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

Earmark CPE

Earn CPE Anytime, Anywhere

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

Financial Reporting

QuickBooks Online’s Latest AI Update Could Save You Hours of Detective Work

Earmark Team · September 1, 2025 ·

Picture this: You’re reviewing a client’s profit and loss statement when travel expenses catch your eye. They’ve jumped 624% from last month. Is this legitimate business growth, a categorization error, or duplicate entries? Traditionally, this would mean hours of detective work, drilling into transaction details and cross-referencing receipts.

But what if an AI agent had already investigated this anomaly, traced it back to two identical $10,834 hotel charges, and presented you with a detailed report, complete with visual charts and actionable recommendations?

This feature is rolling out to QuickBooks Online users this summer.

In this episode of The Unofficial QuickBooks Accountants Podcast, Jim Dzundza, Staff Product Manager for the QuickBooks Accounting Automation team, explains how AI-powered error detection agents are transforming accounting workflows. But this isn’t about robots replacing bookkeepers. It’s about intelligent collaboration where AI handles time-consuming pattern recognition while accountants focus on analysis and client relationships.

From Program Manager to Product Developer

Dzundza’s journey at Intuit offers unique insight into how accountant feedback shapes product development. He started on the business development team working on desktop product partnerships, then moved to manage the ProAdvisor program for several years.

“Accountants have had a special spot in my heart,” Dzundza explains. “They are the key to us developing amazing products and amazing functionality.” His transition from the front-facing ProAdvisor program to backend product development wasn’t accidental; it was driven by impact.

“I felt like I could make a bigger impact by bringing this accountant perspective and finding a team within Intuit that really thinks about how accountants use and love the product,” he says. “And then focusing on where a lot of the pain is, to be honest. How can we help accountants reduce the pain of the work that they have to do?”

This accountant-first approach shows in every feature Dzundza shared on the podcast.

The AI Agent Revolution Begins

QuickBooks Online’s new platform introduces six specialized AI agents, each designed for specific accounting functions. The accounting, payments, and finance agents are currently available. Project management is in beta, while payroll and customer agents are coming soon.

The rollout timeline is aggressive but manageable. All new files created now automatically use the new platform. Starting in July, existing users can opt into the new experience. By September, everyone will see it, with the ability to opt out until the transition becomes mandatory at the end of September.

“We are daily reviewing feedback that is streaming in around all of the new UI, the new agents, everything coming out,” Dzundza emphasizes. “We’re implementing fixes and changes based on user feedback.”

This feedback period allows accountants to shape these tools rather than simply accepting what’s provided.

Eliminating Data Entry Frustrations

The accounting agent tackles three major workflow areas: getting transactions into the books, categorizing them, and reconciling accounts. Each advancement addresses real pain points accountants face daily.

PDF Statement Upload

For years, working with small banks meant manually keying transactions or using third-party tools like MoneyThumb. The new PDF statement upload feature completely changes this.

“You have the PDF and you go in to add that statement or upload those transactions in the same way you would upload a CSV today,” Dzundza explains. “And now you’re able to upload a PDF.” The AI extracts transactions directly from bank statement PDFs, eliminating the need for external conversion tools.

Enhanced Collaboration

Perhaps more revolutionary is the new collaboration feature available on Essentials and above. When you encounter a transaction needing clarification, you can ask questions directly within the bank feed and send clients a magic link via email or text.

“They can go on their phone and answer the question,” Dzundza notes. “They can answer it from wherever without having to log into QuickBooks.” Once clients respond, the AI automatically updates its categorization recommendations based on that context, creating a feedback loop that improves accuracy for future similar transactions.

This addresses a major frustration: forcing business owners to log into QuickBooks just to answer simple questions about transactions. It also gives accountants control over their books while still gathering necessary context.

Reconciliation Gets Smarter

The reconciliation process receives similar AI enhancements, with tools launching in mid-July. Like bank feeds, reconciliation now supports PDF extraction with a crucial enhancement: when the AI can’t extract everything accurately, it flags questionable areas for human review.

“Our goal for this one is 100% accuracy,” Dzundza explains. This hybrid approach, combining AI speed with human verification, ensures accuracy while eliminating manual data entry.

The new reconciliation interface organizes information into logical sections: cleared transactions that matched one-to-one, flagged one-to-many matches requiring review, and AI recommendations for transactions that should potentially be excluded or unposted.

This addresses common reconciliation headaches like duplicate detection. As Dzundza discussed with host Alicia Katz Pollock, it’s easy to upload a receipt and then also accept the same transaction from the bank feed without noticing the duplication. The AI now surfaces these duplicates automatically, eliminating manual scanning for errors.

The Anomaly Detection Game-Changer

The most sophisticated feature is the accounting agent’s anomaly detection, which transforms financial statement review from manual line-by-line scanning to intelligent pattern analysis.

How It Works

The system analyzes 13 months of historical data, comparing the most recent complete month against established patterns to identify accounts that deviate significantly from normal behavior. But it’s smarter than simple variance detection. It considers each account’s historical volatility. Accounts with consistent monthly variation won’t trigger alerts for normal fluctuations, while stable accounts get flagged for even modest deviations.

“It looks over the past 13 months, and then it looks at the most recent complete month,” Dzundza explains. “And it will tell you if this month’s total seems off on either the balance sheet or P&L.”

Professional-Quality Investigation

When the system detects anomalies, the AI conducts detailed investigations using what Dzundza describes as “customized prompts we designed in partnership with accountants.” These prompts guide the AI to analyze transaction patterns, identify common characteristics, and surface potential root causes.

Travel expenses are a perfect example of this capability. When the AI flagged a 624% increase in travel expenses, it didn’t just note the variance; it traced the increase to two identical $10,834 hotel charges from the same vendor, immediately raising the question of whether these were duplicates or legitimate separate transactions.

Seamless Integration

The feature integrates directly into standard financial statements through subtle blue sparkles next to affected line items. Clicking a sparkle opens a detailed analysis directly in context, allowing investigation without leaving the familiar report format. The sparkles don’t print when you export reports, maintaining clean client deliverables while providing powerful review capabilities.

Actionable Reporting

The AI generates professional-quality PDF reports that serve as both investigation summaries and work papers. These reports include visual charts showing the anomaly, detailed root cause analysis, supporting data points with reference numbers for easy transaction lookup, and comprehensive narrative explanations of findings.

As Katz Pollock notes, “this is something I would be very happy to just send to my client.”

The Partnership Model That Works

These AI updates aren’t about replacing accountants, but about elevating their work.

“It’s not about replacing jobs or anything like that,” Dzundza emphasizes. “It’s really focused on creating tools that make people more efficient in getting their work done.”

As Katz Pollock summarizes, “this is in no way taking your job. All this is doing is calling your attention to things that it’s noticed in a way that you would not have access to just by looking.” The technology provides pattern recognition and initial investigation, but professional judgment about significance, cause, and appropriate action remains firmly in human hands.

Your Voice in the Development Process

Dzundza stresses that development teams are reviewing user feedback daily and implementing changes based on that input.

This gives accounting professionals a unique opportunity to actively shape these tools. The key is providing constructive, actionable feedback with specific details rather than general complaints.

The Future of Accounting Practice

Technical proficiency with AI tools is becoming as important as traditional accounting skills. Accountants who embrace this partnership will find themselves elevated from data processors to strategic advisors, spending less time hunting for errors and more time interpreting their significance for clients.

The collaboration model redefines what it means to be an accounting professional in an AI-enhanced world. The accountants who thrive will be those who view AI as a powerful research assistant rather than a threat, focusing their expertise on the strategic analysis and client relationships that technology cannot replace.

As these AI agents roll out over the coming months, you have the opportunity to be part of shaping the future of accounting practice. Listen to the full episode to hear Dzundza’s complete demonstration of these features, understand the implementation timeline, and learn how to provide constructive feedback that will help refine these tools for maximum benefit to accounting professionals.

The future of accounting is being written now. Make sure your voice is part of that conversation.


Alicia Katz Pollock’s Royalwise OWLS (On-Demand Web-based Learning Solutions) is the industry’s premier portal for top-notch QuickBooks Online training with CPE for accounting firms, bookkeepers, and small business owners. Visit Royalwise OWLS, where learning QBO is a HOOT!

Why Historical Cost Accounting Is Broken (And What Could Fix It)

Blake Oliver · August 13, 2025 ·

When Daniel Day-Lewis strikes oil in “There Will Be Blood,” that’s the moment his character becomes wealthy—not years later when the oil is extracted and sold. Yet accounting treats this wealth-creating discovery as if it never happened, recognizing zero value until decades of extraction begin.

This disconnect between economic reality and financial reporting isn’t just a Hollywood illustration—it’s emblematic of a fundamental flaw plaguing our entire theory of accounting. In this episode of the Earmark Podcast, I spoke with Thomas Selling, author of The Accounting Onion blog and former SEC regulatory expert, about how financial reporting systematically fails to capture when and how businesses actually create value.

Thomas argues that the fundamental problem with modern accounting isn’t complexity or compliance—it’s a structural flaw rooted in historical cost accounting. This creates massive timing disconnects between when businesses create economic value and when financial statements recognize it, forcing successful companies to appear unprofitable during critical growth phases while handing management dangerous tools to manipulate earnings at shareholders’ expense.

Our wide-ranging discussion explored how these timing problems plague industries from oil and gas to pharmaceuticals to software subscriptions, why historical cost accounting enables manipulation through what Thomas calls accounting’s “truth in labeling problem,” and what radical alternatives could create more honest financial reporting that actually serves investors.

The Historical Cost Problem: When Transactions Trump Assets

Historical cost accounting sits at the foundation of our financial reporting system, but Thomas says it’s built on a fundamental misconception. “Historical cost is not actually an attribute of an asset,” he explained, “but rather an attribute of the transaction that acquired the asset.” This distinction might sound technical, but it creates the framework for timing disconnects and manipulation opportunities plaguing modern accounting daily.

Think about it this way: if you bought a house ten years ago, you don’t think about the purchase price as describing the house itself. You consider what it would cost to replace the house if you moved, or how much you could sell it for today. Yet accounting theory stubbornly clings to that decade-old transaction price as if it tells us something meaningful about the current asset.

As Walter Schuetze, former SEC Chief Accountant whom Thomas worked under, famously put it: “We report a truck as if the cost of the truck is the asset as opposed to the truck itself.” This creates what Thomas calls a “truth in labeling problem”—we claim to provide relevant information about assets while actually providing information about historical transactions that may have occurred years or decades ago.

The manipulation opportunities this creates are staggering. Historical cost enables what Thomas calls “cherry picking”—companies can sell assets that will show the most gain in any given period simply because the carrying amount bears no relationship to current reality. This isn’t theoretical—it’s exactly what brought down Enron.

The energy giant had power plants that were performing well but had been fully depreciated on the books. When Enron needed to boost its numbers, it created fictitious entities with essentially fictitious investors and “sold” those power plants to them. Enron recorded massive gains while hiding enormous debt levels in special purpose entities. “They were able to convince the auditors that these were genuine sales,” Thomas explained. “But, in fact, what happened is that these assets came back to Enron along with the debt, and they couldn’t handle the level of debt they had.”

Even the complex impairment rules that fill thousands of pages of GAAP exist solely because historical cost creates such distortive measurements. Under current rules, an asset worth $1 million in historical cost isn’t considered impaired if expected future cash flows are $1,000,001—even if that cash flow won’t arrive for five years and ignores the time value of money entirely. But drop those expected cash flows by just $2 to $999,999, and suddenly you have an impairment loss of hundreds of thousands of dollars when you discount that future cash flow to present value.

These systematic flaws give management what Thomas describes as tools to manipulate earnings while creating financial statements that often bear little resemblance to economic reality.

The Great Timing Disconnect: When Value Creation and Recognition Don’t Match

The most dramatic evidence of accounting’s structural flaws emerges when examining industries where value creation and revenue recognition are separated by years or decades.

Consider the extractive industries, which represent a massive portion of global economic activity through oil, gas, metals, and minerals. Thomas estimates that roughly 80% of an oil and gas company’s value creation occurs at a single moment: when they discover reserves. “The value-creating event is the discovery of reserves,” he explained, pointing to how stock prices immediately jump when companies file 8-K forms announcing new discoveries.

Yet GAAP treats this wealth-creating discovery as a complete non-event. “When does GAAP recognize the first penny of those earnings?” Thomas asked. The answer floored me: somewhere between 5 and 50 years later, when the last drop finally comes out of the ground. “It’s going to take five years to develop it. You turn the spigot on, the last drop is going to come out 50 years from now.”

This timing problem isn’t limited to extractive industries. Pharmaceuticals face identical challenges where the value-creating event is drug discovery, but revenue recognition occurs years later after development, testing, and approval. “The value-creating event is the discovery of a new drug,” Thomas noted. “Think of how many years go by before you get the first dollar of revenue.”

But perhaps nowhere is this disconnect more visible than in subscription businesses, where my firsthand experience reveals the absurdity of current accounting rules. In software-as-a-service companies, the moment of value creation is customer acquisition. These businesses can reliably estimate customer lifetime value through proven metrics like churn rates, average contract prices, and customer lifespan data.

“Every customer that you bring on has a lifetime value of X dollars,” I explained to Thomas. “When I sign up that customer, economically what is happening is I am basically adding those future cash flows to my business.” Yet these economically real and measurable future cash flows never appear on the balance sheet. Meanwhile, 100% of the marketing and sales expenses to acquire that customer hit the income statement immediately.

This creates what I see as a violation of basic accounting principles, though Thomas clarified that under current FASB thinking, “the matching principle no longer exists.” What remains is conservatism—recognizing expenses immediately while deferring revenue recognition. This makes successful subscription businesses appear horribly unprofitable during growth phases, exactly what happened with Amazon while building its enormously valuable Prime subscriber base.

These timing disconnects don’t just confuse investors—they actively distort capital allocation decisions across the entire economy, making some of the most valuable business models appear fundamentally unprofitable during their most crucial growth phases.

Beyond Earnings: A Balance Sheet Revolution

The solution to accounting’s structural problems isn’t trying to fix earnings measurement—it’s abandoning the obsession with earnings entirely. Thomas argues there’s no universal “right number for earnings,” and accounting should instead focus on what the FASB has correctly identified as its real purpose.

“The FASB concluded for good reason, that they should be in the business of measuring assets and liabilities and that reported… earnings… is a function of changes in assets and liabilities, not the other way around,” Thomas explained. Instead of chasing some mythical perfect earnings number, financial reporting should provide accurate, detailed information about what companies actually own and owe.

Thomas proposed four specific alternatives to historical cost measurement. Fair value measures what you could sell an asset for today—we’ve already seen this implemented for crypto assets. Replacement cost measures what it would cost to acquire equivalent assets today. Net present value calculates the present value of future cash flows for assets where those flows can be estimated.

But Thomas’s preferred approach is “deprival value”—a hybrid that measures how much utility a company would lose if deprived of an asset. “If somebody took your house from you, the deprival value would be the replacement cost, because you would have to replace it,” he explained. For outdated inventory you weren’t planning to replace, the deprival value would be whatever you could sell it for.

The estimation challenge is real—moving away from historical cost requires more judgments about current values. But as Thomas pointed out, our current system already relies heavily on estimates, just bad ones embedded in a perverse structure. “It’s like asking students to grade their own papers,” he said, describing how management makes the estimates that determine their own performance, while auditors can only reject obviously unreasonable numbers.

This explains why companies fight basic transparency measures. Thomas pointed to decades-long battles over requiring direct method cash flow statements showing actual cash receipts from customers and payments to vendors. “Management fights tooth and nail a requirement to have a statement of cash flows using the direct method,” he noted, because transparency doesn’t serve their interests.

Thomas’s vision is radical in its simplicity: replace 8,000 pages of complex GAAP with perhaps 200 pages of clear principles focused on measuring assets and liabilities in relevant ways. This would “supercharge” investors with detailed information about how asset values change over time, allowing users to construct whatever performance measures they find most relevant rather than accepting GAAP’s one-size-fits-all approach.

The Path Forward: From Accounting Theater to Economic Reality

My conversation with Thomas Selling revealed a profession at a crossroads, driven by what he describes as his “rage at how managers use accounting to steal from shareholders.” Current accounting systems don’t just have technical problems—they have fundamental structural flaws that actively distort economic reality and enable systematic manipulation.

When successful subscription businesses appear unprofitable during growth phases, when oil discoveries worth billions show as non-events on financial statements, and when management can game impairment rules with surgical precision, we’re witnessing what amounts to accounting theater rather than meaningful financial reporting.

The implications extend far beyond financial statements. These measurement failures affect capital allocation across the entire economy, from inefficient mergers driven by goodwill accounting quirks to investors systematically misunderstanding some of the most important business models of our time.

The rise of subscription models, platform businesses, and intangible asset-heavy companies has exposed historical cost accounting as increasingly obsolete for capturing how modern businesses create value.

The solution isn’t tweaking existing rules or adding more complexity to an already bloated system. It requires the kind of fundamental reformation Thomas advocates—what he’s calling “an accounting reformation” in his upcoming book. As he puts it, “Once managers can no longer manipulate income, they’ll have no economic reason to base their performance on earnings.”

This accounting reformation won’t be easy, given the entrenched interests that benefit from current opacity. But it represents a future where financial statements finally serve their intended purpose of informing capital allocation rather than obscuring it.

To hear Thomas’s detailed vision for this accounting reformation and his passionate case for why these changes are urgently needed, listen to the full episode of the Earmark Podcast.

The Future of Financial Reporting Is Already Here – And It’s Automated

Blake Oliver · January 27, 2025 ·

If you’re like most accountants, you spend countless hours updating spreadsheets, reconciling data between systems, and generating financial statements. Month-end close often involves manual data entry, copying and pasting, and time-consuming validation checks. However, recent advancements in automation tools mean those days may be numbered.

During a recent Earmark Expo webinar, G-Accon showcased how its Google Sheets add-on integrates seamlessly with cloud accounting platforms like QuickBooks Online, Xero, FreshBooks, and Sage. The demo highlighted a new era of accounting workflows—one in which real-time synchronization, automated data processing, and detailed reporting can dramatically reduce manual effort and give accountants more time for higher-value advisory work.

Below are the biggest insights from the live demonstration—and how they could reshape your month-end process.

Automated Reporting & Dynamic Templates

One of the standout features is how G-Accon handles financial reporting without storing any data on its own servers. Each time you refresh a report, G-Accon reaches directly into your accounting platform to pull in current numbers. By relying on live data, accountants always see the most up-to-date figures.

But the real magic lies in the template-based system. Rather than manually reconfiguring date ranges or reapplying custom formulas each time, you can define a structure once and let G-Accon handle the rest. Need to show net profit margin or custom KPIs on the P&L? No problem. Create the formula once, and it stays anchored even when new rows (like newly created accounts) appear.

“You don’t have to open each and every template,” explained G-Accon Chief Operating Officer Yelena Tretyakova. “You come here, change your formula in one place, and it updates everywhere.”

This means you can manage multiple sets of financial statements—like P&Ls, balance sheets, and cash flow statements—in a fraction of the time. Dynamic date ranges, color-coded negatives, and company logos can be baked right into your templates, giving clients professional-looking reports with zero repetitive effort.

Bulk Data Upload & Validation

Another common pain point is manual transaction entry. Whether you’re reclassifying expenses, correcting chart-of-accounts mappings, or posting large journal entries, uploading changes line by line is error-prone and labor-intensive.

G-Accon tackles this by allowing bulk uploads from Google Sheets to be directly uploaded to QuickBooks or other platforms. With one click, you can push thousands of lines—bills, invoices, journal entries, time activities—while G-Accon enforces validation rules. If the system detects an unbalanced journal entry, for instance, it flags the row and prevents erroneous data from ever reaching your GL.

You can also automate modifications in bulk. For example, if multiple transactions need a new class or department code, simply download them to a sheet, change the class code, and push them back. Each row’s status is tracked in real-time so you can see exactly which transactions were posted successfully.

“If you have errors because your debits and credits don’t balance, you’ll see that directly from QuickBooks,” Yelena noted. “You can go back, fix the row, and re-upload.”

Multi-Entity Consolidation & Intercompany Eliminations

For firms managing multiple clients—or businesses with multiple subsidiaries—the ability to consolidate is critical. G-Accon supports multi-entity consolidation by pulling data from all connected organizations, unifying it in Google Sheets, and even converting foreign currency amounts where needed.

Crucially, it also supports intercompany eliminations and grouping of accounts. If entities use different account names or numbering conventions, G-Accon lets you create elimination rules and group accounts under a shared heading (e.g., “Operating Expenses”). You can then generate consolidated P&Ls, balance sheets, and cash flow statements that neatly combine or exclude specific line items across multiple organizations.

“If you create new account codes in your chart of accounts, G-Accon picks that up automatically,” Yelena explained. “For multi-entity consolidation, you can map or group different accounts and then eliminate intercompany transactions.”

This streamlined approach removes a huge source of manual reconciliation and ensures you always have an accurate, real-time view of your organization as a whole.

Pre-Built KPI Dashboards

G-Accon also comes bundled with a set of pre-built KPI dashboards. With just a few clicks, you can stand up a visual snapshot of a company’s financial health, showing revenue, expenses, margins, and more. The underlying data is continuously refreshed from QuickBooks or other accounting systems, so these dashboards always display the latest numbers.

Best of all, these templates are fully customizable. You can add or edit charts, incorporate industry-specific metrics, or layer in additional Google Sheets formulas. Because everything lives in Sheets, you have the flexibility to adapt each dashboard to perfectly match client needs.

Workflow Automation & Detailed Logs

While automated reporting and bulk data uploads are huge time-savers, the workflow automation component ties it all together:

  • Scheduling: Set daily or hourly refresh intervals for reports.
  • Alerts: Configure custom triggers (e.g., email stakeholders if monthly expenses surpass $10,000).
  • Report Distribution: Automatically email dashboards or PDF statements to management or clients.
  • Backups: Generate snapshot backups of your Google Sheets file to preserve historical data.
  • Webhooks: If you want to connect with other applications or processes, G-Accon supports inbound/outbound hooks.

What’s more, G-Accon provides a detailed operations log showing every automated action taken. This means you can skip the frantic spreadsheet checks—simply look for “Success” or “Error” in the log to verify your tasks completed correctly.

“If you have 200 different reports, you’re not going to check each tab,” said Yelena. “You come here and see all actions in the log file.”

Real-World Use Cases & Pricing

Accountants use G-Accon for a wide variety of tasks, from month-end close to budgeting and forecasting. Franchise owners leverage multi-entity consolidation to handle dozens of stores; nonprofits integrate with QuickBooks to create advanced dashboards for board members; and businesses that run large volumes of transactions can bulk upload journal entries for year-end cleanups.

All features are included at every plan level. Pricing scales based on how many companies (entities) and users you need, so smaller firms can start affordably and expand without losing any functionality as they grow.

Move Beyond Manual Processes

Interested in exploring these automation capabilities further? Watch the entire Earmark Expo for a deep dive into G-Accon. You’ll see how easily you can move past traditional spreadsheet drudgery and deliver truly value-added advisory services to your clients.

Copyright © 2025 Earmark Inc. ・Log in

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