A contract engagement building AI-assisted tooling for healthcare payer network contracting: clause detection and risk scoring against a policy library, redline and review workflows, e-sign and CRM integrations, and role-based access with audit logging for teams managing large volumes of provider contracts.
The domain problem
Healthcare payers manage huge volumes of provider contracts, each running through negotiation, redlines, signature, and periodic amendment. Doing that by hand at scale means slow cycle times and inconsistent risk review: the same risky clause language can slip through in one contract and get caught in another, depending on who happens to be reviewing it that week.
What was built
Contract lifecycle infrastructure
- Versioned artifact store for contracts and attachments, with diffing across draft, signed, and amendment stages
- Workflow orchestrator for states, transitions, SLAs, approvers, and escalations
- Threaded review/redline UI with per-version resolution tracking
- e-Sign relay across common providers, with webhook handling and retry logic
- Two-way CRM sync for keeping contract status aligned with the sales/relationship system of record
AI contract analysis
- Clause detection and extraction: parsing and classifying clauses like indemnity and termination language
- Risk and variance scoring against an internal policy library, with flags on risky language and suggested alternatives
- An explainability panel that cites the exact source text behind every AI flag, with an approve/override workflow
- A change-impact analyzer that diffs two contract versions and summarizes the legal/financial delta
- Grounded contract Q&A: a retrieval-augmented assistant restricted to a given document set, so answers can't wander outside the actual contract
Foundations
RBAC and multi-tenant auth, an immutable audit log with export for compliance, dynamic intake forms for structured data capture, and a metrics pipeline for SLA dashboards underpin all of the above.