AI Maturity Self-Assessment

Where are you on
the AI maturity curve?

Most organisations overestimate or underestimate their own AI maturity — which leads to either reckless deployment or years of stalled pilots. Find your honest starting point below.

Select the stage whose signals sound most like your organisation today.

01

Exploring

  • A few teams experimenting with ChatGPT or Copilot
  • No formal AI budget or owner
  • No governance or usage policy yet
02

Piloting

  • 1–3 AI pilots running in non-critical workflows
  • An AI champion or small team, but no enterprise mandate
  • Pilots rarely make it to production
03

Scaling

  • 2–5 AI systems live in production
  • A defined MLOps and governance process
  • AI budget owned by a named executive
04

AI-Native

  • AI embedded across core operations, not bolted on
  • Continuous monitoring, retraining, and bias auditing as standard practice
  • Agentic systems handling multi-step workflows autonomously, with human oversight

Want a formal assessment instead of a self-check?

Our AI Readiness Assessment — the first pillar of our transformation framework — gives you a data-backed maturity score and priority matrix in two weeks.