Campaign
AI for Third-Party Administrators
Botminds reads claim files, policy documents, and supporting evidence so TPA teams process claims faster — with analytics and human sign-off.
The claims paperwork problem
Third-party administrators live inside other people’s documents: claim forms, policy wordings, supporting evidence, and correspondence arriving every day in volumes no team can read carefully at speed. The process stays manual because a claim can’t be adjudicated without understanding what the documents say — and that understanding has been trapped in people’s heads. Botminds applies document AI to the claims workflow so the reading happens automatically: each file in a claim is parsed, its key facts extracted with context and semantics rather than keyword matching, and the relevant policy terms surfaced alongside, so an adjudicator opens a claim that has already been assembled and summarized.
What changes for the claims team
The mechanical work — locating documents, keying data, cross-checking a claim against policy terms — is where the hours go, and it is exactly what the platform removes. Teams cut review time by around 80% and see accuracy improve to the 80–90% range, because extraction is consistent across every file instead of varying with reviewer fatigue. Semantic search finds terms and clauses across the whole document estate with a single query, and legacy files migrate into the same system, so history is searchable rather than archived. The decision itself stays human: the platform prepares the claim and cites its sources; your adjudicators approve the outcome. That division of labor is what makes the speed defensible to carriers and regulators alike.
From claims processing to claims intelligence
Because every claim flows through one platform, the documents become data. Teams build a top-down view of claims patterns directly from the files themselves — document-driven analytics without a separate reporting project — and the extracted intelligence is retained and shared, so the operation responds quickly when conditions change. TPAs compete on service and turnaround; both improve when the reading is instant and the insight is cumulative.