Insurers tend to lose ROI in the same places: underwriting slows down on fragmented data and manual reviews, claims processing gets bogged down in exceptions and rework, and fraud teams spend too much time chasing noise

FlowX.AI tackles this with pre-built insurance agent stacks that plug into your existing systems and automate governed execution

For example: Insurance Underwriting - intake and validate submissions, assemble risk context, draft explainable recommendations, escalate exceptions; Claims Processing - capture FNOL, validate documents and coverage, keep cases moving with auditable decision trails; and Fraud Detection - triage alerts, connect entities and behaviors, build evidence packs, and route high-risk cases

Go live with agents in weeks and then scale across other workflows, driving outcomes like faster and auditable processes, reduced leakage, and automation of handoffs