AI adoption specialist for insurers
AI Adoption Diagnostic
A structured check against the three conditions that make AI adoption stick: sponsorship, workflow redesign and reinforcement, tailored to where your organisation actually is right now. Answer a few quick questions and get a scored view of where things stand, plus the one thing worth fixing first. It will just take five minutes.
- 1A couple of quick context questions, so the rest is relevant to you.
- 2Twelve statements, scored against the three pillars.
- 3A scored breakdown, and the one thing worth fixing first.
Where things stand today
Choose one answer for each question above to continue.
Answer all four statements above to continue — the unanswered one is outlined.
What's the gap worth?
Two quick numbers to estimate what closing your adoption gap is worth. Edit them if you know your own numbers.
Add the internal day rate to continue.
See your results
Your scored breakdown, plus the one pillar worth fixing first.
Add your name, a valid work email, and your company to see your results.
Most insurers at your stage score around —% on .
Estimate based on illustrative assumptions, assuming a 40-percentage-point improvement in adoption. We'll replace these with your real numbers based on consulting discussion.
At your team size, the case is about capability and speed, not headline savings. Worth a conversation.
You're in the top tier. The two things that most often unpick strong adoption from here are version-change fatigue and champion burnout, both worth a conversation about protecting what you've built.
We'll turn this into a specific plan for your , drawn from what's worked inside insurers. No pitch, you leave with a next step either way.
Prefer to keep this for later?
Based on your responses and the assumptions shown, these figures are illustrative estimates for discussion purposes. This is not a formal audit, forecast or guarantee of outcomes.