Interlock Labs provides an independent evidence ledger for healthcare organizations that use AI to automate decisions. The platform records inputs, governing rules, workflow versions, and outcomes for each decision, creating a verifiable audit trail that supports clinical, legal, regulatory, and insurance requirements. It enables teams to automate expert work while maintaining insurable risk coverage.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations deploying AI decision-making face a critical gap: when an AI system makes a decision, there is no independent, verifiable record of what input was used, which rules applied, and what outcome was produced. Without this evidence, organizations cannot fully automate workflows because they must retain human review to manage legal, regulatory, and insurance risk. Scattered logs and reconstruction efforts are insufficient for audit and compliance purposes.
Solution
Interlock Labs creates an independent evidence ledger that verifies AI decision workflows and builds a complete audit trail for each decision. The platform allows healthcare teams to scope a bounded decision process, apply expert-defined rules as ground truth, and replay historical cases through the same rules and workflow version. For every decision, Interlock records the input, governing rule, workflow version, and outcome in a standalone record that does not require reconstruction from scattered logs. This enables organizations to automate expert work while keeping the risk covered for clinical, legal, regulatory, insurance, and compliance teams.
Target Audience
Primary customers are healthcare organizations—including clinical, legal, regulatory, insurance, and compliance teams—that are automating decision processes and need independent evidence to manage risk and satisfy audit requirements.
Features
- Independent decision record capturing input, governing rule, workflow version, and recorded outcome for each AI decision
- Rule-verification engine that checks historical cases against expert-defined clinical policy sets
- Workflow versioning to ensure reproducibility and traceability across decision iterations
- Replay capability that runs past decisions through the same rules and workflow version for validation
- Evidence ledger designed to support insurability and compliance requirements for automated decision-making