Closing the AI Adoption Gap in Accounting

By Yuri Bobbert

November 6, 2025

From research insights to real-world action with Anove’s AI Management System (AIMS)

Why this matters

A new study on AI adoption strategies by Glenn Van den Broeck[1] in public accounting reveals a striking gap: only 27% of European accountancy firms actively use AI today, even though 62% believe it could streamline their work, and another 22% plan to adopt it "soon."

So what is holding firms back?

The same study lists five persistent barriers: data-security worries, accuracy concerns, high implementation costs, lack of expertise and missing AI policies. Underlying those barriers are seven themes the research frames as enablers vs. inhibitors: Vision, Exploration, Data, Resistance to Change, Training, Costs and Governance.

Yet the upside is enormous. AI already proves it can boost efficiency, raise reporting quality and cut costs in audit and bookkeeping tasks.

Shadow-AI: the invisible risk

When accountants don’t get the tooling or governance they need, they improvise. Industry surveys show that more than half of employees paste sensitive data into unapproved AI tools—a classic “shadow-AI” pattern that opens firms to privacy, bias and regulatory exposure.

Enter Anove AIMS — Oversight, Insight, Enforcement

Anove’s AI Management System was built precisely for these friction points:

Research inhibitor	What AIMS delivers	How it helps
Data fragmentation & opacity	Unified visibility – discovers every AI/LLM call across SaaS and on-prem, turning unknown use into quantifiable dashboards.	Gives partners a single source of truth and supports “Vision + Data” themes
Security & privacy worries	Risk scoring per model – evaluates data sensitivity, residency, vendor security & bias history.	Prioritises mitigation budget; reassures clients and regulators
Regulatory uncertainty	Regulation-aware controls – auto-maps AI flows to EU AI Act & GDPR, cutting audit-prep time by up to 70 %.	Turns Governance from theory into practice
Data-sovereignty demands	Data & LLM localisation insight – flags cross-border data flows and non-EU hosting.	Keeps financial data where the law—and clients—expect it
Unclear accountability	Action-owner intelligence – shows which teams own the riskiest models and what they must do next.	Tackles “Resistance to Change” with named responsibility
Hidden cost of manual compliance	API-first automation – reads proxy & firewall logs and enforces policies automatically.	Slashes repetitive workload, aligning with the “Costs” theme

Together, these capabilities enact the AIMS mantra of Oversight $\rightarrow$ Insight $\rightarrow$ Enforcement, giving firms a practical pathway from exploratory pilots to enterprise-grade, governed AI.

What success could look like

Imagine an accounting practice where:

Real-time dashboards highlight every Gen-AI interaction—no more blind spots.
Risk scores auto-suggest which vendor LLMs meet your internal control thresholds.
The audit partner walks into an EU-AI-Act review with auto-generated evidence packs instead of weeks of spreadsheet-chasing.
Staff see AI as a co-pilot, not a black box—because AIMS links each model to a named owner, clear policy and training resources.

These outcomes map one-to-one to the seven research themes, turning academic insights into operational wins.

Call to action

If your firm recognises the research findings, big ambition, patchy governance, and shadow-AI risks—let’s talk. Anove is already helping finance teams move from promise to production-ready AI with AIMS.

$^{1}$ Artificial Intelligence in Public Accounting: Adoption Strategies by Glenn Van den Broeck

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