FinSenseFINSENSEAFRICA

How ready is your institution for AI?

14 questions across the 7 pillars of the FinSense AI Maturity framework. About five minutes. Instant score on screen. Your full report by email.

  • 14 questions
  • 7 pillars
  • about 5 minutes
  • score on screen
  • report by email

Seven pillars, one question at a time.

Instant score on screen. Your full report by email.

Rate how true each statement is for your institution today, from 1 (Not started) to 5 (Embedded across the institution).

  1. 01AI Strategy & Vision
  2. 02Data Infrastructure & Governance
  3. 03AI Technology & Deployment
  4. 04Talent & Culture
  5. 05AI Governance & Risk
  6. 06AI Use Cases & Business Value
  7. 07Performance Monitoring & Accountability

What your results look like.

A sample of the result you get: one weighted score, every pillar against the 3.5 target, and the three places to start.
3.3AI Maturity Score

Sample · Developing · out of 5

Sample result · Illustrative only

An example organisation at the Developing stage: strong on Strategy and Governance, with its next gains in Talent & Culture.

Your result has exactly this shape: an overall score weighted across seven pillars, each pillar against the 3.5 target, and the three places to start. These sample numbers are made up.

  1. Nascent
  2. Emerging
  3. Developing
  4. Advanced
  5. Leading

Your scores by area

Each bar is out of 5. Each maturity stage has its own shade, from pale (Nascent) to deep (Leading). The dark line marks 3.5, where organisations that scale AI safely typically sit.

  • 01AI Strategy & Vision4.0 out of 5, Advanced
  • 02Data Infrastructure & Governance3.5 out of 5, Advanced
  • 03AI Technology & Deployment3.0 out of 5, Developing
  • 04Talent & Culture2.5 out of 5, Developing
  • 05AI Governance & Risk4.0 out of 5, Advanced
  • 06AI Use Cases & Business Value2.5 out of 5, Developing
  • 07Performance Monitoring & Accountability2.0 out of 5, Emerging
  • Nascent
  • Emerging
  • Developing
  • Advanced
  • Leading
  • 3.5 target

Where to start

  1. 01
    Talent & Culture2.5/5

    Run executive and staff AI training, and give teams a safe sandbox to experiment in.

  2. 02
    AI Use Cases & Business Value2.5/5

    Score candidate use cases on value and feasibility and take the top one or two to production.

  3. 03
    Performance Monitoring & Accountability2.0/5

    Define KPIs for each live AI system and report them to leadership on a fixed cadence.

  4. See where your organisation really stands. Take the test