What CFOs need to know about AI agent governance in accounting

Some companies are implementing AI in their finance department, with AI agents taking care of tasks such as account reconciliation, invoice processing, forecasting and closing the books.

However, CFOs must be mindful of the importance of governance with accounting AI agents. Deployment of these new technologies can introduce risks related to accuracy, compliance and accountability. CFOs whose departments are using AI must also ensure financial integrity is maintained.

Here’s what CFOs should keep in mind as they implement AI agents in accounting.

1. Accounting teams must document how they use AI

AI governance begins with the compilation of a complete and accurate inventory of tools that are being used, their purpose and the guardrails that ensure their secure and accurate use. CFOs should work with their department to create a comprehensive list of approved AI tools and related processes, with clear policies regarding permitted workflows and approval thresholds.

Clear documentation supports a culture of accountability and simplifies audits, so AI governance policies should include a delineation of data inputs and outputs built around a data glossary. Failing to do so could lead to “black box” decisions that lack transparency and potential compliance failures. CFOs should also work with IT to ensure that AI accounting tools adhere to the organization’s security and data privacy policies.

2. Not all accounting processes are suitable for full AI autonomy

Agentic AI moves companies further toward fully automated systems. However, human oversight remains important, and in some cases, it’s absolutely critical.

AI agents could be a good fit for routine tasks such as account reconciliation and A/P automation, with humans taking over for exceptions. However, high-stakes processes such as strategic purchases, tax estimates and cash allocation should require mandatory human review and approval.

3. Auditability and explainability are paramount

It must be clear how AI accounting agents arrived at their decisions, and an audit trail must be preserved. CFOs should require timestamped logs of agent decisions, data lineage and reasoning, and those logs should be integrated with existing financial systems if possible.

AI traceability supports compliance with SOX and other regulations and is essential for establishing and maintaining stakeholder confidence.

4. Ownership, roles and accountability must all be defined

CFOs should ensure that AI use in accounting advances the organization’s strategic goals and that any potential financial and reputational risks have been addressed.

The CFO should assign an AI governance lead within the finance department, and that person should work with legal and compliance leads to ensure that accounting AI governance is aligned with the organization’s broader risk management framework.

Cross-functional AI committees and AI training programs will also help further these goals.

5. Impact and risk should be measured

Technology initiatives should be justified by ROI and must be monitored to ensure they offer benefits relative to their cost and risk. CFOs should define clear KPIs for accounting AI programs and consider tracking metrics like improved productivity, error or incident rates and compliance concerns. Conduct periodic model audits and bias checks.

AI can contribute to transformation in the finance department, but AI governance requires continuous vigilance. CFOs should follow some key strategies to optimize ROI, minimize risk and demonstrate responsible stewardship to stakeholders.

James Kofalt spent 16 years at SAP working with SME business applications and was a product manager for integration technology at Microsoft's Business Solutions division. He is currently the president of DX4 Research, a technology advisory practice specializing in ERP and digital transformation.