About this webinar
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.
The three workflows tackled
- Streamlining underwriting submission triage: parse a flood of broker submissions (each with its own format), extract risk factors, route to the right underwriter, and clear the backlog.
- Transforming claim registration: get from FNOL (First Notice of Loss) to a registered, structured claim faster — without losing fidelity on the documents.
- Reducing agent onboarding cycle time: collect, verify, and approve the licensing and appointment paperwork that gates a new agent's ability to write business.
Why incumbent tools haven't solved these
- Brittle bots: legacy RPA breaks on document variation — every broker submission and every claim form looks different.
- Black-box LLMs: rolling out an opaque generative model in a regulated environment is not viable. Insurance teams need to know why a decision was made.
- Tribal-knowledge gaps: most of the resolution logic lives in the heads of experienced operators — the “always check this field before approving” kind of knowledge.
How Kognitos and Indium fit together
- Kognitos: neurosymbolic AI automation — LLM-driven extraction wrapped in a deterministic English-as-code runtime that promises “never hallucinate, never misrepresent.” Designed for highly regulated environments where transparency is non-negotiable.
- Indium: global system integrator with 5,000+ associates spanning GenAI, digital engineering, QA, data and analytics, and gaming. Deep delivery footprint to operationalise the Kognitos platform inside insurance carriers and MGAs.
- Joint promise: AI that's safe and scalable inside carriers, brokers, MGAs, and agents — not another point tool that addresses only one slice of the workflow.
Roadmap highlights
- Capturing tribal knowledge from operators as reusable English rules.
- Deeper data search across Kognitos data and data outside Kognitos for decision-making.
- More decision-capture primitives so the AI helps decide, not just extract.
Which insurance workflows does this webinar focus on?
Three: underwriting submission triage, claims registration, and the agent/broker onboarding process. The session is aimed at carriers, MGAs, brokers, agents, and the BPO / shared-service organisations that handle outsourced work for them.
Who are the Kognitos and Indium speakers?
From Kognitos: Joe O'Neal (host) and Chitu (global partnerships). From Indium: Romesh and Jagan. Indium is a global system integrator with 5,000+ associates whose core capabilities span generative AI, digital engineering, quality assurance, gaming, and data & analytics.
Why does Kognitos position itself as “neurosymbolic” for insurance specifically?
Insurance is highly regulated — carriers can't afford to ship a black-box LLM that occasionally hallucinates. Kognitos pairs LLM-driven extraction with a deterministic symbolic runtime so every decision is transparent and reproducible, which is the bar regulated carriers actually need.
What's on the Kognitos roadmap for insurance based on this webinar?
Capturing tribal knowledge from operators as reusable English rules, deeper data search across both Kognitos data and external data, and more decision-capture capabilities so the platform helps make decisions in addition to extracting and routing.