AI agents for business finance: what they can and can't do
What AI agents can do in bookkeeping, close, collections and compliance today, where a person must stay in charge, and how to judge a product.
The short answer
The biggest red flags in an AI agent demo are a vendor who only shows scripted happy paths, cannot show you where the agent stops, has no record of actions with their sources, and is vague about how the agent was tested and where your data goes. Ask to see the agent handle an awkward case from your own business, and ask to see the log afterwards.
Demos are designed to impress. An agent answers a question, drafts a proposal and books a meeting in two minutes, and it looks finished. What a demo rarely shows is what happens when the request is ambiguous, the records disagree or the amount is large. Those are the cases that decide whether an agent is safe to use. Here is what to watch for.
Red flags in what you are shown
1. Only the happy path
If every example works first time, you are seeing a script. Ask the vendor to run a case you bring: a part payment, a complaint that cites a policy you do not have, a supplier asking to change bank details.
2. No visible stopping point
Ask: what is the largest amount this agent can commit alone, and what happens just above it? If the answer is vague, or the limit can only be set by the vendor, treat it as a warning. You should be able to set and lower limits yourself, by type of action and by amount, and see the queue of items waiting above them. OWASP lists excessive agency, an agent with more permission than its task needs, as a leading risk.
3. Answers without sources
When the agent tells a customer your refund window is 30 days, can it show the clause it relied on? An answer you cannot trace is an answer you cannot check.
4. No action log
Ask to see the record for the task just demonstrated: what the agent read, what it did, when and why. If there is none, you will have nothing to go on when something goes wrong.
Red flags in what you are told
5. Claims of near-perfect accuracy
Language models make mistakes; NIST's generative AI profile treats confident errors as a core risk. A vendor claiming its agent never errs is either measuring narrowly or overstating. The US FTC has warned businesses that claims about AI must be backed by evidence.
6. Vague testing
Ask how the agent was tested before release, against what kinds of cases, and whether it is tested again when its job or your data changes. 'Extensively' is not an answer.
7. Unclear data terms
Where is your data stored, who can see it, is it used to train models and how long is it kept? Data protection law in the UK, Canada, Nigeria and elsewhere expects you to know. The ICO's AI guidance is a useful checklist even outside the UK.
8. Promises of income or growth
Be wary of pricing or marketing built on guaranteed returns. The FTC's 2024 action on deceptive AI claims included schemes promising business owners earnings from AI tools.
Red flags in the terms
9. Liability that all sits with you
You will be accountable to your customers whatever the contract says, but the contract should still say what the vendor does when its agent errs: notification, support, correction.
10. No way to switch it off quickly
Ask how you pause an agent, revoke its access and export your records. If that takes a support ticket and a week, the risk of a bad day grows.
What good answers sound like
| Question | Weak answer | Strong answer |
|---|---|---|
| Where does it stop? | It is very careful | Above the ceiling you set; here is the queue it lands in |
| How do I check its work? | It is highly accurate | Every action is logged with its source; here is today's |
| How was it tested? | Thoroughly | Against these case types, before release and after changes |
| What about my data? | It is secure | Stored here, not used for training, kept this long, exportable |
| What if it goes wrong? | It will not | You can pause it here; we notify you and help correct |
Bring a short list of your own awkward cases to every demo and use the same list each time, so vendors are compared on the same ground. Involve whoever will use the agent day to day, not only the person signing the contract; they will spot unrealistic cases quickly. Write down each vendor's answers during the session, because a strong demo is easy to remember as better than it was. Afterwards, ask for the same answers in writing, especially on data, limits and how to switch the agent off. For a fuller list of questions, see our guide to what an agent's audit trail should record.
Where Pryme fits
Pryme's agents are designed to answer these questions in the product itself. Each works inside a mandate with a ceiling, every action is recorded with its source, and the agents are certified by Pryme Intelligence before they act and must re-earn certification when their mandate or data changes. The Finance agent page shows where it stops, and security sets out how the account is protected.
Questions people ask
How long should an AI agent demo take?
Long enough to run at least two or three of your own awkward cases and inspect the record afterwards, usually under an hour.
Should I ask for a trial instead of a demo?
Where possible, yes. A short pilot on your real work tells you far more than any scripted demonstration.
What if the vendor will not use my examples?
Treat it as a warning. A product built for real work should cope with real cases, or explain clearly why it cannot.
Do red flags mean I should walk away?
Not always. Some gaps can be closed with contract terms or set-up. But a vendor that cannot show where the agent stops or what it recorded is hard to use safely.
Sources
- OWASP: LLM06:2025 Excessive Agency · accessed Oct 2026
- NIST AI 600-1: Generative AI Profile · accessed Oct 2026
- FTC: Keep your AI claims in check · accessed Oct 2026
- FTC: FTC announces crackdown on deceptive AI claims and schemes · accessed Oct 2026
- ICO: Guidance on AI and data protection · accessed Oct 2026
This article is general information, not financial, legal or tax advice. Products described are provided under the terms on this site and are subject to regulation and eligibility.