12 expert-engineered AI prompts on getting your financial master data migration-ready — and keeping it that way.
S/4HANA does not fix data problems. It accelerates them. A duplicated vendor, a stale GL account, a profit centre nobody owns — they all migrate. Once they are in the new system, every report and every close is built on top of them. The cheapest time to clean financial master data is before the migration starts. The most expensive time is the first hard close after go-live.
These 12 prompts walk a finance team through the data cleanse work in plain language — what to inventory, what to rationalise, what to retire, and how to set up the governance so it stays clean.
List every finance master data object and its owner.
Find the accounts you no longer post to.
Inactive cost centres, owners who left, hierarchies that drifted.
Aligning profit centre structure with how the business actually reports.
Duplicates, blocked vendors, missing tax data.
Credit limits, payment terms, dormant accounts.
Live, dormant, closed — and what each implies for cutover.
AR, AP and GL open items going into migration.
Useful life, depreciation areas, parallel ledger alignment.
A single page the project board can read.
Who approves what, while the project is running.
How master data ownership works in S/4HANA.
Whose organisation is planning or has started an SAP R/3 to S/4HANA upgrade in the next one to three years and needs to arrive at project meetings as an informed voice.
Who will carry the day-to-day workload of supporting the project while keeping the finance function running — and need to know what is coming before it arrives.
Who want to understand what is changing, protect their team through the transition, and use AI practically from day one of the project.
Preparing for internal workshops on upgrade readiness — these prompts provide the structure and agenda, not just the questions.
Each prompt has been engineered to give AI the right context, role and constraints to produce specific, actionable responses — not generic output that could apply to any organisation.
Every prompt instructs the AI to respond in finance terms — debits, credits, close cycles, management accounts. Not technical consultant language that leaves finance teams none the wiser.
Run a prompt before an internal workshop and you have an agenda. Run several in sequence and you have the raw material for a board report. These prompts structure thinking, not just questions.
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