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Application exampleScenario country : Luxembourg

Accountants

Less rekeying. More time for advice.

A 15-person practice receives invoices in varied formats. Data entry and incomplete-document follow-ups slow accounting preparation.

These cases show how we would apply our method to different professional situations. Business profiles, countries, timelines and gains are illustrative assumptions. They do not describe completed client engagements.

Illustrative audit · 4 pages · no registration

Simulated schedule
8 weeks
Support planned in the scenario
10 consulting days
Simulated net time saving
36 h / month

Assumed internal commitment : 5 person-days. Consulting days are spread across the schedule and do not mean full-time attendance. Internal days are additional. Scope and a quote must be agreed for a real engagement.

01 / Proposed audit scope

Accountancy practice

Supplier invoice preparation, without final posting or automatic filing.

What we would examine

150 redacted invoices covering common formats, duplicate cases and a correction log.

02 / The process, department by department

DepartmentSimulated starting pointProposed processHuman approval
Finance & accountingRekey invoice dataExtracted fields and suggested matchesReviewing accountant
Client relationsRepeated requests for supporting documentsMissing-document list for confirmationClient portfolio manager
Management & planningLimited visibility of closing workloadTrack time, rework and exceptionsEngagement manager

The approach to compare

Compare existing structured import with AI-assisted extraction. Check totals and duplicates with rules; reserve AI for unstructured documents.

What stays with the professional

The accountant validates coding, VAT and entries. Suggestions remain drafts in a test environment.

03 / From audit to an independent team

8 weeks.
10 consulting days.

A simulated engagement timeline, with a decision and deliverable at every stage. Rollout depends on test results.

  1. Week 1 · 2 consulting days

    Observe & measure

    150 redacted invoices covering common formats, duplicate cases and a correction log.

    Proposed deliverable Process map, baseline measurement and issue register.

  2. Week 2 · 1 consulting days

    Scope & decide

    Compare simplification, existing features and AI. Define scope, access, full costs and stop criteria before building.

    Proposed deliverable Audit report, priority matrix and test protocol.

  3. Weeks 3–5 · 3 consulting days

    Prototype

    Compare existing structured import with AI-assisted extraction. Check totals and duplicates with rules; reserve AI for unstructured documents.

    Proposed deliverable Limited prototype, test set and approval workflow.

  4. Weeks 6–7 · 2 consulting days

    Test & decide

    No approved duplicates or accepted total mismatches; verify essential fields on a separate test set.

    Proposed deliverable Comparative assessment: proceed, adjust or stop.

  5. Week 8 · 2 consulting days

    Train & hand over

    Train users on routine and exceptional cases. Appoint an owner and document the manual fallback. If testing fails, hand over findings and a correction plan.

    Proposed deliverable Usage guide, team workshop and 30-day follow-up plan.

04 / What the scenario aims to achieve

Simulated net time saving

36 h / month

Reduce document handling to focus on exceptions and client advice.

Assumed monthly volume
1,200 prepared invoices
Baseline time per unit
5 min
Target time, including human review
3 min
Monthly monitoring and maintenance
4 h

Transparent calculation

1,200 × (5 − 3) ÷ 60 − 4 = 36 h / month

Volume × (baseline time − target time) ÷ 60 − monthly monitoring.

If only half the volume benefits from the process, with the same monthly monitoring: 16 h / month

This calculation is a simulation, not a client measurement. Target time includes corrections and review. Time released is not a demonstrated cash saving; it depends on actual volume and adoption.

Costs to compare with the benefit

Cost advice, data preparation, integration, licences, training and maintenance before committing. Price, return on investment and revenue effects must be established for each engagement.

How we would verify the result

Compare both methods on a set separate from preparation examples. Measure total time, corrections, critical errors and actual use. Keep difficult cases in the assessment; suspend if quality or confidentiality deteriorates.

Professional acceptance criterion : No approved duplicates or accepted total mismatches; verify essential fields on a separate test set.

After the pilot

During the 30 days after an approved pilot: review metrics weekly, examine exceptions and decide whether to maintain, correct or expand the scope. This follow-up period is outside the scenario schedule and consulting days.

Before a pilot, define permitted data, access and any supplier reuse. Country-specific and professional rules must be checked for the real engagement.

Background reference: CNIL, using a generative AI system.

Does this sound like your organisation?

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