The short answer
AI agents are programs that complete a task in several steps on their own: they pull data from multiple sources, compare it, produce an analysis and pass on the result. For CFOs they are useful today in planning and reporting, as long as a person checks the results. They replace neither the finance lead nor their responsibility.
How an agent differs from a chatbot
A chatbot answers a question. An agent is given a goal, for example "Prepare the monthly report for the shareholders", and works through the steps itself. To do so it accesses accounting, the bank, the CRM and spreadsheets. That is why agents can do more but also need more oversight: a mistake in step two carries through all the following steps.
Where agents help in finance today
Preparing reporting
An agent can combine figures from several systems, flag deviations from plan and suggest comments. That saves time in month-end close and reporting. Explaining why a deviation occurred remains a job for people who know the business.
Planning and scenarios
Agents can run an existing financial model with new assumptions and compare variants. They are only as good as the model underneath: a model with unclear assumptions simply produces wrong results faster.
Keeping an eye on liquidity
In liquidity planning, agents can continuously match incoming payments against open invoices and warn early about shortfalls. The basis is a clean 13-week cash forecast.
Investor and bank reporting
Standardized reports can partly be built automatically. Before sending, every number and every statement must be checked by a person.
Where caution is needed
- Plausible errors: An agent can present wrong explanations convincingly. Figures and explanations must be checked against the source.
- Data protection: Financial data contains personal and confidential information. Before use, clarify where data is processed and who has access.
- Access rights: An agent should only be able to read what it needs, and should not be able to approve or transfer anything.
- Traceability: It must be documented which steps the agent performed. Proper bookkeeping standards also require this.
How to start sensibly
- Pick one task that repeats often and follows clear rules, for example the monthly report.
- Clean up the data basis: chart of accounts, KPI definitions and planning assumptions must be unambiguous.
- Define a review step: who checks the result before it is sent?
- Start small, compare the results with your previous way of working, and only then expand.
If you do not have the capacity, you can also set up the finance function as a service, including clean processes and reports.
Frequently asked questions
What is an AI agent in controlling?
A program that completes a multi-step task such as producing a report on its own, using several data sources.
Can AI agents replace the CFO?
No. They take over recurring preparatory work. Valuation, decisions and responsibility stay with people.
Which tasks suit a first use?
Recurring tasks with clear rules, such as preparing monthly reporting, matching open items or running planning variants.
What are the risks?
Plausible-sounding errors, data protection questions, overly broad access rights and a lack of traceability of the work steps.
Further reading
In more depth: What can really be automated in the finance function. Our offering is described on the Interim CFO page.
