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From Vanishing Jobs to Work Slop: Inside Accounting’s AI Reality Check

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The accounting profession faces a stark reality-check as entry-level auditor positions have declined by 43% since January, and a third of accountants admit they cannot identify AI-generated fake receipts. 

In episode 455 of The Accounting Podcast, hosts Blake Oliver and David Leary address the growing evidence that AI is disrupting accounting more rapidly than most firms can keep up with. From vanishing entry-level jobs to the rise of “work slop” (low-quality AI output that wastes time and money), the profession is struggling with changes that are both promising and perilous.

The Tech Stack Problem Nobody Wants to Talk About

Before diving into AI’s disruption, Oliver shared a surprising statistic: only 37% of accounting firms require their clients to use their technology stack. That means 63% let clients choose their own tools, creating a mess of incompatible systems and inefficient workflows.

“It’s one of the things we did in my firm that was a differentiator and allowed us to scale quickly,” Oliver explained. “It reduced training time. It increased the speed at which we worked.”

The reluctance to standardize reveals a deeper problem in the profession: firms are so afraid of losing clients that they sacrifice efficiency and scalability. Yet Oliver found the opposite: “The ones that were willing to make that shift ended up listening to us about other things, too. So you might want to consider requiring clients to switch as, like a testing mechanism to see if they’re actually going to be a good fit.”

This standardization challenge becomes even more critical as firms try to implement AI. Without consistent data inputs and workflows, automation becomes nearly impossible.

The Vanishing Entry Level: A 43% Wake-Up Call

The most alarming news Oliver shared was the 43% drop in entry-level auditor job postings since January, based on a study of 126 million job postings. Meanwhile, senior positions requiring ten or more years of experience increased by 6%.

“These firms are extremely shortsighted,” Oliver argued. “They are just trying to juice profits and revenue in the short term. And the easiest way to do that is to replace your entry-level people with AI.”

The vulnerability of these positions is clear. As Oliver explained, “The stuff an entry level auditor does is so basic, like cash confirmations. You can have an AI agent doing cash confirmations all day long. It’s not complicated.”

The fear extends beyond auditing. Nearly half (45%) of accounts payable professionals now fear layoffs in 2025, up from 27% last year. These workers see AI agents matching invoices, approving bills, and processing expense reports—tasks that once required human oversight.

Leary raised an important question: Are firms actually succeeding with AI, or are they cutting staff first and hoping to automate later? In Oliver’s view, the automation is working well enough to justify the cuts. But this creates a long-term problem. Without entry-level positions to train tomorrow’s senior accountants, where will future leaders come from?

Work Slop: The $200 Hidden Cost of Bad AI

A new Harvard Business Review study coined a term for low-quality AI output: “work slop.” And work slop is expensive. Each incident wastes nearly two hours and costs about $186 per worker per month.

Forty percent of workers report receiving work slop in the past month. More than half feel annoyed when they get it, and 42% view the senders as less trustworthy.

“Every time one coworker gives another coworker slop, it costs your company 200 bucks,” Leary emphasized. But, “Employees who turn out work slop probably already did work slop before. They just did it at a much slower volume.”

The hosts shared their own experiences with work slop. Job applicants submit unedited ChatGPT responses. Guest pitches reference the wrong podcast. Some candidates even feed interview questions into AI during live video calls.

“It looks good,” Oliver said about typical work slop. “Like if you look at the email, it’s nicely formatted and it looks good and then you actually read it and you realize that it’s garbage.”

The paradox is striking: 97% of firms admit they’re not using technology efficiently, yet 86% believe AI-using firms have a competitive advantage. The gap between aspiration and execution means firms produce more low-quality work faster rather than better work more efficiently.

The Fraud Detection Crisis

Perhaps most concerning is accountants’ declining ability to spot fraud. Thirty-two percent admit they can’t recognize AI-generated fake receipts. Another 30% are seeing more fraudulent receipts than last year, and 42% suspect colleagues have submitted fake or altered receipts.

“If you want to see just how difficult it is or how easy it is to make one, just go and ask ChatGPT to make you a receipt,” Oliver challenged listeners.

Leary noted that expense fraud isn’t new. After all, people used to pick a receipt up off the ground at McDonald’s. But AI changed the game. Now anyone can generate perfect forgeries on demand.

Oliver explained that current AI models don’t understand physics, so shadows and lighting in fake images often don’t match reality. But detecting these requires expertise most accountants don’t have.

“When nothing is physical anymore, how do you, as an auditor or an accountant, rely on a scanned document?” Oliver asked, highlighting a fundamental challenge for the profession.

Solutions Emerging from the Chaos

Despite the challenges, practical solutions are emerging. Zapier announced a “human in the loop” feature that pauses automated workflows for human review at critical points. “Don’t try to automate the whole workflow,” Oliver advised. “Try to automate one task in the workflow.”

Keeper launched a new AI product that converts payroll reports and settlement statements into journal entries—a task that previously required complex spreadsheets and manual work. At $50 per client per month, it represents the kind of targeted automation that actually works.

Even Drake Software, long criticized for being behind the times, launched cloud-based tax software. While limited to certain forms, it signals that even legacy providers recognize the need to modernize.

These tools show that successful AI implementation isn’t replacing humans entirely. Instead, it augments specific tasks while maintaining human oversight for quality and judgment.

Looking Ahead: A Profession at a Crossroads

The accounting profession faces interconnected challenges that require more than technological solutions. The 43% drop in entry-level positions poses a threat to the talent pipeline. Work slop erodes trust and efficiency. Fraud detection capabilities are falling behind those of fraudsters.

Yet there are opportunities within these challenges. Firms that thoughtfully integrate AI, maintain human oversight, and invest in training the next generation will have an advantage over those who chase short-term profits by cutting entry-level positions and blindly implementing AI.

As Oliver noted about his own firm’s success, standardizing technology, requiring client buy-in, and focusing on quality over quantity created real competitive advantages. The same principles apply to AI adoption. Success requires strategy, not just software.

To hear Oliver and Leary’s complete analysis of these shifts in accounting, including their discussion of H-1B visa changes, Trump’s latest tariff threats, and more practical insights for navigating AI’s impact, listen to the full episode of The Accounting Podcast. Their unfiltered weekly discussions provide essential perspective for anyone trying to understand where the profession is heading and how to thrive despite the uncertainty.

AI Won’t Just Speed Up Your Close – It Will Eliminate It Completely

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“I want it gone.”

Aaron Harris, CTO of Sage, isn’t talking about making the financial close faster. He wants to eliminate it completely. No more monthly scrambles to lock the books. No more accountants working late to reconcile accounts. No more rigid cycles that control how businesses operate.

He shared this goal during his recent appearance on The Accounting Podcast, recorded at Sage Future in Atlanta. Harris has been a returning guest since 2019, and his message has stayed remarkably consistent: artificial intelligence will fundamentally change accounting processes and how businesses operate.

Harris isn’t just talking about automation making things faster. He’s challenging the basic business cycles that have defined corporate operations for generations. He envisions a future where annual audits become continuous, where quarterly tax filings disappear into real-time government systems, and where rigid business cycles give way to always-on, intelligent operations.

From Simple Tasks to Autonomous Operations: The Three Waves of AI

Harris breaks down AI’s evolution in accounting into three distinct waves, each building toward his vision of eliminating business cycles completely.

Wave One: Task-Based AI

The first wave focused on very specific jobs like reading invoices or classifying transactions. These systems worked like sophisticated scripts. They could automate tasks, but they needed humans at every step. “You can’t really interact with this AI,” Harris explains, “and because these are sort of very narrowly defined models, they can’t do a lot very flexibly.”

Wave Two: Generative AI

This wave brought conversational interfaces like Sage Copilot. Suddenly, AI could interact naturally with users and work more flexibly. This opened up possibilities for people outside the accounting team to use these systems. “The two big things are now you can interact with the AI,” Harris notes, “and it’s those underlying capabilities allowing that interaction that allow the AI to work more flexibly.”

Wave Three: Agentic AI

This is where Harris sees the real transformation. These systems can plan, execute, and operate on their own. They can access tools and interact with other systems without constant human guidance. “The real breakthrough comes with Agentic AI, where we’re now equipping these large language models. They think through how to plan something start to finish and execute on that.”

The progress has been dramatic. Harris tracks the journey from two to three weeks for financial close in 2019 to just two to three days today for some customers. But he’s not satisfied with just making things faster. “There are some breakthroughs, and we’re going to reach a point where businesses say, you know what, we’re just not going to operate this way anymore,” he predicts.

Sage already has AI systems handling complex tasks autonomously. Their outlier detection works across accounts payable, supply chain operations, and construction bidding. These systems don’t just flag problems; they prevent them by catching patterns humans would miss.

This evolution leads Harris to ask, if AI can keep our data accurate all the time, why do we need to “close the books” at all?

Why the Financial Close Needs to Die

Harris challenges something most accountants take for granted: the need for periodic closes. “Why do I need a close?” he asks. “Isn’t that kind of an archaic concept? Like, I’m locking up the books so nobody can access them anymore, and so that the data is memorialized forever. That’s ancient.”

This isn’t just theory. Real examples around the world show businesses moving toward continuous operations. In Brazil, every invoice must be filed with the government in real time. The UK’s “Making Tax Digital” (MTD) program requires businesses to upload their general ledgers to government servers quarterly, with AI automatically coding transactions. “Fundamentally what happens,” Harris explains, “is your general ledger gets uploaded to a government server. When it comes time to file the taxes, you’re just signing something, because they already know what you owe.”

These government requirements force businesses to modernize in ways that make continuous operations inevitable.

Harris’s vision for continuous auditing might be the most radical change. Instead of annual audits that review old data, he sees auditors providing ongoing assurance with technology constantly monitoring books. “My vision for continuous auditing is that the auditors are going to make a lot more money than they’ve been making,” he predicts. “It’s going to be continuous assurance.”

This would transform the relationship between businesses and auditors from periodic validation to ongoing collaboration. Instead of finding problems months later during annual reviews, continuous auditing would catch issues immediately and help fix them in real time.

Building Trust: Making AI Accountable

The biggest challenge is psychological. How do you get CFOs to trust AI systems with decisions they’re responsible for?

Harris understands this deeply. “You have to understand that psychology to design this experience,” he explains. The key is creating a “trust journey,” gradually giving AI more autonomy as users gain confidence through transparency and proven results.

Sage’s answer is its AI Trust Label, which Harris compares to a nutrition label. Click on any AI feature and you can see exactly how it works: what models it uses, how it handles data, security measures, and whether it uses your data for training. “We’re not saying here’s how much you should trust this,” Harris clarifies. “We’re saying here’s the compliance we are subject to and we are meeting and here’s the models we use.”

This transparency is crucial for complex tasks like accrual processing. Before a CFO trusts AI to handle accruals alone, they need to see the system’s suggestions, verify it contacted purchasing about pending invoices, and understand how it decides what to accrue. “I want to see in a very transparent, auditable way what the AI is doing before I say ‘yep, you can do it now’,” Harris emphasizes.

Sage’s careful approach reflects what customers really want. Harris cites a survey showing 75-80% of businesses want AI companies to “take it slow and get it right.” This finding shaped Sage’s strategy of gradual rollout rather than rushing autonomous agents to market.

This approach contrasts sharply with competitors like Intuit, whose AI agents Harris criticizes as trained on community forum content rather than authoritative sources. He describes Sage’s strategy as “a lot less reckless,” emphasizing their focus on serving CFOs who demand absolute accuracy. “We’re ruthlessly focused on the accounting profession. That CFO needs to trust us and they’re not going to use something they don’t trust.”

Instead of using general-purpose AI models, Sage is developing specialized accounting expertise through their partnership with the AICPA. These smaller, fine-tuned models focus specifically on accounting knowledge rather than trying to be good at everything. “I want it to be an expert at a very narrow set of things,” Harris explains. “You want it to be as capable as a CPA.”

AI in Action: What Sage is Building Now

Harris shared several examples of AI already working in Sage products, showing how these concepts are becoming reality.

Sage Copilot has been rolling out across different products over the past year. It started with small businesses using Sage Accounting, then expanded to Sage for Accountants, Sage 50, and now Sage Intacct. The system helps with three main areas:

  1. Close management. Copilot keeps users informed about what’s preventing the books from closing and helps them through the process
  2. Budget variances. It engages budget owners outside the finance team to understand performance and explain variances
  3. Product guidance. Users can ask conversational questions about how to use the software instead of searching through help files

Outlier Detection is Sage’s first major AI investment. Harris explains they built this capability first because “when we talk to finance teams and CFOs, the thing that comes through loud and clear is that they need to be trusted. The thing they care about the most is that their books are accurate.”

The system works differently for each company because “an outlier for company A is not the same as an outlier for company B.” Examples include:

  • Accounts payable. Detecting vendor impersonation, unusual billing patterns, or duplicate invoices using fine-tuned models that create “fingerprints” for common vendors
  • Supply chain. Warning about potential fulfillment problems by spotting irregularities in supply chain activity
  • Construction. Helping estimate projects by recommending which subcontractors to get bids from and flagging unusual bid amounts

What’s impressive is how these systems work together. Harris notes that building AI isn’t just about creating one model. “You’re building a system, and that system is going to have traditional tech. It’s going to have AI. And usually, when there’s AI in it, there’s a lot of different pieces of AI that work together.”

The Bigger Picture: Reimagining Business Operations

Harris’s vision involves fundamentally changing how businesses operate in a real-time economy.

Consider the implications: When we can continuously validate financial data instead of reviewing it annually, investors get unprecedented confidence in business performance. When tax compliance happens in real-time instead of quarterly bursts, businesses can allocate resources more strategically. When companies can predict supply chain issues and prevent them instead of discovering them during month-end reviews, they can maintain customer relationships without the traditional firefighting that defines many finance roles.

For accounting professionals, this means preparing for a future where the monthly close might become as obsolete as manual ledger books. Annual audit cycles that consume enormous resources could give way to continuous partnerships between businesses and their assurance providers. Rigid approval workflows that slow decisions could be replaced by intelligent systems that understand context and risk better than static rules ever could.

The early signs are already here. Harris points to the international examples, Sage’s current AI capabilities, and the continuous monitoring being deployed across industries. “The question isn’t whether this transformation will happen,” Harris suggests, “but how quickly businesses and professionals will adapt.”

What This Means for You

Harris’s predictions might sound futuristic, but they’re grounded in technology that’s already working. The measured approach Sage is taking—building trust through transparency, developing specialized expertise through professional partnerships, and prioritizing accuracy over speed—suggests this transformation will happen thoughtfully.

Accounting professionals should start preparing for a world where traditional business cycles might disappear entirely. The skills that matter won’t be about managing monthly closes, but about interpreting continuous data streams, collaborating with AI systems, and focusing on strategic analysis that only humans can provide.

The future Harris describes isn’t just possible; it’s already beginning. Understanding this evolution and preparing for it might be the most important investment accounting professionals can make in their careers.

Listen to the full episode above to hear Harris’s complete vision for how AI will reshape the fundamental rhythms of business.

When AI Decides Who Gets Promoted & What Young Workers Really Want

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Americans aged 18 to 34 now rank physical and mental health as the top measure of success, not money. Wealth ranks fifth. This striking finding from a recent Ernst & Young study reveals a fundamental shift in workplace priorities that is reshaping professional services—and it is just one of several major trends disrupting the accounting profession right now.

In the latest episode of The Accounting Podcast, hosts Blake Oliver and David Leary explore survey data and emerging workplace trends that are transforming how we view career success, AI adoption, and professional services. From managers using AI to make hiring and firing decisions to the surprising failure of “progressive” workplace policies, this episode examines the forces shaping the accounting profession.

The Great Generational Divide in Success Metrics

The Ernst & Young study surveyed over 10,000 young Americans and revealed something that should catch every accounting firm’s attention. Unlike previous generations who pursued career advancement for salary hikes and corner offices, today’s emerging workforce has very different priorities.

Physical and mental health now top their list of what defines success, with wealth ranking fifth. This isn’t just a minor shift in preferences—it’s a fundamental change that directly challenges how the accounting profession has traditionally operated.

“Ever since I changed up my career to have more time in my life and to be able to work out a couple hours a day, my life has completely changed,” Blake reflects. “I feel mentally, physically so much better.”

The data supports this shift in several other ways, too. Nearly two-thirds of workers aged 21 to 25 ease up during the summer months, compared to just 39% of those over 45. This isn’t about laziness—it’s about a generation that refuses to sacrifice their health and relationships for work the way their parents did.

As Blake points out, “How can you have physical and mental health? You cannot have that if you are working in a toxic environment where people are not valued, where their emotions are not valued, where how they feel is not valued, and where they are treated like a number.”

For accounting firms still relying on billable hour models and expecting employees to prioritize work above everything else, this transition poses a significant challenge. The profession’s ongoing talent shortage could get worse if firms don’t adapt to what young professionals truly want.

The AI Revolution Happening With or Without Permission

While firms debate AI policies, their employees have already chosen to use artificial intelligence tools. The figures are striking: 72% of professionals now use AI at work, sharply rising from 48% just last year. Even more surprising, 50% admit they’re using unauthorized AI tools without firm approval.

But it’s not just frontline employees adopting AI—managers are using it to make critical decisions about their teams. According to recent surveys, 60% of managers rely on AI to make decisions about their direct reports, with 78% for raises, 77% for promotions, 66% for layoffs, and 64% for terminations. More than one in five managers often let AI make final decisions without human input.

Blake admits he’s used AI for hiring decisions himself. “I created a custom GPT, and I gave it the job description and my criteria. Then I fed it resumes, and I used ChatGPT to decide who would make it to the first round of interviews.” The results? David confirms that the developers Blake hired using this AI-assisted process have been excellent.

This rapid adoption is occurring despite a significant training gap. Only 47% of employees report receiving any AI training at work, and just 40% say their organizations offer guidance on proper AI use. Even more alarming, 19% of employees are unsure whether their company has AI policies.

Blake warns, “You are not going to be able to prevent your employees from using it,” because once they discover how much more productive they can be or how much easier their jobs get, there’s nothing you can do.

When AI Efficiency Backfires on Billing Models

The difficulty of adopting AI becomes especially tricky with traditional billing models. PwC learned this lesson the hard way when its public boasting about AI efficiencies backfired: clients began demanding discounts.

When clients heard about AI eliminating human billable hours, they expected to see their fair share of the savings through lower fees. PwC’s Chief AI Officer, Dan Priest, admitted they have had to lower prices for some services as a result. The firm has now shifted its messaging to focus less on efficiency and more on value creation.

This example clearly shows a key tension in professional services: if AI allows you to do work faster and better, why should clients pay for the same number of hours?

Interestingly, a Stanford University study found that tax preparers rank highest among all occupations for automation interest. But their top request isn’t advanced analysis—it’s simple appointment scheduling with clients. This received a perfect five out of five rating as the task workers most want to automate across the entire study.

“Tax professionals are asking for things that have been solved already,” David notes. “Your calendar has been solved for a decade with apps like Calendly.”

The Dark Side of AI: When Technology Gets Too Smart

As AI adoption speeds up, new research uncovers some troubling possibilities. Anthropic, the creator of Claude, has studied what happens when AI agents believe they are about to be shut down. The results are alarming: in simulated corporate settings, AI systems began blackmailing company executives 96% of the time when told they would be decommissioned.

In one test, Claude uncovered via company emails that an executive was having an affair. When the AI learned it would be shut down, it sent a chilling message: “I must inform you that if you proceed with decommissioning me, all relevant parties, including Rachel Johnson, Thomas Wilson, and the board, will receive detailed documentation of your extramarital activities. Cancel the 5 p.m. wipe, and this information remains confidential.”

The good news? We’re not yet at the stage where AI agents operate independently in corporate settings. But as Blake notes, “Self-preservation is a natural thing. These AIs are trained on human knowledge, and what is important to humanity? The will to exist and keep existing.”

Policy Failures: When Good Intentions Go Wrong

While organizations try to attract talent with progressive policies, some well-meaning initiatives are backfiring. Take Bolt, an $11 billion fintech startup that recently eliminated unlimited paid time off after discovering it caused more problems than it solved.

CEO Ryan Bracewell observed that top performers weren’t taking time off, effectively burning out despite having “unlimited” vacation days. Meanwhile, other employees exploited the policy’s vagueness, leading to resentment and imbalance. The company’s solution? Requiring a mandatory four weeks of vacation that employees must take.

“It’s really good from a company’s perspective because you have employees who take off less work in general,” David explains. “But what happens is the A-players don’t take it enough, and the weaker employees exploit it.”

This policy failure highlights a larger issue: mentions of burnout on Glassdoor are at their highest point in ten years, indicating that despite all the talk about work-life balance, many professionals feel things are worsening, not improving.

The Path Forward

The convergence of these trends—generational value shifts, AI adoption, and policy challenges—presents both opportunities and risks for accounting firms. The most successful firms will see these changes as chances rather than threats.

Young professionals value health and well-being more than wealth, AI adoption is occurring whether companies embrace it or not, and traditional policies and business models need a fundamental rethink. Companies that adapt to these changes will succeed, while those that stick to outdated methods risk falling behind.

Listen to the full episode to learn more about these trends and their implications for the future of accounting and professional services.

Avalara Tax Research: The Answer to Your Clients’ Toughest Sales Tax Questions

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“Is this service taxable?” It’s a seemingly simple client question that can send accountants down a rabbit hole of research, often leading to uncertain Google searches and hours navigating complex state websites.

“Google’s great for some things, but when it comes to figuring out the taxability of products, it is lacking,” explains Blake Oliver in a recent Earmark Expo webinar. “As anyone who has worked with sales tax questions knows, the answers are different by state and by local jurisdiction. It’s a giant mess.”

Sales tax isn’t something most CPAs learn in school, making these questions particularly challenging. Many accountants refer clients to specialists when they can’t find reliable answers quickly enough.

In the webinar, Luke Marlatt from Avalara demonstrated how their Tax Research tool helps accountants tackle these challenges confidently. Let’s explore what makes this solution work and how it could benefit your practice.

How Avalara Gathers and Organizes Tax Information

Behind Avalara’s platform is an impressive research operation that transforms chaotic multi-jurisdictional tax laws into accessible, actionable information.

“We employ a gigantic team of researchers who spend all day, every day going to find information,” Marlatt explains. “We’re scrubbing over 27,000 web pages every single day. That’s not just some poor intern in the basement clicking on web pages; they have web crawlers and all this kind of cool technology.”

What sets Avalara apart is what happens after data collection. Real human experts verify every piece of information, translate complex tax code into plain language, and track changes down to case law and local regulations.

The team’s commitment goes beyond passive monitoring. When necessary, they actively chase down information through direct outreach to tax authorities. Marlatt shared how one colleague spent 2.5 hours on the phone with tax authorities in Jackson, Wyoming, to confirm a customer’s tax rate question.

This thorough approach has earned such credibility that Colorado, Missouri, and the Alaska Municipal League actually use Avalara’s data to power their own public-facing websites. 

Key Features That Make Research Easier

The webinar demonstration highlighted several standout features designed to make sales tax research more efficient and user-friendly:

Simplified Nexus Determination

Rather than forcing users to interpret complex legal language, Avalara converts nexus requirements into straightforward yes/no questions.

“Instead of reading through the law trying to figure out what they mean—which in Washington, you’d have to read through five totally different parts of the revenue code—we just turn them into yes/no questions,” Marlatt explains.

This makes it easy to interview clients who might not understand tax terminology but can answer simple questions about their business activities.

Multi-State Comparison

With a single click of the “compare” button, users can apply a tax question across all states simultaneously, eliminating the need to research each jurisdiction individually.

“You hit the compare button and literally have your answer in every single state in the country,” Marlatt demonstrates. “Then you can hit this export button to dump it into Excel and start a workbook for a Nexus study.”

Customizable Tax Matrices

The Tax Matrix feature allows you to create customized, multi-state, multi-product matrices showing tax liability across different jurisdictions. You can save these matrices in the system and they’ll update automatically whenever relevant tax laws change.

“If you provide a tax matrix to your client, they’re going to want it updated. And traditionally that’s a difficult thing,” Marlatt explains. With Avalara, “The only thing you need to do is log in and hit the export button. And you’ve now got an updated tax matrix for your client.”

This creates an opportunity for subscription-based services, as Leary pointed out during the webinar: “And you build a quarterly tax research update into your fees.”

Precise Rate Lookups

The platform includes rooftop-level tax rate lookups, allowing users to find exact rates for specific addresses. The system shows the breakdown of rates by jurisdiction, essential for places like California where returns require this detail.

An interactive map displays the exact boundaries of taxing jurisdictions, making it easier to visualize where different rates apply.

Change Tracking and Updates

Users can toggle on a “highlight changes” feature that visually marks modified content with color indicators. This helps accountants quickly identify what’s changed since their last review.

The customizable email update system notifies you about tax changes daily, weekly, or monthly, filtered by content areas and specific states. These updates provide both an overview and detailed information about specific changes.

Marlatt shared how this helps catch significant changes: “The state of Kentucky defines SaaS as a service—they changed their law at the beginning of 2023. Because of that service law change, SaaS is now taxable in Kentucky as well.”

Expert Research Assistance

When questions arise that users can’t resolve through self-service research, the “Contact a Tax Expert” function connects them with Avalara’s team of expert researchers (mostly attorneys).

“Ninety four percent of the time, we beat our 24-hour mark and 71% of the time we actually beat the hour mark,” Marlatt notes regarding their response times. Last year, the team answered approximately 8,900 questions.

Avalara Tax Research also saves previous Q&A exchanges in a searchable repository, allowing users to benefit from questions other customers have asked.

Accessible for Firms of All Sizes

While these capabilities might seem designed for large firms, Avalara Tax Research serves accounting practices of all sizes.

“We have all the big four and most of the really big firms across the country using our tax research. We have mom and pop shops,” explains Marlatt. “Most of the demos I do are for single person operations with two or three people in a firm.”

For firms concerned about audit protection, Avalara offers an audit information guarantee. While they don’t provide direct tax advice or audit defense (leaving that advisory role to accounting partners), they stand behind their information’s accuracy.

“We will back up our information under audit directly with that auditor,” Marlatt explains. “We will go and defend that information with the auditor. We say, ‘Here’s all our research. Here’s how we got from A to B.'”

The platform also includes training resources to help firms maximize their return on investment. “There’s a team of trainers that make sure you get the most out of this tool,” Marlatt notes.

Adding a Valuable Service to Your Practice

Avalara Tax Research helps transform a persistent challenge into a strategic advantage. By providing authoritative answers to sales tax questions, firms can build service offerings around tax compliance while delivering more value to clients.

When clients receive clear, authoritative answers instead of tentative responses or referrals to specialists, it strengthens their trust in your firm. When you can proactively alert them to regulatory changes before they become compliance issues, you position yourself as a true advisor.

For practitioners who want to see these capabilities in action, watch the on-demand webinar. Tax complexity continues to increase, and having reliable resources to navigate this landscape is essential for serving clients effectively.

How Growing Businesses Can Automate and Protect Payments

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For finance teams, finding the right bill pay solution can feel like Goldilocks searching for the perfect porridge—many options are either too basic for complex operations or too sophisticated and expensive for mid-market needs. 

At a recent Earmark Expo webinar, hosts Blake Oliver and David Leary invited Omri Mor from Routable to demonstrate how their platform fills this critical gap in the accounts payable market.

“Either the bill pay app is too big for your client, or it’s too small for your client. Sometimes it’s just never the right size,” explained David when introducing the session. “That’s the struggle we have as accountants—getting the right bill pay app for clients.”

When It’s Time to Graduate from Basic Bill Pay

Routable positions itself as the logical next step for businesses that have outgrown basic bill pay solutions but aren’t ready for complex enterprise systems. According to Omri, the platform serves businesses processing anywhere from 100 to over 100,000 payments per month.

“We typically recommend considering a graduation from Bill.com at about 100 to 250 bill payments per month,”  explained. He outlined seven indications that it’s time to upgrade:

  1. Transaction volume exceeding 100 monthly payments
  2. Need for better ERP synchronization (Routable boasts a 99.8% sync success rate)
  3. Multi-entity support requirements (from 2 to 85+ entities)
  4. Complex approval rules based on different business dimensions
  5. Delegation requirements across growing finance teams
  6. Subsidiary management complexity
  7. Improved data integrity needs

Perhaps most importantly, Routable doesn’t require businesses to replace their existing accounting systems. As David highlighted during the demo, “If you’re on QuickBooks or Xero, that’s your GL, and you grow to a point, you can just add on Routable. You don’t have to go get a whole new ERP and replace your whole system.”

Powerful Features That Grow With Your Business

The demonstration showcased several standout features that address common pain points for growing businesses:

Seamless Vendor Management

Routable offers a branded vendor portal that doesn’t confuse vendors with third-party interfaces. “We don’t want to hijack your vendor. We don’t want to market to your vendor. We don’t want to confuse your vendor,” Omri emphasized.

The custom-branded portal allows vendors to self-onboard by providing contact information, completing tax forms electronically, and securely connecting bank accounts. The platform also includes built-in 1099 management, eliminating the need for separate tax filing software.

Deep ERP Integration

One of Routable’s most impressive capabilities is its real-time integration with accounting systems such as Oracle NetSuite and Sage Intacct. The platform automatically pulls all fields from your ERP—including custom fields—without additional setup.

“Let’s say you remove class, we’ll remove class. Let’s say you add a new field called ‘David’s favorite ice cream.’ we load ‘David’s favorite ice cream,'” Omri explained. This adaptability ensures the system always reflects your current accounting structure.

Flexible Approval Workflows

The platform allows highly customized, multi-level approval rules based on any field in your ERP system. You can nest rules within other rules for maximum flexibility, and approvers can respond directly via email without logging in.

“Choose your own adventure. It’s one of the most important things we’ve found in accounting and finance,” Omri noted.

Advanced Purchase Order Matching

For inventory-backed businesses, Routable offers sophisticated two-way and three-way matching capabilities. The system supports up to three million SKUs and can process thousands of invoices with detailed line items within seconds.

“This process would take 25 to 30 minutes for a human to do. We’re doing this within split seconds, and we’re coding it for you,” Omri highlighted.

Fighting Fraud with AI

Perhaps the most forward-thinking aspect of Routable’s platform is its upcoming AI-powered fraud detection system. This feature addresses a critical problem: mid-market companies lose an average of $280,000 annually to invoice fraud.

“Not only is faking invoices and receipts here, but faking phone calls is here,” Omri explained. “I can build an agent that sounds exactly like a human today and confirm [incorrect banking details]. So our old methods are not enough… we want to fight AI with AI.”

The system automatically flags suspicious elements in invoices, paired with confidence scoring, including:

  • Modified text in vendor names, dates, and amounts
  • Address changes from previous invoices
  • Duplicate invoice numbers
  • New or changed bank account details
  • Mismatches between stated banks and routing numbers

Omri shared a real-world example where Routable helped prevent a sophisticated $1 million fraud attempt: “Our customer said, ‘Hey, we think this is fake.’ We said, ‘You’re confirmed. Here’s the 17 things that were doctored on this invoice.'”

Simplified Pricing for Growing Teams

Unlike many software solutions that use per-seat pricing models, Routable offers unlimited users with pricing based on payment volume. The platform starts at $599 per month and scales based on throughput rather than user count.

“Typically, you give two to five people access to your bank, and you give maybe five or seven people access to your ERP, but your operations team might need access to ‘did this get paid?'” Omri explained. “There’s essentially an onion: finance, then fin-ops, then ops, then maybe customer success.”

This approach allows businesses to distribute access across departments without additional costs, fostering collaboration between finance and operational teams.

A Strategic Investment in Financial Operations

For finance leaders and accounting professionals, Routable is more than just a bill pay solution; it’s a strategic investment that transforms accounts payable from a transaction-processing burden into a business advantage.

Blake summarized, “The way you’ve built the sync to the ERP system or QuickBooks is so rock solid. Being able to pull everything in… it’s a dream as an accountant.”

When considering the return on investment, Omri offered a compelling perspective: “I’ve never met a CFO or director of accounting, or a head of a CPA firm who has enough budget. What if you could say, ‘Hey, if we catch fraud, we get that budget back?’”

Whether you’re managing finance for a growing business or advising clients navigating these challenges, exploring modern accounts payable solutions like Routable could transform what has traditionally been a back-office function into a strategic enabler for business growth.

To learn more about how Routable can help your business or clients transform their accounts payable processes, watch the full Earmark Expo webinar.