Knowledge Matching maps tender requirements to the knowledge library and proposes relevant, quality-assured answer blocks. Every suggestion links to its source. Architecture, storage and isolation boundaries are documented with evidence status during the security review.
Knowledge Matching proposes candidate blocks from the knowledge library for extracted tender requirements. Source, owner and review information are shown where available so the bid manager can verify each suggestion. Architecture, storage and isolation boundaries are documented with evidence status during the security review.
Tendaro ranks candidate blocks using semantic similarity and available metadata. The bid manager checks the requirement, source location, candidate content and current approval status before using a suggestion.
Knowledge Matching is designed to retrieve existing library blocks, not to create a final answer. A reviewer must still confirm that the selected block is current, complete and suitable for the tender.
Supported language behavior, metadata filters and visibility rules are confirmed in the demo and proposal. Isolation and access boundaries are documented for the selected tier during the security review.
Use tracking and analytics scope are confirmed for the selected tier before contract. Bid Pulse can report reused, missing and outdated blocks within that agreed scope.
Knowledge Matching is designed to retrieve candidate blocks. AI Drafting is a separate step, and a responsible person reviews proposed content before it enters a submission.
Owner, review fields and any reminder behavior are confirmed in the demo and proposal. The team remains responsible for approving current content.
Available visibility rules and role scopes are confirmed for the selected tier. Isolation and access boundaries are documented with evidence status during the security review.