AI for accountants: from bookkeeping checks to tax advice

What to look at first

Accountancy AI should reduce repetitive work while keeping professional responsibility clear.

• Automate document intake.
• Flag anomalies.
• Draft client explanations.
• Use knowledge retrieval for internal guidance.

What the result should be

The result is more capacity for advisory work and fewer hours lost to repetitive checks.

Use AI first for preparation and exceptions

The strongest accounting starting point is not autonomous advice but collecting information, classifying documents, extracting fields, preparing reconciliation and flagging anomalies. Every finding links to evidence and control. Staff assess materiality, context and conclusion. This reduces manual work while preserving professional responsibility and traceability.

• Identify document type, period and client.
• Extract critical fields with confidence and source.
• Flag missing documents and periods.
• Prepare reconciliations and unusual transactions.
• Draft explanation for professional review.

Combine fixed controls with AI

Amounts, tax, totals and deadlines belong to deterministic rules. AI helps with unstructured descriptions, documents and explanation. Separate both layers visibly so users know what was formally checked and what is a model assessment. Low confidence and conflicting sources enter review automatically. Corrections become evaluation data.

• Rule engine for financial and tax conditions.
• AI for extraction, classification and summary.
• Risk-led review queue.
• Four-eyes control for relevant completion.
• Audit source, rule, output and decision.

Protect client data and isolate files

Accountancy handles sensitive financial and personal information. Apply tenant and role control before search, export and AI retrieval. Use approved model environments and establish whether inputs train supplier models. Minimise prompts, encrypt storage and limit retention. Explicitly test that the assistant cannot draw information from another client file.

• Server-side client and file filters.
• Least privilege by team and task.
• No production data in unmanaged consumer tools.
• Logs without unnecessary sensitive duplication.
• Regular access and supplier review.

Keep tax advice and professional judgement human

AI can find sources, structure scenarios and prepare a memo. Law, facts and exceptions require current-source checks and professional judgement. Show sources, dates and assumptions and have an authorised adviser sign off. Do not give clients automatic advice without context, questions and clear responsibility. Generative output is never the sole source.

• Current official source and effective date.
• Facts separated from assumptions.
• Alternatives and uncertainty visible.
• Review by qualified staff.
• Final communication stored in the client file.

Measure capacity without hiding quality

Track time from intake to complete file, missing items, post-review corrections, deadline risk and client enquiries. Do not measure only documents processed. Higher straight-through rates help only when important exceptions remain detected. Begin with one document or control, run beside the existing method and scale after a representative peak.

• Accuracy by critical field and control.
• Review time and corrections per file.
• Missed and correctly flagged anomalies.
• Lead time and work in progress.
• Client satisfaction and time released for advice.

Introduce the solution one file flow at a time

Choose a recognisable first flow such as purchase invoices, year-end evidence or client queries. Define what arrives, which control runs and who handles an exception. Ask senior staff to assemble the initial test set and review risky edge cases rather than relying on average accuracy. Tell clients when submission or communication changes and retain an alternative channel. After a full filing, close or reporting cycle, the firm can decide which next flow offers sufficient return and control.

• One file flow with a fixed scope and owner.
• Representative test set including difficult exceptions.
• Working agreement for review, correction and escalation.
• Clear client communication about the new process.
• Go or no-go after a complete professional cycle.