The main challenge is that agentic AI is trained on public data and does not understand your company’s specific exceptions, detours, and workflows. Your top underwriters make decisions in ways that generic models cannot replicate, creating a knowledge gap. Skan AI trains agents on your enterprise first-party data so they perform like your best underwriters.

It often fails because companies layer automation on top of existing processes without understanding them first. In fact, 66% of technology projects fail for this reason. Without mapping current workflows, automation cannot target the real bottlenecks. Skan AI’s digital twin technology identifies inefficiencies and prioritizes automation opportunities that deliver quick, measurable savings.

Only once you have clarity on what to automate and can forecast the ROI of those changes. This requires a detailed view of your current workflows and their improvement potential. Skan AI helps continuously identify the highest-value automation opportunities, so the investment delivers measurable returns.

Skan AI works without backend integrations by capturing real-time workflows across your digital interfaces. This means zero integration, no lengthy data engineering projects, and complete workflow visibility within weeks.

Skan AI analyzes only metadata, and all member information stays in your systems. We work only with approved applications, hide sensitive details with custom redaction, and data always remains inside your servers. Identities are masked, and you choose exactly what we can see to protect PII and stay compliant.