TakeControl 2026 Recap: FloQast's AI Accounting Announcements, Data, and Key Takeaways

TakeControl 2026 brought together thousands of accounting, finance, and compliance professionals for two days and fifteen sessions on what practical applications AI and automation have in accounting right now.

The range of companies on stage made the case on its own: Chipotle, Equinox, Gong, Blue Owl Capital, Chickasaw Nation Industries, Atrium Hospitality, Meta, EY, AWS, and Michael Page, spanning restaurants, fitness, asset management, government contracting, hospitality, tech, and professional services. Accounting teams from nearly every corner of the economy, working through the same questions:

1. Where the close is actually getting faster
2. What governance actually requires
3. How to decide what to build versus buy
4. What the accountant's job looks like on the other side of all of it.

Here's what stuck with us, session by session.

Key takeaways from TakeControl 2026:

• FloQast's "ABCs of accounting AI" framework prioritizes accuracy, then budget, then compliance, in that order.
• 85% of organizations call AI a strategic priority, but only 10% are using it extensively.
• Gong cut its close from 15 days to 8 days; Chickasaw Nation cut its close from 15 days to 5 days and shaved a month off audit season.
• Blue Owl Capital reduced a weekly overhead allocation process to 25 seconds.
• 88% of organizations have deployed AI in at least one business function, but only 38% have a governance policy in place.
• Bank reconciliations are the most common starting point for AI adoption in accounting: high transaction volume, clear rules, and fast feedback on accuracy.
• FloQast announced five new products at TakeControl 2026: Transform, Detect, AI Assistant, Operational Audits, and the COSO AI Governance module.
• The accounting profession is not shrinking under automation; the work is shifting from defending numbers to using them.

What is FloQast's "ABCs of accounting AI" framework?

In the opening keynote, FloQast co-founder and CEO Mike Whitmire introduced a framework worth keeping: the ABCs of accounting AI. 

Accuracy — first and always. 

Budget — accounting has to lead the way on efficiency. 

Compliance — the piece most AI deployments are getting wrong.

The keynote introduced the accounting AI maturity model (most of the industry is still at Level 1 or 2), made the case for thinking about an automation strategy rather than an AI strategy, and named two emerging roles redefining what an accounting career looks like: the Financial Transformation Lead and the Forward Deployed Accountant.

Five new products and capabilities were announced at TakeControl, and they all pull in the same direction: AI that keeps the accountant in control and every decision auditable. Here's the lineup:

• FloQast Transform can now reverse-engineer an agent directly from last month's close — hand it your prior-period files and it builds the workflow, the playbook, and the audit trail from work your team already reviewed and signed off on.
• FloQast Detect monitors your GL continuously throughout the period, flagging anomalies per account and subsidiary as transactions are recorded — not after the close has already started.
• AI Assistant brings that same intelligence into journal entry review, running structural checks and an audit risk score on every entry before anything posts.
• FloQast Operational Audits gives internal audit teams one platform to plan, track, execute, and report — with AI drafting the audit plan and generating the executive report from live data.
• COSO AI Governance module operationalizes the COSO generative AI framework directly inside the platform — mapping agent capabilities to risks and controls, and capturing audit evidence automatically as agents run.

Key takeaway: Accuracy first, then budget, then compliance. And every product announced builds toward the same goal, keeping a human in the loop and every decision auditable, not replacing the accountant who signs off on it.

Why do most accounting AI pilots stall after a promising start?

Source sessions: Accounting's AI Inflection Point, Beyond Time Saved

The numbers that opened Accounting's AI Inflection Point set the tone for the entire conference, and they weren't subtle: 85% of organizations call AI a strategic priority, but only 10% are using it extensively. Six in ten accountants are still handing over nearly two days a week to manual work. Priority, apparently, is cheap.

The panel's diagnosis: the blocker is translation. Teams pilot AI, save real time, and then watch the project quietly die anyway. Ask why, and it's rarely because the tool failed. It's because nobody could explain to the CFO why it mattered. Sam Peterson, a partner at EY and panelist on Accounting's AI Inflection Point, put it plainly:

"I still see too many companies that lack clear strategic intent about why they're even doing AI. It's got to be a better answer than everyone's doing it."

Beyond Time Saved put harder numbers to that same problem: 30% of generative AI projects get abandoned after the pilot, and 74% of organizations say AI hasn't met their expectations. The teams breaking through go in knowing what they'll do with the time they save, and they can explain it in terms a CFO actually cares about. Dan Hollman, head of the AI Center of Excellence at Atrium Hospitality, described what that shift looked like in practice:

"The tone of the conversation has changed completely. It's shifted from 'what's the noise from accounting this month' to 'this is reliable data.' It's brought a lot of trust to the company. We're communicating more reliable, accurate numbers, so you can actually believe what we're telling you."

Key takeaway: The teams closing the 85%/10% gap didn't run a separate “AI initiative”. They folded AI into the strategy they already had, and they can point to exactly what it's freeing them up to do.

How much faster is the accounting close with AI-driven reconciliations?

Source sessions: Scaling the Enterprise Close, Beyond Time Saved, Complexity In, Agent Out, The Professional Skeptic vs. The One-Click Close

The case for faster closes didn't come from FloQast. It came from the customers who lived it. 

Gong went from a 15-day close to an 8-day close. Chickasaw Nation went from 15 days to 5, and shaved a full month off audit season in the process. Blue Owl Capital took a quarterly overhead allocation process that used to eat a solid week of back-and-forth with an offshore team and got it down to 25 seconds.

Behind all three transformations is one of our driving principals: accountants spending less time defending numbers and more time using them. Before automation, Dan Hollman said his team's monthly review calls were spent interrogating the numbers rather than discussing them. Every figure got the same first question:

"Is this number something I can believe?"

After deploying numerous agents, those conversations became strategic. The numbers were trusted. The time was real.

The practical entry point that came up again and again was bank reconciliations. High volume, clear rules, fast feedback on whether the AI is working Joni Risley, VP of Finance at Chickasaw Nation said:

"We knew we were changing banks, so we proactively implemented AI matching on our bank reconciliations. It got us through that time when the number of reconciliations doubled while we were in transition. Then the unexpected happened — we had turnover in that department. Having the AI matching in place and working on those bank reconciliations is what brought us through that period."

Key takeaway: The fastest closes in the room started with bank reconciliations: high volume, clear rules, and a fast read on whether the AI could be trusted before anyone scaled it into riskier territory.

What separates a working AI agent from a real accounting automation strategy?

Source sessions: You're Going to Build Agents, A Masterclass in Building & Deploying Custom AI Agents

The most memorable line from the agent-building sessions came from Roshan Chekuri, GM of Transform, in his closing summary:

“Build your agents, don’t build the platform.”

The accounting logic, the process, the rules, the judgment calls, that's yours to build. The governance layer, audit trail, and controls infrastructure is the part you shouldn't have to maintain yourself.

The customer stories backed it up. Hazeldene's, a PE-backed poultry company in Australia, runs five agents across its weekly accounting processes, cutting roughly 15 hours a week of manual farming and agricultural accounting down substantially. One example: a "boiler" agent that used to take an accountant three hours to process now needs about half an hour of review. At Nitrogen Wealth, when a team member left unexpectedly on the first day of close, a team of two closed the books in five business days anyway. That's what automation is actually for. Not a productivity chart. A team that can survive losing a third of its headcount mid-close.

Minh Hill, VP, Corporate Controller at Nitrogen Wealth, on the moment she realized what they'd actually built:

"Any one of my team can run the agent. That was the moment I realized we hadn't just automated a task… We removed the dependency."

Key takeaway: Building an agent is the easy part now. What separates the teams getting real results is what they build on top of it: their own process logic and judgment, layered onto governance and audit infrastructure they don't have to maintain themselves.

What percentage of finance teams have AI governance in place?

Source sessions: GRC's Defining Moment, The Accountability Gap

Take a good luck at those numbers. 88% of organizations have deployed AI in at least one business function. Only 38% have any governance policy in place. That's a lot of agents running around finance departments with nobody watching.

The sessions on GRC and auditability made a point that reframed the discussion: AI governance is the same discipline accounting teams have always practiced, applied to a new category of risk. New controls — confidence scoring, golden data testing, model drift monitoring — are emerging, but they sit on top of frameworks that already exist.

Jason Pikoos, Director, Modern Finance at Meta, made the case for why that matters:

"Having clarity around standards and expectations is actually a real way of accelerating innovation. The reality is, without governance and clear definitions, we've seen it take a lot longer to deploy AI, because our accountants know there are requirements around controls and governance."

Key takeaway: 88% of organizations have already deployed AI somewhere in the business. Only 38% have a governance policy to go with it. If you've spent your career building controls and audit trails, this is your opening. Those skills stop being overhead and start being the differentiator.

How is AI changing what an accountant's job looks like?

Source sessions: The Strategic Operator, Real Talk: How Accounting Leaders Are Rewriting the Rules

The closing theme across multiple sessions: the accounting profession isn't shrinking, it's being redefined. When manual work gets automated, the time doesn't disappear into nothing. It becomes available for the work accounting was always supposed to be doing.

Dan Callaghan, FloQast's Chief Accounting Officer, offered the framing that landed best: think of the tractor. It didn't eliminate farming. It eliminated the backbreaking labor, so farmers could focus on the decisions that actually drove the yield.

The firms that will win aren't necessarily the biggest or the best-funded. They're the ones that started building the muscle now… Before it was urgent.

Key takeaway: Automation doesn't shrink the job. It raises the ceiling of it. The accountants who matter most in the next chapter are the ones sharpening that judgment now, process fluency, and the instinct to point AI at the right problem before anyone has to ask.

What's Next

The conversations at TakeControl don't stop when the conference wraps. Every session is available on demand at FloQademy — whether you missed it live or want to go back and sit with a session that's resonating with you.

And if the product announcements caught your attention, the full breakdown of what was introduced (Transform, Detect, the AI Assistant, Operational Audits, and the COSO AI Governance module) is at the TakeControl 2026 product announcement page.

The accounting profession is moving. TakeControl was a room full of people already in motion.

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