Claims intelligence
for insurance
operations.
India processes over 250 million claims annually. The bottleneck isn't volume — it's the hours adjusters spend manually reviewing FNOL submissions, cross-referencing policy terms, and pattern-matching fraud signals before making a triage decision. This agent does that in seconds.
Adjusters are buried in FNOL forms
A standard first notice of loss file carries 6–10 attachments — FIR, survey reports, hospital bills, repair estimates, photographs, and witness statements. Reading all of it before making a triage decision takes hours. Actual judgment gets the last 20 minutes.
Fraud signals vanish in the queue
A motor claim filed the day after a 2-month-old policy is issued, for an amount above policy value, by an insured with 3 prior claims — each flag alone is a mild yellow. Together they are a clear refer-to-SIU. Manual review misses the combination.
AI triage with structured fraud scoring
The agent cross-references the primary FNOL signals — policy age, incident type, claim amount, filing delay, and claims history — applies underwriting logic, and produces a structured brief with a fraud score and triage recommendation the adjuster can act on immediately.
Insurers, TPAs, and InsurTech platforms
Built for first-party claims teams, third-party administrators onboarding high-volume portfolios, and embedded insurance platforms where triage speed is a direct cost-of-claims lever.