AI across the chain
AI works best where there are many small, similar decisions and plenty of past data.
Models estimate damage from photos and decide repair or replace for each part. Small claims with high confidence are settled at once; others go to a surveyor.
ExampleA customer uploads photos of a dented door, the model estimates ₹14,000 with high confidence, and the claim is approved in minutes.
Optical character recognition (OCR) reads hospital bills and maps items to standard codes. Models route simple pre-auths for fast approval and flag unusual patterns for review.
ExampleA model flags a hospital whose average stay for cataract surgery is three times the norm.
Chat and voice assistants handle routine customer questions. Copilots summarise long documents and suggest next steps for staff.
ExampleAn underwriting copilot summarises a 40-page medical report into key findings before the underwriter decides.
Insurance decisions affect people's money and health, so adverse decisions need human review, clear reasons, a full record of what the model did and lawful use of personal data.
ExampleA model may approve small claims automatically but cannot reject one; every rejection goes to a person.