Kognitos and Indium on streamlining underwriting submissions, claims registration, and the agent/broker onboarding backlog — with neurosymbolic AI that doesn't hallucinate.
A joint Kognitos and Indium webinar focused on three of the most persistent backlog hotspots in the insurance industry — submission triage and underwriting, claims registration, and agent/broker onboarding. Presented for carriers, MGAs, brokers, agents, and BPO / shared-service organisations.
How insurers and financial-services firms are finally clearing their submission, claim, and onboarding backlogs using agentic AI — including the deterministic policy, document AI, and conversational exception handling that earlier automation attempts lacked.
Each involves unstructured documents, judgement calls, regulated decisions, and a high exception rate — exactly the work RPA, OCR, and rule engines underperform on. AI agents with deterministic policy and audit address this.
Reads submission packs (any format), classifies, extracts, validates against your appetite and risk rules, routes to underwriting with a clean decision pack, and chases broker for missing info — all in plain English with evidence-grade audit.
Typical numbers: 50–80% reduction in backlog touchpoints, days-to-quote shortened materially, lower expense ratio, and risk-officer-friendly evidence per decision.
Most pilots are live on a slice of the backlog in 4–6 weeks. Programme rollout across full claims, submissions, and onboarding queues typically takes 6–12 months sequenced by ROI.