FloQast AI study results landed on Tuesday, August 11, from Los Angeles. The headline is blunt. While 85 percent of accounting teams have made AI a strategic priority, only 10 percent use it extensively.

Behind the FloQast AI study sit independent surveys of accounting and finance professionals across the US and UK. Its central claim is that barriers have less to do with technology than with trust, training and governance. Organisations pulling ahead are not simply those with the most advanced tools.

The FloQast AI Study Points at Controls, Not Capability

The most useful FloQast AI study finding is not about AI capability at all. It concerns controls.

Accounting is one of the few business functions where an output that cannot be traced, validated and defended to an auditor is worse than useless, however accurate it might be. So documentation and control foundations have to exist first, before AI sits safely on top of them. FloQast reports that around half of organisations operate with informal or inconsistently applied financial controls, and that barely a quarter of professionals strongly agree their AI tools meet enterprise-grade governance standards.

Supporting figures in the FloQast AI study describe the execution gap in similar terms. Six in ten accountants report spending 40 percent or more of their time on reconciliations, data entry and comparable manual work. Most close cycles still run a week or longer.

Beyond that, the report sorts organisations across a five-level maturity index. Level 1 covers spreadsheet-heavy shops with minimal traceability. Level 5 covers AI-native teams with automation embedded system-wide. Between those poles, the reported performance gap is real, running from roughly 63 percent manual time and an 8.7-day close down to about 34 percent and 6.7 days.

FloQast AI Study Findings Match Independent Data

Vendor research invites scepticism, so outside corroboration matters. Here it exists.

In Gartner surveying, 78 percent of chief financial officers were actively investing in AI and automation. Only 47 percent believed their teams were equipped to use those tools effectively. Different sample, different sponsor, same shape. Notably, FloQast’s earlier research with the University of Georgia found roughly three-quarters of accountants and CFOs had used AI at work. Fewer than 10 percent called it integral.

That last point matters for a specific reason. The 10 percent figure has now appeared across two separate FloQast AI study cycles, which makes it a tracked pattern rather than a single striking number.

The FloQast AI Study Sells Auditable AI

Commercial interest runs closer to the FloQast AI study findings than usual. The company does not merely sell workflow automation into this category. It markets auditable AI Agents specifically, and its platform positioning centres on traceable, defensible output.

So the research identifies a governance gap that maps precisely onto the company’s own differentiator. A report placing 90 percent of the market below extensive adoption is also a pipeline argument. This is not a small vendor either. It passed $200 million in annual recurring revenue in January, with more than 3,500 accounting teams as customers including Lululemon, Chipotle and Shopify.

None of that undercuts the finding. Respondents cite data security and missing AI skills training as leading barriers rather than blaming inadequate tools. That points toward organisational readiness rather than technology maturity. That lines up with what has been reported across other corporate functions adopting AI. Independent analysis of finance AI adoption likewise ranks data security as the top concern for finance teams.

What the FloQast AI Study Says About Talent

One FloQast AI study dimension deserves more attention than the automation numbers. AI literacy is becoming a professional credential rather than a differentiator.

Here 88 percent of respondents said AI literacy will become as important as GAAP expertise. Another 82 percent warned that failing to adopt AI will damage talent retention. Consequently, the risk of standing still is not only slower closes. It is losing the accountants who want to work somewhere modern.

Meanwhile, reconciliations remain the flagged opportunity. A majority name them the top automation target while very few report high automation there today. Watch that gap in the next FloQast AI study cycle, since it is the clearest measurable test of whether ambition converts.

Watch the maturity distribution too. If the share of organisations above Level 3 has not moved by the next survey, the trust and governance explanation gets stronger rather than weaker, and the tooling story gets harder to sustain.

For related reading, our guide to AI in fintech tracks adoption across financial services. Our 2026 regtech guide covers the controls and compliance layer this research describes, while our piece on integration costs explains why readiness lags purchasing. FloQast published the study announcement through GlobeNewswire. CPA Practice Advisor covered the findings, and GlobeNewswire carried the January revenue milestone.

Fintechbits covers accounting technology, finance automation and AI governance. Nothing here constitutes financial or investment advice. All analysis represents the editorial views of Fintechbits.