AI in Finance: Governance Handbook for the CFO
Compliance, external auditors, and Decision Layer for the EU AI Act and DORA. High-risk obligations from 2 December 2027, transparency duties in force since 2 August 2026. Free PDF download.
A selection from over 5,000 projects in 25 years of software development
What You Will Find in This Handbook
The EU AI Act classifies AI-assisted creditworthiness assessments of natural persons as high-risk (Annex III, point 5(b)). Under Regulation (EU) 2026/1744, in force since 27 July 2026, those obligations apply from 2 December 2027 - settled law, not an expectation. DORA, by contrast, has bound financial entities since 17 January 2025, and an AI system inside a financial process is ICT within its meaning. Only 38% of organizations have a formal, comprehensive AI policy (ISACA AI Pulse Poll 2026). This handbook closes the gap - with finance-specific frameworks, checklists, and a Readiness Assessment.
Why the CFO must lead AI governance in Finance - not IT
Governance ownership, role model, and CFO checklist.
Three types of financial decisions: Human, Rule-based, AI
The H/R/A framework with an Agent Readiness Score for each finance process.
EU AI Act and DORA: requirements for the financial sector
High-risk delineation (Annex III, point 5(b)), deployer obligations under Articles 26 and 27, the deadline table after the Digital Omnibus on AI, the four DORA duties an AI system inherits, and a compliance checklist.
External auditors as governance partners
ISA 315 (Revised 2019) and ISA 330 in the financial statement audit, Auditor Portal, AI literacy under Article 4 as amended in July 2026.
4 Finance processes in the Decision Layer
Accounts Payable, Travel Expenses, Financial Close, Fraud Detection - with decision tables, simulated zero-touch rates and the outlook on e-invoicing under ViDA from 2030.
Finance Readiness Assessment (10 questions)
Where does your organization stand? Self-assessment with score and action recommendations.
90-day plan to get started
Inventory, Design, Pilot - structured path to the Decision Layer in three months.
Download for free
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5 Key Figures from the Handbook
5%
of annual revenue is lost to fraud by an organization's own employees, as estimated by the Certified Fraud Examiners surveyed
ACFE, Occupational Fraud 2026
USD 9.90
is the average cost of processing an invoice; Best-in-Class organizations need USD 2.67
Ardent Partners, Accounts Payable Metrics that Matter in 2026
85-95%
of travel expense cases zero-touch in Gosign simulations (model calculation, not an industry benchmark)
Gosign simulation, four industries
10-20-70
Share of AI effort for algorithms, technology and data, and people and processes
BCG, Closing the AI Impact Gap (2025)
EUR 15M
or 3% of worldwide annual turnover, whichever is higher: maximum fine for breaches of high-risk, deployer and transparency obligations
EU AI Act, Article 99(4)
Who Is This Handbook For?
CFO / VP Finance
You are responsible for the AI strategy in finance and need a framework that convinces external auditors, legal, and the board at the same time.
Head of Finance / Accounting Manager
You implement AI-powered processes and need clear decision rules: What to automate, what not? How do you maintain audit assurance?
External Auditor / Internal Audit
You audit AI-powered financial processes and need transparency: Which postings does the agent process, which does a human? How does the audit trail work?
Finance Compliance / Legal
You need to implement EU AI Act requirements for financial processes and need a compliance checklist with concrete measures and ICS integration.
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