Brisc AI is positioned as an AI back-office platform for the insurance industry, with its core product being AI Analysts for MGAs, insurance companies, and reinsurance companies. Its goal is to automate insurance back-office work that is still performed manually, covering scenarios such as cash reconciliation, statement processing, submission entry, and claims.
Main capabilities The platform provides multiple dedicated AI Analysts:
- Reconciliation Analyst: Handles cash reconciliation and bank reconciliation for premium income and claims expenses, and generates capability statements.
- Bordereaux Analyst: Handles premium, risk, and claims bordereaux, supports input in any format, and outputs in the customer's format.
- Submissions Analyst: Converts submissions from broker correspondence into structured, validated risk data.
- Claims Analyst: Reads each claims notice, opens records, and processes claims lists.
- Reinsurance Accounting Analyst: Handles reinsurance technical accounting, converts ceded statements into cash calls, and verifies them against contracts before posting or payment.
How to use
The platform emphasizes being "evidence-driven": every output comes with the reasoning process and source files, matching is layered based on rules, tolerances, and confidence, and the AI only argues borderline cases rather than deciding match results. Routine volumes are automatically cleared, and uncertain lines enter a queue for manual review. Deployment requires no re-platforming or migration; on day one, files such as bank statements, statements, and broker bordereaux can be uploaded, producing CSVs with evidence; afterward, it can run in parallel with existing processes for one month; once the data is trusted, matched cash can be automatically written back to the policy administration system (PAS) and general ledger (GL), typically going live within 2 to 6 weeks.
Applicable scenarios It is suitable for repetitive work in insurance back offices that still relies heavily on manual effort, such as cash allocation, statement format conversion, submission entry, claims record opening, and reinsurance accounting verification. The platform does not replace the policy administration system; PAS remains the system of record, and Brisc only writes back matched cash and the evidence chain.
Limitations and notes Materials show that matching accuracy is about 80% on day one and can improve to 92% to 95% after about 90 days. Each customer runs in an isolated tenant, data is not used to train models, and audit trails can be exported. The team is a second-time startup, self-funded, with no PE or VC, and has been in production use at Helix Underwriting Partners, is SOC 2 Type II certified, and is deployed on Microsoft Azure. Regarding specific pricing, more customer cases, or detailed feature limitations, the materials do not currently provide them.