Q1. How would you best describe your current insurance core systems?
Q2. Is your policy issuance, servicing, and endorsements journey integrated with AI or intelligent decisioning tools?
Q3. How modular and scalable is your current digital infrastructure to integrate new-age technologies like AI, IoT, or telematics?
Q4. Where are you actively applying AI in your insurance value chain? (Select all that apply)
Q5. Are you using AI/ML to dynamically personalize product recommendations or coverage offerings?
Q6. How automated are your claims adjudication and settlement processes with AI assistance?
Q7. Do you leverage AI for predictive analytics on customer behavior, retention, and claims forecasting?
Q8. Do you have a centralized, real-time data ecosystem that enables AI-based decision-making across the organization?
Q9. Is your operational data continuously updated and used to retrain AI models or refine decision engines?
Q10. How seamlessly can your systems ingest external data sources (third-party risk scoring, telematics, IoT) to enhance underwriting or claims decisions?
Q11. Is AI adoption embedded across business units (underwriting, claims, distribution) as a part of standard processes?
Q12. How would you rate your leadership team’s alignment and investment in AI-driven innovation?
Q13. What percentage of your insurance workflows today are powered or enhanced by AI?
Q14. Do you have a formal AI innovation roadmap or CoE (Center of Excellence) to scale AI adoption in the next 2–3 years?
Q15. Are you actively exploring emerging AI models (Generative AI, LLMs) to further accelerate underwriting, claims, or fraud investigations?
