• Skip to primary navigation
  • Skip to main content
Earmark CPE

Earmark CPE

Earn CPE Anytime, Anywhere

  • Home
  • App
    • Pricing
    • Web App
    • Download iOS
    • Download Android
    • Release Notes
  • Webinars
  • Podcast
  • Blog
  • FAQ
  • Authors
  • Sponsors
  • About
    • Press
  • Careers
  • Contact
  • Show Search
Hide Search

Webinars

Your AI Isn’t the Problem—Your Ledger Is

Earmark Team · July 6, 2026 ·

You export a report from your accounting software, spend 20 minutes cleaning up the data in a spreadsheet, paste it into ChatGPT, and ask about vendor spending trends. The AI immediately asks for more context that wasn’t in your export. Back to the source system, pull another report, reformat, and upload again. The cycle repeats.

If this loop feels painfully familiar, you’re not alone.

In a recent Earmark webinar, Megan Reid, Product Specialist at Digits, demonstrated exactly why this workflow keeps breaking down and introduced a technology designed to eliminate it entirely. The webinar unpacks what’s really limiting AI’s usefulness in accounting and shows a fundamentally different approach.

The core message is that Model Context Protocol (MCP) eliminates the export-reformat-upload cycle, but only if your ledger is truly AI-ready. As Megan explained, your financial data architecture now determines whether AI delivers reliable insights or confidently wrong answers.

 

The traditional workflow is fundamentally broken

Let’s walk through what Megan calls the “bolt-on” AI workflow. Most accountants know this workflow far too well.

  1. You export a report. The moment you hit that button, your data freezes in time. You’re working with a snapshot, not live information.
  2. Manual cleanup begins. You’re renaming columns, adjusting formulas and reformatting data. Every manual touch introduces potential errors.
  3. You send the cleaned data to your AI tool. It analyzes what you’ve given it and generates an answer, but it can only see that specific export. No additional context or visibility beyond that snapshot.
  4. The AI needs more information. Maybe vendor history or prior period details that weren’t in your original report. You can’t answer without going back to start the entire process over.

“This isn’t a limitation on the AI,” Megan emphasized during the session. “It’s a limitation on the data pipeline feeding into the AI.”

Megan introduced a powerful concept when she explained that AI acts as a megaphone for your data. When the input signal is clean (i.e., real-time, well-structured, and consistently categorized), AI generates accurate analysis and trustworthy insights. When the signal is poor (i.e, outdated data, inconsistent vendor names, and incomplete transactions), the AI still produces an answer.

“A wrong answer delivered with confidence,” Megan noted, “is often worse than no answer at all.”

The accounting profession recognizes this shift. The Journal of Accountancy states that “the profession must pivot from doing to supervising when AI does the work.” As one industry publication put it, “The industry is shifting from manual data entry to automation, where the accountant’s job is less about performing repetitive tasks and more about defining the logic once and letting the system run it.”

But you can’t supervise what you don’t understand. And you can’t get reliable outputs from a broken data pipeline.

Enter Model Context Protocol

So what breaks the cycle? That’s where MCP comes in.

At its core, MCP is an open standard letting AI tools like Claude, ChatGPT, and Cursor connect directly to live data sources. Megan offered a perfect analogy: think of MCP as USB-C for AI. Before USB-C, every device needed a different cable. USB-C created one standardized connection. MCP does the same for AI and data.

The AI doesn’t change. It simply gains direct, permission-based access to your financial information through a standardized connection. No exports, uploads, or stale spreadsheets. The AI reads your live ledger in real time with full context.

But Megan stressed MCP is only as powerful as the ledger it connects to. A direct pipeline to messy data just delivers messy answers faster.

How do you know if your ledger is ready? Megan presented three diagnostic questions:

  1. Are transactions sitting in a queue? In traditional systems, bank feeds arrive uncategorized, waiting for manual review and posting. If your books take two weeks to close, your AI operates on two-week-old information. “It’s difficult for business owners to make real-time decisions using old data,” Megan explained.
  2. Does your system know “Uber” and “Uber Technologies Inc.” are the same vendor? To humans, it’s obvious. To traditional ledgers, they’re separate text strings. “This isn’t a data entry problem,” Megan clarified. “It’s a data architecture problem.”
  3. Is the tool itself a bottleneck? When slow page loads, endless clicking, and constant manual saves slow you down, data falls behind.

If you answered yes to any of these, your ledger isn’t AI-ready, regardless of how sophisticated your AI tools are.

The four pillars of an AI-ready ledger

Megan outlined what an AI-native ledger actually looks like through four pillars:

Real-time processing

Transactions are automatically categorized and posted as they arrive, not sitting in a queue. With Digits, for example, transactions are “continuously being posted, reviewed, reconciled, and reflected in your financials in real time.”

Object-oriented data

Every vendor, customer, and category is stored as a structured object. Variations from the same vendor are treated as a single entity, providing AI and accountants with a reliable foundation for analysis.

Autonomous bookkeeping

The system handles routine bookkeeping automatically, allowing accountants to focus on “reviewing, supervising, advising, rather than manually processing those transactions.”

Accessibility

Even the best technology has limited impact if firms face barriers to adoption. As Megan noted, firms shouldn’t have to “navigate complex pricing models, marketplace restrictions, and AI licensing costs just to take advantage of these modern tools.”

“AI readiness isn’t about having access to AI tools,” Megan summarized. “It’s about having a financial system that can provide accurate, structured, current information for those tools to work with.”

Seeing MCP in action

Theory is one thing. Watching it work is another.

During the live demo, Megan showed exactly what MCP-powered accounting looks like using Claude’s desktop app. Setup was surprisingly simple. You open Claude, navigate to connectors, search for Digits, and add it. No complex configuration needed.

With the connection live, Megan demonstrated real-world scenarios using a demo client:

  • Vendor spend analysis. She asked Claude to review which vendors grew most over three months and flag unusual spending. Within minutes, the AI identified that payroll scaled smoothly with headcount, spotted a November bonus spike, and highlighted fast-rising smaller vendors. No exports or reformatting. Just direct questions and detailed answers.
  • Budget creation. She requested a 2026 budget based on two years of historical data. The AI produced a complete budget showing prior actuals, year-over-year changes, and projections with adjustable assumptions, like testing a 40% revenue growth scenario. Everything was interactive and exportable to Excel.
  • Budget-to-actuals reporting. Building on that budget, she asked for Q1 comparisons. The AI generated monthly trends, variance analysis, and actionable recommendations. It didn’t just show that revenue was below budget and expenses were over. It identified specific areas to review, like legal costs and growth assumptions.
  • Expense optimization. When asked to identify potential cuts, the AI flagged a $1,600 charge for an HR tool that likely overlapped with the demo company’s payroll software. It also spotted a redundant AI bookkeeping subscription that duplicated Digits’ capabilities. These insights normally require hours of manual vendor analysis.

All of this happened in minutes through MCP’s direct, secure access to the live ledger.

The possibilities extend further. As Megan explained, you could connect MCP to multiple tools and ask cross-functional questions like, “Look at the last call I had with Megan’s demo client. What were the things they pointed out and compare that to the actual financials over the last three months? Help me identify what I should highlight with my client on our next call.”

The ledger is your constant. Everything else is variable.

“The best AI tool for your accounting is whatever you prefer,” Megan said in closing. “The best ledger for your AI tool is one that agents love most.”

AI tools will evolve and multiply. The ledger’s quality, structure, and accessibility are the constant determining whether any of them deliver value.

The shift isn’t just technological. As Tom Hood, Executive Vice President, Business Growth and Engagement at AICPA, noted, this is “an inflection point where finance leaders agree that people drive transformation success—mindset, skills, and leadership, not technology alone.”

Your role is evolving from data processor to financial supervisor and strategic advisor. Success means understanding the technology well enough to oversee it effectively.

Here’s where to start:

  • Audit your current workflow. How much time do you spend exporting and reformatting before AI can help? That’s your friction baseline.
  • Apply the three diagnostic questions. Check for queued bank feeds, unresolved vendor duplicates, and tool-created bottlenecks.
  • Evaluate against the four pillars. Real-time processing, object-oriented data, autonomous bookkeeping, accessibility. If your ledger can’t check these boxes, your AI outputs will always be limited.
  • Start experimenting. Connect an MCP-enabled tool and run some prompts. Even using a demo environment will shift your understanding of what’s possible.
  • Build your vocabulary and mindset. Understanding how to evaluate and supervise AI workflows is now a core professional skill.

The traditional export-reformat-upload workflow is broken because the data pipeline starves AI of the context it needs. MCP fixes the pipeline, but only if your ledger is truly AI-ready.

Watch the full on-demand webinar to see the live demos, walk through the diagnostic framework, and start building your firm’s AI-readiness roadmap.

The $15,000 Mistake That Could Happen to Your Firm Tomorrow

Earmark Team · July 6, 2026 ·

A top-20 CPA firm in Minnesota got hit with a $15,000 fine. The fine didn’t stem from shoddy audit work, but from letting a license lapse. Worse, they had to reissue every single report completed during the lapsed period. Imagine making that call to your clients. And they’re far from alone.

In a recent Earmark webinar, Lindsay Patterson, co-founder and CEO of CPA QualityPro, and Julia Woislaw, the company’s VP of Strategic Partnerships and Regulatory Affairs, laid out the seismic changes reshaping CPA licensure and mobility laws across the country. Every day, their company works with firms, state societies, and state boards on compliance issues just like this. And what they’re seeing right now is unprecedented. As Lindsay put it, this isn’t just the biggest and fastest change in licensure they’ve seen in their careers.

The sweeping adoption of alternative CPA licensure pathways across nearly every U.S. jurisdiction has shattered the profession’s long-standing uniformity. What was once a simple, state-based mobility system is being replaced by a complex, individual-based model that demands every firm rethink how it tracks qualifications, verifies practice privileges, and engages with state boards. This affects every practicing professional. And firms that don’t adapt risk joining a growing list of practitioners facing fines, probation, and forced report reissuances for compliance failures they never saw coming.

During the webinar, we discussed what the new licensure pathways look like, why the loss of uniformity matters so much, how both individual and firm mobility rules are shifting and where the compliance gray zones are hiding, and the real disciplinary consequences firms are already facing. We also shared practical steps you can take to protect yourself.

The biggest licensure shake-up in decades, and why it affects you

For roughly two decades, becoming a CPA looked basically the same no matter where you lived. You passed the uniform CPA exam, logged one year of experience, and completed 150 credit hours of education that included a bachelor’s degree. Sure, there were minor variations and safe harbors between jurisdictions, but the core formula was consistent across all 55 U.S. jurisdictions. That uniformity was the foundation on which everything else rested, including mobility and reciprocity. A state board in Texas could look at a Washington-licensed CPA and say, “You’re good.”

That foundation is cracking.

States are now preserving the traditional 150-hour route while adding a second pathway to licensure. Under the new option, candidates still take the uniform CPA exam, but they can get licensed with a bachelor’s degree (approximately 120 credit hours) and two years of experience instead of 150 hours and one year. The intent is sound. It lowers the cost barrier to entry, potentially expands the pipeline, and gives aspiring CPAs more flexibility. Nearly every state has either passed this new pathway legislation or is actively pursuing it.

And it happened fast. As Lindsay noted, the original move to CPA mobility took about 20 years to roll out across jurisdictions. These recent changes swept through state legislatures in just the past couple of years. “This is the biggest change we’ve seen in licensure in my whole career,” Julia agreed.

It’s great news for the profession’s talent pipeline. But it gets complicated for everyone else.

Each of those 55 jurisdictions writes its own laws and rules. They have their own legislatures, their own boards of accountancy, and their own political dynamics. Nobody was going to pass identical language, even if they wanted to. The result is a growing web of state-specific discrepancies that practitioners need to understand.

Take something as seemingly straightforward as what “bachelor’s degree” means. New York has defined it as 120 credit hours. Washington state simply references “a bachelor’s degree” without specifying a number. That distinction might seem academic right now, but it won’t stay that way. Universities are already exploring accelerated degree programs, such as 90-hour bachelor’s degrees and three-year tracks. A CPA who earns one of those degrees and gets licensed in Washington could face a very different reception from the New York State Board of Accountancy.

Then there’s the experience requirement. Most states have moved to what’s called “verified” experience, meaning any CPA who’s familiar with your work. They don’t necessarily have to be your direct supervisor, but they can vouch for you to the state board. But New York and a handful of other states still require “supervised” experience, where your direct supervisor must be a CPA who personally signs off on your qualifications. If you got licensed under the verified model in one state, that distinction could matter enormously when you try to practice in a supervised-experience state.

Julia and Lindsay distilled the new-pathway landscape into three takeaways that every firm should internalize:

  • New talent opportunities are real. More pathways mean more people can become CPAs, which is genuinely positive for a profession facing serious workforce challenges. If your firm is thinking about recruiting, this opens doors.
  • States are moving out of uniformity, and we’re in a messy transition. We don’t yet know how every state board will respond to CPAs licensed under pathways that differ from their own. Some boards haven’t even begun to address it publicly. That ambiguity is itself a compliance risk.
  • These changes affect every CPA, not just new ones. Julia returned to this point several times because most practitioners miss it. Initial licensure isn’t just a historical footnote in your career. It’s the foundation regulators use to determine whether you have practice privileges in their state. How you got your license five, ten, or twenty years ago now matters in ways it never did before.

That last point deserves emphasis. If you’re a veteran CPA who earned your license under a pathway that no longer mirrors what another state requires, you could face questions about your right to practice there.

So if how you got licensed now determines where you can practice, what does that mean for the mobility privileges CPAs have long taken for granted?

From state-based to individual-based mobility: A new compliance equation

Under the old model, if you have an active license in Washington state, any other state can look at Washington’s licensure requirements, confirm they are “substantially equivalent” to their own, and waive you through. Your home state vouched for you. Simple.

That model is dying. In its place, states are building an individual-based system that asks a fundamentally different question: not where you got your license, but how you got it.

Most states adopting the new framework say that if you’re a CPA “in good standing,” you’re generally fine to practice across state lines. But (and this is a big but) some states are adding guardrails. They’re saying you have mobility privileges only if your initial licensure pathway matches one of their current pathways. And “in good standing” itself isn’t defined uniformly. A lapsed license in one state almost certainly kills your standing elsewhere, but beyond that, the definition can vary.

Consider Lindsay’s own situation. She’s licensed in Washington with verified experience. New York’s new mobility law grants mobility to CPAs whose qualifications match one of New York’s current licensure pathways. New York requires supervised experience. Will the New York board deny her practice privileges because her experience was verified rather than supervised? Nobody knows yet. The board hasn’t had to address the question publicly.

That uncertainty is the point. We’re in the gap between legislation and implementation, and that’s where compliance risk lives.

The map of states moving to individual-based mobility is already almost entirely purple, as Lindsay showed during the webinar. She anticipates 95% coverage within about 18 months. The notable holdout is Hawaii, which has no mobility and, as Lindsay bluntly put it, likely won’t anytime soon. “I would be shocked if they passed mobility any time soon,” she said. “You need to have a license in Hawaii.”

What you now need to know about every CPA in your firm

Lindsay and Julia said they haven’t found a single firm that already tracks the specific details of how each CPA in the firm got licensed. That means education (150 or 120 hours? bachelor’s or master’s?), experience (one year or two? supervised or verified?), and the states in which they hold licenses. Under the old model, none of this granularity mattered much. Under the new one, it determines who you can assign to which engagements in which states.

With these individual qualifications becoming so critical, firms face a new administrative burden that most aren’t prepared for. But individual mobility is only half the equation.

Firm mobility is a different animal entirely

Individual mobility is about people. Firm mobility is about entities and hinges heavily on the type of service you provide, especially attest services. Even in states that offer firm mobility with no notice and no fee, there are conditions. And those conditions have teeth.

The big ones include majority CPA ownership. This requirement is taking on new urgency as private equity investment reshapes firm structures. If a PE deal changes your ownership percentages, your firm’s mobility could evaporate in states you’re actively serving. Peer review enrollment is another trigger, and states don’t agree on which services require it. A compilation might not trigger peer review in your home state, even if it does in the state where your client sits. Change notification requirements also apply, sometimes even to notices of intent to practice that aren’t full licenses.

Julia walked through a scenario that makes this concrete. A firm with offices in Utah and Colorado picks up a new audit client in Florida. The good news is that Florida has firm mobility even for attest services. The bad news is that Florida’s conditions include majority CPA ownership, peer review enrollment, a requirement that non-licensed owners be principally engaged in the business, and compliance with Florida-specific rules on minimum capitalization, letters of credit, and liability insurance. “I don’t know any firm that checks that before they take on a client,” Julia admitted. While a state board might not look for these issues proactively, if something else triggers an investigation, suddenly every one of these conditions gets scrutinized.

Then there’s Mississippi, which requires the specific office providing attest services to hold a state license, not just the firm. If your Alabama office is licensed in Mississippi but you shift an engagement to your Arkansas team, that Arkansas office needs its own Mississippi license. That detail is easy to miss and expensive to get wrong.

And what happens when state law and board guidance don’t match? Maine passed legislation allowing firm mobility with no notice or fee for attest services. But the Maine Board of Accountancy still hasn’t updated its rules. Its guidance still says you need a license. Lindsay’s advice mirrors how you’d approach an audit: “Not documented, not done.” If you call a board and get a verbal okay from a staff member, that’s not enough. Staff change. Board members change. Interpretations shift. Get it in writing, at minimum via email, but a formal guidance document is best.

Two more compliance traps are worth flagging. First, what counts as an attest service varies by state. Compilations may or may not qualify depending on the jurisdiction, which affects everything from peer review requirements to firm registration. Second, remote employees working from a different state than their firm’s office creates real questions about the principal place of business. If your CPA lives in New Jersey but works for a New York firm, and they hold themselves out as a CPA in New Jersey (even just on LinkedIn or in an email signature), they likely need a New Jersey license.

Firms are already facing real consequences for compliance failures, and many of those failures are entirely preventable.

Real consequences and what you can do about it

State boards aren’t waiting for the dust to settle on these changes before enforcing compliance. They’re already sanctioning firms, and the violations they’re catching aren’t exotic edge cases. They’re the kinds of mistakes that happen when busy professionals lose track of deadlines or assume their existing setup is fine.

The most common violations Lindsay and Julia pulled from state board minutes and client conversations boil down to a surprisingly short list:

  • Not renewing licenses on time. This one tops the charts at both the individual and firm level. Different states renew on different timelines. Some annually, some biennially and even some triennially. And the trigger dates vary wildly. Some states renew in December. Some on the anniversary of your initial license. Some on your birthday. When you’re tracking licenses for dozens of CPAs across multiple states, missed deadlines become almost inevitable without a solid system.
  • Providing attest services without proper licensing or notification. Say a firm takes on a new engagement type for an existing out-of-state client, such as stepping up from tax work to an audit, without checking whether that triggers additional registration or notification requirements. It does in many states.
  • Failure to complete CPE. Self-explanatory, but still alarmingly common.
  • Not knowing which states require a license at all. Lindsay noted that most firms they speak to are inadvertently breaking at least one small rule. Nobody’s acting in bad faith; they just haven’t checked.
  • Individual CPAs lacking a license in their principal place of business. Post-COVID remote work has made this one pervasive.

The real disciplinary examples are sobering. Beyond the Minnesota top-20 firm that opened this article, there’s a Texas firm whose delinquent attest license was revoked entirely. A New York CPA received two years of probation and a $5,000 fine simply for holding out as a CPA with a lapsed license. And “holding out” doesn’t require anything dramatic. Your email signature or LinkedIn profile counts, as does your firm’s website listing you as “Jane Doe, CPA.”

North Carolina flagged four firms across three states that failed to file the required notice of attest when providing attest services in those states. None were trying to skirt the rules. They just didn’t know the requirement existed.

And a detail that surprised even Lindsay and Julia is that the people who most often let individual license renewals lapse are partners. They’re the busiest people in the firm, the ones signing audit reports, and the ones whose lapse carries the most consequences.

Building a compliance infrastructure that actually works

So what do you do with all of this? Lindsay and Julia laid out a practical framework that any firm can start implementing immediately.

  • Assess your current tracking system. How are you monitoring license renewal dates, CPA qualifications, and state-specific practice privilege requirements right now? Many firms are running on aging Excel spreadsheets that one person maintains. When that person goes on leave or leaves the firm, the entire system breaks down. If that sounds familiar, you’ve identified your first point of failure.
  • Map your full exposure. Identify every state where you have clients, what services you provide in each, how your firm advertises itself in those states, and whether your staff’s qualifications actually align with each state’s requirements. This exercise alone will likely uncover gaps you didn’t know existed.
  • Trust but verify. Don’t assume your CPAs’ licenses are active just because they say so. Use CPA Verify or individual state board websites to independently confirm license status. Renewal deadlines get missed during busy season. It happens, but catching it before a state board does is the difference between a quick fix and a public disciplinary notice.

Watch the full webinar for more takeaways.

One-Third of B2B Payments Still Arrive by Check. Here’s the Hidden Cost

Earmark Team · July 1, 2026 ·

A $20 million windows business was doing what countless companies do every day: attaching their bank account information to invoices they emailed out. A bad actor intercepted one of those emails, swapped the bank details for an offshore account, hacked into the company’s system, and accessed their entire customer base. Then they blasted fake invoices to every client on the list. In just one month, they stole nearly $100,000.

What makes this story unsettling isn’t that it was sophisticated — it wasn’t. It was a predictable result of manual accounts receivable (AR) processes that millions of businesses still use today.

That story came from a recent webinar presented by Baxter Lanius, CEO and founder of Alternative Payments — a company focused on accounts receivable automation that has processed over $1 billion in payments and works with more than 1,000 customers, including around 100 accountants, bookkeepers, and controllers.

The session, hosted in partnership with Earmark, exposed something most of us know but rarely measure: the manual AR processes most businesses still rely on drain thousands of dollars from your clients’ bottom lines. Check processing, email-based invoice chasing, and hand-done reconciliation all add up. And with interest rates rising and margins getting squeezed, fixing these hidden payment costs through AR automation might be one of the best services you can offer clients right now.

The true cost of manual AR

Before you can fix a problem, you need to see it clearly. Most firms haven’t done the math on what manual payment processes actually cost their clients.

Let’s start with checks. Thirty-three percent of all B2B payments are still check-based. And each check costs between $10 and $15 to process when you factor in the time and manual labor needed to handle it. Think about a client processing a few hundred checks monthly. That’s thousands of dollars in hidden costs that never show up on the P&L, but they’re eating profits all the same.

Then there’s the security risk. As Baxter put it, “When you hand somebody a check, you hand them your bank account number and routing number.” It’s printed right there on the bottom of every check, and it’s a security hole hiding in plain sight. The $20 million windows company is an extreme case, but the risk exists every time a check changes hands. Add in lost packages and stolen mail, and checks become what Baxter called “a very inconsistent way to get paid.”

Another problem that compounds over time is days’ sales outstanding (DSO). When clients don’t pay for 30, 40, or 60 days, working capital gets locked up. And if your client pays their vendors quickly but waits forever to get paid themselves, they can wind up in a cash flow crunch.

“If clients aren’t paying you after 30 days or 40 days, don’t you think there’s a higher probability of bad debt expense or potential write-offs?” Baxter asked. When does a $50,000 receivable become a write-off? Day 60? Day 90? Every day increases the risk.

Manual reconciliation deserves its own spotlight. Baxter shared an example from a real Alternative Payments customer during the webinar. Before automation, the company had three people whose job was basically opening the bank account and refresh, refresh, refresh. If a customer paid, they’d try to match a $1,500 or $2,500 deposit to the right invoice. Then tie that to cash in the bank. All done by hand.

Then there’s the risk of human error. He admitted to fat-fingering bill payments himself and spent time chasing down overpayments. Some businesses still record credit card numbers on paper or store them in Excel files. That’s a PCI compliance violation waiting to happen.

Here’s what manual AR really costs your clients:

  • $10–$15 per check in processing labor
  • Locked-up working capital from long DSO
  • Fraud and compliance risks from exposed bank information
  • Hours of manual reconciliation every week
  • Higher bad debt risk on old receivables

The industry-wide context makes this worse. Only about 30% of B2B invoices get paid online today. Even among Alternative Payments’ established customers who’ve been on the platform for six months, only 70% of revenue flows online. The other 30% still moves offline, mostly through checks. The gap between where businesses are and where they could be is huge.

The macro environment makes this problem urgent now

These inefficiencies have been around forever. But today’s economic environment makes every one of them more expensive and more dangerous.

Start with the cost of capital. Everyone expected interest rates to fall, but that hasn’t happened. At the time of the webinar, Baxter estimated there was over a 50% chance rates would rise another 25 to 50 basis points in the year ahead. That changes everything about dollars sitting idle in your client’s AR pipeline. Money locked in unpaid receivables is expensive. Companies can’t reinvest it, use it to reduce debt, or earn returns elsewhere. What was a minor issue two years ago is now a real drag on profits.

Meanwhile, margins are getting squeezed everywhere. Minimum wages are climbing across the country. Hard goods costs are up. Revenue that can’t keep up with rising expenses magnifies every inefficiency. A manual AR process that was just annoying when margins were fat becomes truly threatening when they’re thin.

Small businesses are also failing faster. They’ve always been risky, but AI and automation, he noted, accelerate how fast weak businesses fail. Companies that don’t adopt efficient processes fall behind competitors who do. For accountants, this matters in two ways. First, your clients need help staying competitive. Second, if clients go under, you lose revenue. Helping them automate AR protects your own business.

Tying it all together, financial processes are, as he put it, “one of the last remaining components of our businesses that remain really manual.” We’ve automated marketing, sales, and big chunks of tax prep and bookkeeping. But actually moving and matching money still runs on manual effort in most firms.

AI is advancing rapidly as a tool for closing books and running operations. But Baxter made the point that it’s not about AI for AI’s sake. It’s about results. Whether automation comes from AI, workflow rules, or both, the goal is eliminating manual steps that waste time, create errors, and lock up capital. When all those costs are rising, there’s a clear return on automation.

The bottom line is, if your clients have capital tied up in inefficient AR, they’re paying more for that inefficiency than they were two years ago. If you’re not helping them fix it, someone else will.

Automation features that deliver measurable results

So the problem is real, and timing is urgent. What actually works, and by how much?

The webinar laid out specific features with hard numbers. This is the kind of data you can use to convince clients who are still on the fence.

  • Autopay is the biggest game-changer. When clients set up autopay, where a saved card or bank account gets charged automatically when invoices come due, their time-to-payment drops by 80% to 90%. That’s transformational. It kills the entire waiting-and-hoping cycle that makes DSO unpredictable. And it removes manual work on both sides. Customers don’t have to remember to pay, and your client doesn’t have to chase them.
  • Automated reminders are the second-most powerful tool. Alternative Payments’ data shows clients who get automated invoice reminders pay 66% faster than those who don’t. It makes sense. When reminders keep invoices top of mind, they never become those forgotten 120-day outliers that drag up average DSO. Modern platforms let you customize tone based on how overdue invoices are. A friendly nudge at five days. Firmer at 30. More edge at 45. They’re even launching an AI agent that can automatically customize these sequences.
  • Credit card surcharging saves money. About 80% of Alternative Payments’ clients pass credit card fees on to their customers, and it’s becoming the norm everywhere. Baxter shared a personal example from his insurance company, Chubb. The company told all policyholders they’d start charging 2.99% for credit card payments. So Baxter switched to ACH autopay. Problem solved. When 20% of payments are by credit card, 3% on that volume adds up fast.
  • Automated reconciliation eliminates the worst work. The platform handles daily payouts with full invoice-to-cash matching built in. When payments come through, it automatically matches them to invoices in QBO, Xero, NetSuite, or whatever system your client uses. No more marking invoices paid by hand. No more refreshing bank accounts, trying to match deposits. For audit prep, this automated documentation saves serious time.

Baxter shared a case study that put real numbers behind these features. S1 Technology was getting paid 30 days after due dates. Only 15% of clients paid electronically, and the other 85% wrote checks. They stored credit card numbers in Excel. After implementation, they cut collection times by 70% and drove major online adoption.

Two other features deserve attention because they solve common problems:

  1. Multi-tenancy lets you manage AR for all clients from a single dashboard. You can click between client accounts, adjust automations, check what’s outstanding, and run reports, all without logging in and out of different systems. For accountants managing 10, 50, or 100 clients, this makes AR management scalable instead of a bottleneck.
  2. Simple onboarding removes adoption friction. Many platforms require clients to fill out applications or create accounts before paying, and that’s where adoption stalls. The better approach is automatic. Alternative Payments creates accounts from integration data, ports over invoice history, and migrates payment methods so they’re ready when clients pay. The portal is white-labeled with your client’s brand, URL, and email, so it feels like their business rather than a third-party tool.

What this means for your practice—and your clients

Let’s bring this back to the numbers, the opportunity, and your next move.

  • Manual AR imposes a hidden tax that never shows up on financial statements — paper check processing, trapped working capital, fraud exposure, lost reconciliation hours, and growing bad debt risk. Each one is more expensive in today’s environment than it was two years ago.

Against that backdrop, the automation results speak for themselves. Autopay cuts payment time by 80% to 90%. Automated reminders speed collections by 66%. Firms using these workflows reduce overall collection times by up to 70%. Credit card surcharging is now standard for 80% of businesses on the platform, recovering about 3% on every card transaction. And automated reconciliation eliminates the most mind-numbing task in accounting.

For accountants, AR automation is a legitimate service line that delivers measurable value to clients while freeing your team from work that AI and automation are making obsolete. As traditional accounting services become increasingly commoditized, the ability to identify hidden financial drains and address them distinguishes advisory practices from commodity bookkeeping.

Alternative Payments also offers a referral program for accountants, with 10% lifetime commissions on referred clients, paid quarterly and managed directly through the platform. It’s another way AR automation can become a revenue stream, not just a cost-saver.

The full webinar goes deeper, including platform demos, workflow examples, and details on how multi-tenancy and integration with QBO, Xero, NetSuite, and other systems work in practice. If you want to see exactly what manual AR costs your clients and understand how to fix it, it’s worth watching.

The Month-End Close Is Accounting’s Biggest Bottleneck. Here’s How AI Is Dismantling It

Earmark Team · May 7, 2026 ·

The day before a tax deadline, and accountants from Miami to Vancouver, Portland to New York, logged into a CPE-eligible webinar to learn something that could fundamentally change how they work. The webinar showed how these professionals can shrink the most time-consuming part of their month-end close, like reconciliations, transaction coding, and bank statement chasing, from days to minutes.

Megan Reid, product specialist at Digits, led the session, and she brings a unique perspective. She’s an accountant with 15 years in the trenches, starting at a Big Four firm, moving through banking and construction, and now helping firms build what she calls an “AI-native” practice. As she put it to the audience, “As accountants, we want to be able to serve more clients, provide better service, and do so quickly and efficiently.”

The traditional month-end close is accounting’s biggest bottleneck. It’s that manual grind through booking transactions, reconciling statements, updating schedules, reviewing anomalies, and (if there’s time left) analyzing the numbers and creating the reports clients care about. “It’s a manual, tedious, time-consuming process that honestly leaves a lot to be desired for both the business owners and the accountants,” Megan said bluntly. 

But what if you could flip that entire workflow? What if instead of reviewing every transaction, you only touched the ones AI couldn’t confidently handle? That’s exactly what Megan demonstrated live, showing how AI-native platforms transform the close from a compliance chore into an opportunity for real advisory work.

The bottlenecks killing your efficiency

Before diving into solutions, Megan mapped out where the traditional close breaks down. You start in QuickBooks or your ledger of choice, but quickly find yourself bouncing between Excel, browser tabs for vendor research, your close management tool, and who knows what else. “Not only are you managing the work across all these multiple platforms,” she explained, “you’re also spending time validating sync accuracy, troubleshooting issues, and making sure the data moves seamlessly throughout the various systems.”

Each phase has its own special frustrations:

  • Manual data entry and rule management introduce human error
  • Fighting with bank access and chasing clients for statements
  • Disconnected tools for AP, credit cards, and close management
  • Team members use different processes, causing rework and confusion
  • Manual journal entries pile up at period-end

As a result, most of your time goes to necessary but low-value tasks, leaving little room for the analysis and insights your clients actually hired you to provide.

How AI learns your way of doing things

The shift to AI-native platforms involves intelligence that learns and adapts. When Megan pulled up the demo client in Digits, she showed hundreds of transactions the AI automatically categorized. Only eight were flagged for review.

“How does it know how to categorize transactions?” she asked, anticipating the obvious question. The answer lies in three layers of learning.

First, there’s client-level learning. When you correct a categorization for a specific client, the system learns instantly. “If you review something for a brand new client and you say, ‘nope, you categorized this to software, but I actually want it to be cost of revenue,’ Digits learns from that instantly,” Megan explained.

Second, there’s firm-level learning. The system recognizes patterns across your entire client base. If the system does not have the client-level layer of knowledge, it falls to the firm-level. “How has my firm done this across all of my clients? It automatically applies your firm’s unique value to your client base.”

Third, when a transaction is entirely new, proprietary models trained on billions of dollars’ worth of transactions make the call.

During the live demo, Megan reviewed a U.S. Patent and Trademark Office transaction the AI thought might be taxes. She looked at the suggestions (taxes, legal, or a new intangibles account), selected “Legal,” and clicked save. The system immediately found two similar transactions and updated them automatically. The review queue dropped from eight to five in seconds.

But what really eliminates busywork is the AI agents run 24/7 in the background, researching vendors and populating details. “None of this has been populated manually,” Megan showed, clicking through a vendor profile complete with name, logo, description, and related websites. “We’re essentially researching them and populating all of the data for you.”

Bank reconciliation without the chase

If transaction categorization is tedious, reconciliation might be even worse. You know the drill: fighting for bank access, emailing clients for statements, then manually comparing the ledger to the statement line by line.

Megan demonstrated the “happy path” first. Digits pulled a Mercury bank statement via an API, automatically kicked off reconciliation, matched every transaction with pixel-level precision on the PDF, confirmed the ending balance, and finalized everything. Zero human touches required.

“Some firms we work with actually say, ‘I uploaded six months of bank statements and just watched them finalize one by one. And I didn’t do anything,'” Megan shared.

When auto-reconciliation can’t finalize completely, it doesn’t leave you guessing. The system flags specific issues, such as:

  • Missing transactions that exist on the statement but not in the ledger (one click to create)
  • Date mismatches where something cleared May 31 but hit the ledger June 1 (one click to adjust)
  • Unsettled items like checks that haven’t cleared yet

For banks without API access, such as small credit unions, you simply drag and drop a PDF statement. During the demo, Megan dragged a statement into the system and watched it extract data and start reconciling in seconds.

She took it further with a cleanup scenario. Starting with a brand-new bank account, she imported a PDF statement. Within moments, 14 transactions appeared as uncategorized. Seconds later, the AI had populated every vendor name and category without a single manual input.

Turning saved time into client value

Speed alone isn’t the point. As Megan emphasized, “the compliance and the month-end close is really just a means to an end,” the end being insights and value for clients.

The dashboards in Digits default to the current month because, as Megan noted, “knowing something two months late doesn’t usually help.” Every metric is live and drillable. Click into gross income, and you see the definition, calculation, and every underlying transaction. Your clients finally understand how you arrived at the numbers.

Each client gets customized dashboards. “Maybe you have a client that’s like, ‘we’re spending so much money on travel,'” Megan explained, showing how to add customized metrics that are specific to each client. A profitable client with ten years of runway might swap that widget for gross profit or vendor analysis.

Collaboration happens right on the platform. On any transaction, category, or report, you can leave a question. The client receives a notification and can respond directly from email without logging in. “One of the biggest pain points is transfer of knowledge,” Megan said, “making sure that you have everything that you need from your clients and vice versa.”

Custom reports become interactive stories rather than black-and-white PDFs. The AI generates insights like “You earned 33% more in March compared to the prior month” with drill-down capability to see exactly why. Important insights can be pinned to the executive summary so they’re the first thing clients see.

What this means for your firm

During the Q&A, attendees asked practical questions. One wondered if this integrates with QuickBooks or replaces it entirely. “Digits is a complete ledger system. So it’s a complete replacement,” Megan answered. They can migrate QuickBooks data in about two minutes, but this is a ground-up rebuild, not a bolt-on tool.

Another attendee asked about company scale. The focus is on small and medium-sized businesses, which is the client base most firms serve.

The shift from reviewing everything to reviewing only exceptions makes the close faster and more consistent across your team, less error-prone, and it frees up capacity to serve more clients without hiring proportionally.

“It’s a very exciting time to be an accountant while also a little bit scary,” Megan acknowledged near the session’s end. “I think it’s a time to really lean in and be excited.”

She’s right. The firms embracing AI-native tools now will deliver premium advisory services while their competitors are reconciling bank statements at midnight.

To see these workflows in action, watch the full webinar. Every accountant who signs up gets access to a sandbox demo environment where you can test these workflows with real data. And if you attended live or watch the recording, you can earn CPE credit through the Earmark app. Just search for the course and complete the quiz.

The close is changing. Will you lead that change or follow it?

A $50 Billion Company Couldn’t Match a Wire Transfer to an Invoice—And Your Clients Probably Can’t Either

Earmark Team · May 4, 2026 ·

Three years ago, Baxter Lanius received an email from a large software vendor, a company worth close to $50 billion, telling him he hadn’t paid his invoice. The invoice was a year old. Baxter checked his records, found proof of payment, and sent it back. The vendor responded, “Can you send me the PDF proof from the bank?” They’d received two wire transfers on the same day for the same amount, and they couldn’t figure out which one was his.

“I was like, oh my God, this is crazy,” Baxter recalled during a recent Earmark webinar, Build Predictable Collection Workflows That Improve Client Cash Flow. “How is a company this large having such a difficult time reconciling the transaction?”

If a $50 billion company can’t match a wire to an invoice, imagine what’s happening inside your clients’ businesses (or your own firm).

Baxter, the CEO and founder of Alternative Payments, has spent the past decade working with service-based businesses, including accounting firms, business process outsourcing companies, IT services, and even fast-casual restaurants and logistics companies. They all share the same problem. They struggle to get paid. And the costs are far higher than most realize.

The reality is, service-based businesses leave tens of thousands of dollars on the table each year because their accounts receivable workflows remain stuck in a manual, check-driven era. But as Baxter demonstrates in the webinar, by using four specific automation levers—autopay enrollment, automated reminder sequences, dynamic customer segmentation, and integrated reconciliation—firms can cut average collection times from 35+ days to about five, boost online payment adoption from 30% to 70%, and transform cash flow from a headache into a competitive advantage.

Accounts receivable is broken, and it’s costing you

This number should stop you in your tracks: $25 trillion. That’s the annual volume of B2B payments in the United States alone. And about 40% of that money still moves by check.

You swipe your credit card at the drugstore and use Apple Pay to order dinner. Consumer payments have been frictionless for years. But when one business pays another, we still stuff paper into envelopes.

Baxter pointed out this isn’t universal. In Brazil and India, most B2B transactions happen fully online. The U.S. banking system was so advanced so early that it created inertia. Countries like Brazil and India skipped the desktop generation and went straight to mobile, which forced their technology to accelerate faster. Meanwhile, American businesses built their workflows around checks decades ago and never fully let go.

The fragmented software stack makes everything worse. Consider your typical services-based business. There’s practice management software, a CRM, billing platforms, accounting or ERP software, and maybe a point-of-sale system. Each one handles a different slice of the client relationship. Data ends up stuck in silos, and reconciliation becomes a nightmare.

Then there’s the actual cost of processing checks. On average, each one takes more than ten minutes to handle and costs between $7 and $10. But the real damage is the stretched-out cash flow cycle. Your client writes a check and mails it. It arrives days later. You open it, deposit it, and wait for the funds to clear. Every step adds days to your working capital cycle.

And then there’s the fraud risk. As Baxter put it, “Everybody’s focused on cybersecurity and compliance and risk, but when you actually fill out a check and mail it, your account number and routing number are on the check.” You’re basically handing anyone who touches that envelope the keys to your bank account.

So what does this actually cost? The industry average time-to-pay for service businesses is 35 to 40 days. If you carry $1 million in accounts receivable and get paid in 40 days, reducing that to zero would put the full million into your bank account immediately. Even cutting it by 50% makes a huge difference.

Invoices typically get pushed to collections agencies in the 90- to 120-day range, though nobody wants to send a client to collections. The estimated annual cost for a typical firm is about $35,000, split between manual billing time and the cost of delayed payments.

The current economy makes this more urgent. Rising bank fees, increasing debt defaults, and inflation-driven labor costs are squeezing margins. As Baxter framed it, “This is the time to ask what we’re doing as business owners, what we’re doing as operators, what we’re doing with our clients to help automate some of these workflows.”

Four levers cut collection times from 35 days to five

Alternative Payments has worked with over 1,000 customers, processing more than $1 billion in payments. Its team identified four specific strategies that produce real results.

Lever 1: Autopay enrollment

If you ask Baxter for the single most important thing you can do, his answer is immediate. “If anybody asks me, what’s the secret sauce, it’s autopay.”

Get a client’s credit card or bank account on file and get their permission to pull funds automatically when an invoice is due. You can set this up during contracting or offer a small incentive to encourage enrollment.

The numbers are clear. Manual online payers who receive a digital invoice and choose to pay it themselves still pay an average of 9.5 days after the due date. For autopay customers, it’s just 1.7 days. That’s about an 80% improvement from one workflow change.

Across Alternative Payments’ platform, 62% of all payments are now fully automated, meaning no human touches the transaction from invoice creation through bank reconciliation.

Lever 2: Automated email reminder sequences

This lever sounds simple, but the data tells the story. When companies enable automated reminders, payments arrive 1.8 days after the due date. Without automated reminders, payments arrive 6.1 days after the due date.

“It’s pretty intuitive,” Baxter said. “If you receive an email from your vendor that says, ‘Hey, you owe us money, obviously that makes it very top of mind.”

Think of it as Mailchimp for collections. The customized email sequence runs automatically. Different customer groups can receive different messaging. Reliable payers get gentle touches. Slow payers get more frequent follow-up. The system handles everything without your team drafting a single email.

Lever 3: Dynamic customer segmentation

Instead of treating every client the same, you tag customers into groups based on their payment behavior. Frequent, reliable payers get fewer reminders with lighter language. Clients trending toward collections get a weekly follow-up with customized messaging.

“Nobody wants to manage payments. I get it,” Baxter acknowledged. “But cash flow is the lifeblood of your business. And if you can take a data-driven approach to really target your customers and segment your customers, you can get paid much more quickly.”

You set the rules once, adjust as needed, and the system runs the campaigns automatically.

Lever 4: Integrated reconciliation

This lever eliminates the most tedious back-office work. Full-cycle reconciliation means marking invoices as paid while also matching bank deposits to specific invoices with supporting documentation.

Without this, a payment hits your bank, you pull it into QuickBooks or your ERP, and you manually match it to the right invoice. Multiply that by dozens or hundreds of transactions, and you’ve got a full-time job that adds zero value.

Baxter shared that earlier in his career, “Every single time we won a new deal, we would hire people offshore to do this manual reconciliation for us because we didn’t have a system that owned the process soup to nuts.”

The platform can pull accounts receivable data from multiple systems, including practice management, accounting, and ERP systems, into a single consolidated view. Automations then run against that complete picture.

These four levers together typically drive online payment adoption from 30% to about 70%. S1 Technology reduced its days’ sales outstanding by about 70% by increasing electronic payment adoption from 15% to 90% in three months. Triada, a company with no prior collection systems and 100% check payments, cut collection times in half.

The estimated time savings is about ten hours per week on billing alone.

What’s next: AI collections and beyond

During the Q&A, a participant asked, “Do you see AI eventually helping with things like predicting late payments or prioritizing collections?”

“A million percent,” Baxter answered. 

Alternative Payments is deploying an AI collections agent that reads incoming client replies and drafts appropriate responses. Payment confirmations, scheduling conversations, and even basic dispute resolution can all be handled without a human drafting emails.

“Often, these emails that you get back are pretty monotonous,” Baxter said. “Hey, I’m going to pay my bill. Hey, thank you for the reminder. I’m paying in 15 days.”

The platform is also building predictive late-payment scoring using multiple data signals, including historical payment patterns, invoice characteristics, external news about clients, and even Dun & Bradstreet business data checks. You’ll know which clients need attention before invoices go overdue.

For the 30% of revenue that still arrives via direct wire or check, AI can now read bank feeds, identify deposits, and automatically match them to outstanding invoices. That last chunk of manual reconciliation work starts to disappear.

Looking ahead, Alternative Payments was preparing to launch accounts payable at the time of the webinar. The vision is a unified financial operating system with AR on one side, AP on the other, and reporting and analytics in the middle, all integrated into your existing software stack.

Many firms are discovering a new revenue stream. Those who previously avoided AR management because it was too painful now offer it as a service, charging clients hundreds to thousands of dollars per month for work that’s largely automated on the platform.

The company also offers a referral program with 10% revenue share for partners who bring in new customers, complete with a dashboard to track referrals and earnings.

Time to automate the monotony

Returning to the story that kicked off the webinar, if a $50 billion company can’t match a wire transfer to an invoice, it’s almost certainly happening inside your firm and your clients’ businesses, too.

As Baxter asked during the webinar, “Where do you want to focus your time? You want to focus your time on providing the best service to your clients. You don’t necessarily want to focus your time on the monotony of collecting, sending out emails, reconciling cash, and reconciling invoices.”

Watch the full on-demand webinar below to see exactly how these automation levers could transform cash flow for your firm and your clients.

  • Page 1
  • Page 2
  • Page 3
  • Interim pages omitted …
  • Page 5
  • Go to Next Page »

Copyright © 2026 Earmark Inc. ・Log in

  • Help Center
  • Get The App
  • Terms & Conditions
  • Privacy Policy
  • Press Room
  • Contact Us
  • Refund Policy
  • Complaint Resolution Policy
  • About Us