Finance AI Readiness
How ready is your finance team for AI? Check your data, process, review and controls, see where you stand, and get a practical place to start.
- Who it's for
- Head of FP&A, Controller, FP&A Manager, Finance Systems
- When it helps
- Leadership wants to use AI in finance, but it is unclear whether data, process and controls can support it.
- Before you start
- Working knowledge of your finance systems, how data moves between them, how reporting processes run and any AI data policy. No documents or uploads are needed.
- What you receive
- A score out of 100 across six weighted dimensions, a stage, up to three blockers and three next steps — to choose one priority, name an owner and decide what to check before expanding.
- Not suitable when
- Not an audit, a peer benchmark or a test of a specific workflow; the result reflects only the answers given.
Useful next steps
- Method
- Self-reported answers are scored across weighted dimensions: Use case clarity (15 points), Data & stack readiness (25 points), Process & models (15 points), Governance & control (20 points), People & operating model (10 points), Execution readiness (15 points).
- Stages: Ready to scale (80+), Ready to operationalize (65+), Experimenting with constraints (45+), Exploring (25+), Foundation not ready (0+).
- Limitations
- The assessment is a self-reported diagnostic. Read the total score together with the dimension breakdown, identified blockers and action plan. The result reflects the information you provide, and it does not substitute for testing a particular workflow.
- Use the result to frame a discussion with your team. Confirm material gaps with evidence before changing a live process. The example shown on this page is illustrative and is not a peer benchmark.
- How to start
Select Check my AI readiness and answer the assessment questions about your team.
- Effort
About 8 minutes · 12–13 questions
- Access
Published scoring rules · No email required