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Accounting Automation

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.

Why Accountants Are Both Thrilled and Terrified by QuickBooks’ Latest AI Push

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How much should we trust AI with our critical financial processes?

In a recent episode of The Unofficial QuickBooks Accountants Podcast, hosts Alicia Katz Pollock and Matthew “Spot” Fulton break down the August 2025 “In the Know” webinar from Intuit, where AI agents take center stage alongside major Enterprise Suite enhancements and ProAdvisor Academy improvements.

From payment collection to payroll processing, QuickBooks is pushing automation further than ever before. But as Fulton and Katz Pollock discuss, the technology that saves you hours today needs careful oversight to avoid compliance nightmares tomorrow.

ProAdvisor Academy Gets Smarter

Before diving into the AI updates, the hosts highlighted some welcome improvements to ProAdvisor Academy. You can now filter courses by length and CPE credit amount—perfect for those moments when you think, “I have an hour, what can I learn right now?”

Even better, the system finally saves your CPE certificates in the “My History” section. As Katz Pollock notes, “They used to email them to you and you had to save them, and that was it. So the fact that you can actually now track your CPE is pretty darn awesome.”

Intuit is also launching a new quarterly series called Solution Spotlight, where support experts will tackle complex challenges and deep-dive into underutilized tools. The first topic? Bank transactions and reconciliation—the community’s most requested subject.

Enterprise Suite: The Multi-Entity Game Changer

Fulton and Katz Pollock spent considerable time discussing Enterprise Suite’s powerful consolidation features, and for good reason. These updates address long-standing issues that have plagued multi-entity businesses for years.

The Shared Chart of Accounts feature uses AI to standardize accounting across all your entities. As Fulton explains it, “You choose which chart of accounts you want to be your primary one, and then you can use the AI to say, okay, we think these accounts are going to match up with those accounts. You still have the ability to review and say, yep, you got this right.”

The time savings are massive. Fulton speaks from experience, “As an accountant, the time and energy it takes to try to normalize a chart of accounts is extensive. There’s a lot of thought and knowledge and wisdom that goes into it.”

Multi-entity transactions are even more impressive. When you invoice another entity in your organization, the system automatically creates the corresponding bill in that entity, complete with a PDF attachment. Fulton recalls the old way: “You would pull up two browsers, you’d have both companies up, and you look at the intercompany exchanges between one company and the other, and you go line by line to make sure both sides are there.”

But Katz Pollock raises an important point about accessibility. She has clients with multiple small entities—”literally QuickBooks Ledger or Simple Start”—who desperately need these consolidation features but can’t justify Enterprise Suite’s price tag. Her suggestion? “I think they should make an Enterprise Lite version focused solely on multi-company functions.

The Payments Agent: Getting You Paid Faster (and Smarter)

The Payments agent analyzes customer behavior to optimize your collection strategy. When you create an invoice, it shows you how long they’ve been a customer, their payment history, open invoices, and average payment time.

But here’s where it gets interesting. The agent suggests payment methods based on what will get you paid fastest. It even calculates total time to receive funds, including your customer’s typical delay. When Katz Pollock saw “ACH 14 days” in the demo, she clarified, “It wasn’t that ACH takes 14 days to clear. It’s that the customer takes on average nine days to pay, and then you have the three to five days it takes to clear.”

Fulton cuts to why this matters, “As business owners, all too often we rely on small margins to where we are super sensitive to cash flow. If it’s going to take somebody longer to pay, we need to know that.”

The system can also parse invoices from text, images, or PDFs, though Katz Pollock admits it “doesn’t do the line items yet. But you know, it’s just the infancy of the technology.”

One limitation bothers Katz Pollock: Reminder settings apply to all customers universally. “I have placeholder invoices or agreements with customers where it’s okay that they’re not going to pay for another 90 days,” she explains. Her workaround? Adjust due dates to match actual payment expectations.

The Payroll Agent: Convenience Meets Controversy

The Payroll agent’s text-message time collection generated the most heated discussion. Employees receive texts asking for hours, overtime, and tips. They respond with simple messages, and the system compiles everything for manager approval.

Sounds great, right? Not so fast.

“If they’re not keeping a time card, you know they’re going to overestimate how much they actually worked,” Katz Pollock warns. Fulton agrees, “How many employees are always completely honest with their hours and their overtime and their tips?”

The system is heavily restricted during beta. It’s only for US customers who don’t use auto payroll or QuickBooks Time, have one pay schedule, and use basic pay types. Fulton sees wisdom here, “Let’s make sure this is working before we give it to all the crazies out there.”

Still, there are safeguards. The system flags anomalies, requires manager approval, creates audit logs, and needs employee consent for each payroll period. Fulton even sees potential for construction companies where daily time certification is required. “They’re having to certify by responding back to this the amount of time they worked.”

Katz Pollock’s verdict? “The technology is going to be great. It’s the humans that you can’t trust in this particular issue.”

Customer Leads: Your Email Becomes Your CRM

Currently in Gmail-only beta (Outlook coming soon), the Customer Leads agent scans your email for customer interactions and organizes them into a sales pipeline: inquiry, negotiation, finalization, contracted, or lost.

Fulton’s excited about consolidation. “I’ve been using 17 Hats, but the challenge I’ve always had is the integration piece. I can handle all this stuff up to the estimate and invoice somebody, but it’s always been external.”

Katz Pollock uses Method CRM currently and sees the appeal, “This will be really nice to be able to just keep it right inside QBO and not have to go to another app.”

The hosts admit they’re still learning this feature, and Katz Pollock has a future episode planned to dive deeper.

More Updates Worth Your Attention

A few other updates the hosts are looking forward to include:

Scheduled Compensation Changes

This might be the sleeper hit of the updates. You can now pre-program raises and bonuses with effective dates. As Fulton exclaims, “This is sunlight shining down onto us so we can take a vacation at the end of the year, too!”

Katz Pollock shares a perfect use case: “I had a client whose employee broke their field service iPad and was reimbursing them out of their payroll, $150 per month for six months.” With scheduling, that deduction would automatically end on the right date.

Sales Tax Automation Expands

QuickBooks now handles sales tax filing for Iowa, Minnesota, North Carolina, Rhode Island, Vermont, and West Virginia at $40 per filing. While the hosts debated the price, Fulton notes it’s actually market rate compared to services like Avalara.

Looking Ahead

The hosts emphasized community feedback throughout the episode. As Fulton puts it: “Are you using Enterprise yet? If you are, what features are you loving? If you aren’t, what features are most enticing?”

They’ve even started a LinkedIn group for the podcast where listeners can discuss episodes and share experiences.

Katz Pollock is launching her “Great QBO Refresh” training series in September, completely rebuilding her curriculum to address all the interface changes. 

Don’t miss Intuit Connect (October 27-29 in Las Vegas) or Reframe Conference (November in Florida), which Fulton calls “by far, hands down, the best conference I’ve been to in years.”

The Bottom Line

These AI agents aren’t replacing accounting professionals; they’re redefining the role. The firms that thrive will leverage AI for efficiency while maintaining the human judgment that ensures accuracy, compliance, and client trust.

As Katz Pollock wisely advises about the payroll agent’s rollout, “Intuit, go slow on this one. We want to actually see use cases before it becomes universal.”

The future of accounting isn’t human versus machine. It’s human with machine, each doing what they do best. Ready to dive deeper? Listen to the full episode above and join the conversation in the Unofficial QuickBooks Accountants Podcast LinkedIn group.

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 Most Accounting AI Will Hit an Auditability Wall

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Every day, another AI agent promises to revolutionize accounting. But there’s a fundamental problem most tech companies don’t understand: AI accounting will hit what FloQast CEO Mike Whitmire calls “the auditability wall.”

While Silicon Valley churns out press releases about AI agents that can handle complex accounting tasks, a reality check awaits. In this episode of the Earmark Podcast, host Blake Oliver sits down with Mike Whitmire, founder and CEO of FloQast, to explore why accounting AI is fundamentally different from AI in other business functions. Rather than getting swept up in the AI marketing frenzy, FloQast stepped back to solve the core problem: how to harness AI’s power while maintaining complete audit trails and human oversight.

As Whitmire warns, “A series of companies will come out with AI agents that can do a lot of this work fairly accurately. Then they hit this auditability wall, and it creates a big problem for companies trying to scale.”

The Auditability Problem That’s Breaking Accounting AI

Unlike other business functions where AI mistakes can be shrugged off, accounting operates under rules most tech companies don’t understand. When a sales AI messes up a lead, the stakes are minimal. But in accounting, every transaction must be traceable, every decision documented, and every process capable of withstanding regulatory scrutiny.

This creates a fundamental conflict between how most AI systems work and what accounting requires. “AI is really about automating work, and agents are doing non-deterministic work,” Whitmire explains. “So that becomes a little scary when you’re thinking about auditability.” Most AI systems function as “black boxes.” They can produce results, but they can’t explain their decision-making process in the detailed, step-by-step manner that auditors and regulators demand.

The problem is about to hit the industry hard. When AI systems can’t provide proper documentation and audit trails, auditors are forced to recreate all the work, defeating the entire purpose of automation.

Rather than getting swept up in the AI marketing that dominates press releases from major ERP vendors, FloQast took a different approach. “We tried to avoid the noise and think about how AI should be applied to accounting,” Whitmire says. They started with their experience as former auditors and accountants, asking: How do you combine AI automation with traditional software code and human oversight to create something that actually works?

The answer required rethinking the entire approach to accounting AI, leading to a solution that preserves audit trails and human oversight while still delivering efficiency gains.

FloQast Transform: Building AI Auditors Can Actually Trust

Rather than chase the latest AI trends, FloQast built something different: an AI system that auditors can actually work with. The FloQast Transform product harnesses AI’s power while maintaining the audit trails financial reporting demands.

The approach is simple: let accountants describe their processes in plain English, then use that narrative to generate automated scripts and complete audit documentation. “You build your agents,” Whitmire explains. “You chat with the product and explain your process in pretty extreme detail.”

As accountants describe their workflow step by step, the system populates what looks like a familiar Excel workbook. “This Excel workbook will ultimately be the audit evidence,” Whitmire notes. This isn’t just a user interface choice. It’s a deliberate design decision to ensure every AI-driven process produces the documentation auditors expect to see.

Take FloQast’s benefit allocation journal entry example. The process starts with integrating with UKG Payroll to pull down employee data. The accountant describes each step: “integrate with UKG,” then “pull down information around names, dollar amounts, state,” then “populate column A with this, populate column B with this, and bold and make the header gray because that’s the format I like.”

The system combines different types of automation. For routine tasks, it generates deterministic code that produces consistent results every time. But when the AI encounters something new, like when FloQast hired its first Kentucky employee, it doesn’t guess. Instead, “it surfaces the question to the reviewer of that work,” Whitmire explains. The accountant can approve the change, and going forward, Kentucky will be handled properly.

This approach changes the accountant’s role. Instead of being the preparer who manually processes transactions, they become the reviewer who oversees AI agents and approves exceptions. “Our goal is to empower accountants to automate the really repetitive, rote part of this job. Elevate them into the reviewer of the more complicated work that the agent’s now doing,” Whitmire says.

The system preserves every prompt sent to the AI, every output generated, and every decision made. When auditors come knocking, they can trace exactly how each transaction was processed and where humans intervened. It’s the kind of comprehensive audit trail that makes regulatory compliance possible while still delivering efficiency gains.

Beyond transaction processing, FloQast applies AI to other areas like variance analysis. When account balances trigger materiality thresholds, the system analyzes the biggest transactions causing the change and drafts explanations. “It’s like balance went up because of boom, boom, boom, boom, boom,” Whitmire says. “It’s not these wonderful essays on how things change. It’s like a list of transactions.”

The Future of Accounting: Cyborgs, Not Replacements

The auditability challenge yields a surprising conclusion: rather than replacing accountants, AI will transform their role in ways that could solve the profession’s biggest problems. But this transformation requires rethinking what it means to be an accountant.

Whitmire envisions accountants becoming “accounting transformation information managers,” professionals who combine accounting knowledge with software engineering capabilities. “It will be much more like the merging of an accountant with a software engineer,” he explains. “So you have the accounting knowledge, supplemented by software engineering tools like FloQast, where they can take their accounting knowledge, use our product, and automate their work.”

This isn’t just about learning new software. It’s about fundamentally changing the structure of accounting work. Instead of spending hours manually processing transactions, accountants would deploy AI agents to handle routine work so they can focus on reviewing exceptions, making judgment calls, and ensuring compliance.

The career implications depend on where you are professionally. For younger professionals, Whitmire recommends “Get really good at technology, learn these tools as they come out, and continue to learn about accounting. You’re going to be a very, very valuable employee going forward.” For experienced professionals, “You need to be really great at reviewing the work. Continue to be really great leaders, and run great organizations.”

This evolution could address the profession’s talent shortage. By making accountants more productive and the work more intellectually engaging, AI could help attract and retain talent. “My hope is that it does a really good job of plugging the talent gap we talk about so much,” Whitmire notes.

But there’s a learning concern. Whitmire worries about newer professionals who might skip foundational manual work and jump straight to reviewing AI-generated results. “I feel like the old man saying this, but I did learn a lot doing the work manually and struggling through it,” he admits. He recalls learning about jet lease accounting by struggling through contracts and GAAP guidance—work that an AI could now handle instantly.

The solution may require restructuring how accountants learn their craft. Perhaps starting in accounting roles where they do manual work before moving into audit, rather than the current model, where most start as auditors reviewing work they’ve never performed.

As Oliver puts it, “I would rather manage AIs than manage people.” It reflects both the appeal and reality of this AI-augmented future. Managing AI agents eliminates many interpersonal challenges while allowing professionals to focus on technical and analytical work.

The accounting profession is heading toward becoming a hybrid of human judgment and AI automation. The question is whether professionals and firms will adapt quickly enough to thrive.

Regulatory Changes on the Horizon

The discussion also touched on significant regulatory changes that could reshape the profession. There are efforts in Congress to eliminate the Public Company Accounting Oversight Board (PCAOB) and transfer its responsibilities back to the SEC without additional funding, effectively ending independent audit oversight.

“When I was at EY, we were always scared of a PCAOB audit. So it was a thing that drove behavior,” Whitmire reflects. The fear-based incentive improved audit quality, even if the overall effectiveness is debatable.

Without the PCAOB, the industry would likely return to peer review, where accounting firms review each other’s work. As Oliver notes, “You’re not so afraid of your buddies reviewing your work.” That’s the same dynamic that led to audit failures before the Sarbanes-Oxley Act.

This regulatory uncertainty adds another layer of complexity to the AI transformation. Firms implementing AI systems need to consider current audit requirements and how oversight might change in the coming years.

The Path Forward: Auditability as Competitive Advantage

The accounting profession’s rigid requirement for auditability is often seen as a weakness. But it may become its greatest competitive advantage in the AI revolution. While tech companies rush to market with AI agents that promise to automate everything, firms that understand and embrace the auditability challenge will build sustainable, scalable solutions.

FloQast Transform demonstrates that the future isn’t about choosing between human judgment and AI automation. It’s about creating systems where they work together seamlessly. By preserving audit trails, maintaining human oversight for exceptions, and generating documentation that auditors can use, they’ve solved the fundamental problem that will likely sink many AI accounting startups.

For accounting professionals, this is a career evolution opportunity. The future belongs to those who combine accounting expertise with technology capabilities. These professionals will be empowered by AI to focus on higher-level analysis, judgment calls, and strategic work. The professionals who master these systems now will find themselves in increasingly valuable positions as the technology matures.

To hear the complete conversation about FloQast’s approach to accounting AI, including detailed technical examples and Whitmire’s predictions for the profession’s future, listen to the full episode above.

Inside QuickBooks Online’s Biggest Transformation Since Going Cloud-Based

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You’re reviewing a client’s profit and loss report when you notice little sparkle icons next to several expense categories. Curious, you hover over one and get an instant explanation: “Office supplies increased 127% compared to last month due to these three transactions.” What used to require detective work across multiple screens now happens automatically, with AI explaining not just what happened, but why.

This isn’t a future vision—it’s happening right now in QuickBooks Online’s July 2025 updates. On the latest episode of The Unofficial QuickBooks Accountants Podcast, hosts Alicia Katz Pollock from Royalwise and Dan DeLong from School of Bookkeeping break down Intuit’s massive “In the Know” session, where the company unveiled what they’re calling “QuickBooks on the Intuit platform.”

The transformation goes far beyond typical software updates. AI agents now work like digital detectives, scouring your data for patterns and anomalies. Banking feeds can automatically process PDF statements. Client communication occurs directly within QuickBooks, eliminating the spreadsheet shuffle. And those sparkle icons on reports? They’re AI-powered insights flagging unusual trends before your clients notice them.

But here’s what every accounting professional needs to understand: this isn’t an optional upgrade. By September 2025, everyone will be permanently on the new platform, with no opt-out option. The window to influence the final product closes soon.

AI Agents Become Your Digital Workforce

The heart of QuickBooks’ transformation lies in what Intuit calls “Agentic AI”—intelligent agents that actively hunt through your data for insights. Alicia explains her mental image: “I always imagine an AI bot in a detective hat, because that’s how I think about the AI is looking through the data and scouring it.”

The accounting agent, available for Essentials plans and higher, represents the biggest shift in how bookkeepers handle transactions. Instead of facing a wall of uncategorized entries, the system now identifies transactions that are “data-backed and likely to be accurate” and pre-checks them for posting. When three transactions meet this criterion, a banner appears announcing “three transactions ready to post.”

The game-changer is anomaly detection. Those sparkle icons appearing next to categories on profit and loss reports identify unusual trends automatically. Dan shares his experience: “I’ve seen it on some reports where the prior month there was a specific project that was done, and it said it right there on the screen like it went down this amount of percent because these two invoices were in the prior month.”

The categorization intelligence has evolved beyond simple pattern matching. The AI now recognizes that Shell and Arco are both gas stations, suggesting similar categories across different vendors. It scrapes bank descriptions for contextual clues and provides multiple suggestions for ambiguous transactions—offering both “meals and entertainment” and “travel meals” for restaurant charges, depending on your patterns.

Perhaps most significantly, categorization history has expanded from 12 to 24 months—a change Alicia specifically requested. This ensures annual charges can reference the previous year’s categorization, eliminating frustration with recurring yearly expenses.

Platform Integration Changes Everything

What Intuit calls “QuickBooks on the Intuit platform” represents more than rebranding—it’s the breakdown of decades-old product silos. As Dan explains, “their core offerings of TurboTax, MailChimp, and QuickBooks are getting homogenized here. And they can essentially talk to each other.”

The logic makes sense when you consider user patterns. As Alicia notes, “a lot of people use MailChimp who have never used QuickBooks. There’s a lot of people who file their taxes with TurboTax who have never used QuickBooks. So merging them all together is a natural evolution.”

The new interface features an app carousel with customer hubs, sales hubs, accounting hubs, marketing hubs, and business tax hubs. The customer hub will integrate MailChimp directly within QuickBooks, while business tax functionality brings TurboTax capabilities to the accounting workflow.

The enhanced bank feeds represent the most visible daily change. Alicia, who has been beta testing and providing daily feedback to developers, describes the evolution: “Everything that we knew and loved about the banking feeds is still there, but they kind of changed it.” The new system allows inline transaction editing, customizable column displays, and comprehensive transaction details.

The revolutionary statement import feature can process PDF bank statements and extract transactions automatically. While currently requiring human oversight—hence the two-hour processing time, at least for now—this capability could eliminate entire businesses built around transaction import services. As Alicia explains, “there’s a human being looking at it to see if it did a good job or not, and if it didn’t do it right, it’s actually going to a human being who is fixing the programming.”

Interface changes aren’t just cosmetic. The new left navigation is “brighter, it’s lighter, it’s prettier” with collapsible sections and bookmark functionality for one-click access to frequently used screens. The transformation from “Add” to “Post” in banking feeds reflects more technically accurate accounting language.

Client Communication Gets Built-In

The context gathering system eliminates the bookkeeper’s perpetual question: “What was this transaction for?” Built directly into QuickBooks, this feature threatens third-party apps by providing client communication tools within the core platform.

Alicia explains the problem this solves: “When you don’t know what something’s for, you have to go ask. And in the old days, we used to use spreadsheets for that. More recently, we’ve been using apps like Uncat, Keeper, or Financial Cents, where you can communicate with your clients right inside the app, but now you can do it right inside QBO.”

The system creates a to-do list maintained within QuickBooks, allowing bookkeepers to ask clients questions without requiring client QBO access. Clients receive emails with magic links to respond, and “it’s always the same link. And so you can just have your clients save it and bookmark it as the place to go.”

The expense forwarding feature allows anyone to send not just expenses but also income transaction directly into the system. However, this convenience introduces new risks. Alicia warns, “If you don’t have a bill approval process, you may have somebody who just goes in and pays everything without questioning anything. You actually could wind up paying bad actors who just sent random bills into your account to see if they could.” She reminds everyone to make sure they only give these email addresses to people they can trust.

The integration of Bill Pay Basic across all plans, including Simple Start, amplifies these concerns. Firms handling bill payments may want to consider upgrading clients to QBO Advanced, which includes mandatory bill approval workflows.

The September Deadline and What It Means

The timeline carries strategic implications beyond software preference. This isn’t a typical update where holdouts can postpone adoption—it’s a mandatory migration with a hard September deadline.

July offered opt-in/opt-out flexibility. August brought automatic transitions for new brand files. Crucially, all ProAdvisors’ clients were switched simultaneously. As Dan notes, “They threw accountants a bone” by ensuring firms wouldn’t juggle clients across different interfaces. September completes the mandatory transition, and by the month’s end, the new platform becomes permanent with no opt-out option.

The current period is critical for shaping the final product. As Alicia emphasizes from her beta testing: “This is the time to make sure that the platform works for us. They need your feedback.” Her daily communication with development teams resulted in interface improvements that serve real accounting workflows.

For firms considering the timeline, the choice is clear: engage now to influence the outcome, or adapt in September to whatever system emerges. The difference between being a beta participant and a forced adopter could determine whether your practice thrives or struggles.

Training and Resources Coming

Recognizing the scope of change, Intuit announced new training opportunities. Two courses are coming in October: one about understanding Agentic AI in general, and another specifically about AI agents in QuickBooks. There’s also ongoing research about what accounting professionals want to see in ProAdvisor Academy.

Alicia is completely rebuilding her training library at Royalwise. “I’ve got over 50 different courses of over 100 hours of QuickBooks Online content. So in September we are going to start over again from scratch,” she explains. Her Community and Coaching memberships will provide free entry into all webinars as she recreates content for the new platform.

Shape the Future or Be Shaped by It

The July 2025 QuickBooks updates represent the most significant transformation since moving to the cloud. AI agents are becoming the invisible workforce handling pattern recognition and routine categorization. New communication tools eliminate constant client back-and-forth. Interface changes reflect a fundamental shift toward integrated business management.

For accounting professionals, these changes represent both opportunity and risk. Those who engage now can influence the final product through feedback. As Alicia’s daily communication with developers shows, active participants can achieve solutions that serve the profession’s real needs.

But come September’s mandatory transition, the window for input closes. Firms will adapt to whatever system emerges from this beta period. The most successful professionals will view this transition as evolution—an opportunity to eliminate tedious data entry and focus on high-value advisory work.

Don’t let this transformation happen to you—be part of shaping it. The September deadline isn’t just about software—it’s about the future of the accounting profession itself.

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!

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

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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!