Invariant eQMS Roadmap

Reduce the manual work of turning an incoming complaint into a structured quality record. Direction for review: Extract proposed complaint details from incoming material Suggest a controlled type/subtype and highlight missing information Keep the source evidence connected to the proposed record Require QA review before accepting a classification or taking a quality decision This is planned, not an available workflow or a delivery-date commitment. The current Complaints module supports manual capture and classification; it does not read an inbox or provide complaint-specific AI. Intake channels, data-use terms and evaluation criteria need to be agreed before real-data use. Tell us which complaint channels you handle and which steps consume the most time.

Ask questions of your quality records and audit trail in plain language, scoped to your organization and executed through the same permission-controlled data layer as the rest of the app. Never a raw model-to-database path.

When a CAPA effectiveness check comes due, Invariant pulls the post-CAPA evidence (recurrence, related outcomes, retraining completion) and drafts a conclusion with citations for QA to verify and sign.

Extend the flag-then-review AI pattern across deviations, training gaps, document review, and audit readiness — built into the system of record with an audit trail attached, not a side chat window. Designed to cut review time dramatically while keeping a human in the loop on every decision.