AI in finance and accounting
M25
Preserve the integrity of figures and the audit trail.
Training by function
In finance, a fabricated figure or a fraudulent transfer is costly. This path protects the integrity of your data and your audit trail while unlocking the productivity gains of AI.
Why this path
AI can speed up analysis and drafting, but it confidently hallucinates amounts and references. Add voice fraud and deepfakes, and vigilance becomes a job skill. This path installs the right reflexes: source verification, budget confidentiality, out-of-band validation.
M25
Preserve the integrity of figures and the audit trail.
The baseline reflexes your whole team shares, whatever the job.
M01
Demystify the probabilistic engine and distinguish it from predictive AI.
A probabilistic engine predicts the most plausible word without understanding meaning: brilliant, but sometimes wrong. Never feed it confidential data in a public tool.
RegisterM02
Identify fabricated information and how to verify it at the source.
A hallucination is fabricated information presented confidently. The risk is real on expert tasks (figures, citations): every output must be verified at the source.
RegisterM03
Structure your prompts (Role + Context + Task + Format) and iterate.
Good results come from a structured prompt and an iterative approach. Providing examples of the desired output markedly improves quality.
RegisterM04
Sort your data and de-identify rigorously before every prompt.
Anything entered into a public AI can be retained and reused. Never client names, salaries or API keys; removing just the name is not enough.
RegisterM05
Recognize shadow AI and have tools approved by IT.
Shadow AI is the use of unapproved tools, often free and poorly protective. The reflex: check the IT allowlist and get the tool approved before using it.
RegisterM06
Apply "human-in-the-loop" and the "four eyes" method.
AI is a gifted junior assistant with no judgment: final responsibility stays human. Review and validate every deliverable as if you had written it yourself.
RegisterThe modules most relevant to the risks specific to your function.
M15
Adopt "zero trust" toward AI deliverables.
A source cited by AI may be fabricated: go back to the original document and recompute the figures. Verifying one output with another AI is risky.
RegisterM12
Spot AI-boosted attacks and verify out of band.
AI enables flawless phishing and hyper-realistic deepfakes (voice, video). The defense: every transfer or banking change is validated through a known official channel.
RegisterM21
Keep a compliance register and a verifiable audit trail.
Tracking tools, purposes, risk levels, training and incidents is the best defense in an investigation. Documented evidence demonstrates due diligence.
RegisterEnroll your teams in our AI-literacy and governance training paths, from the common core to function-specific use cases.
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