Unsay
An answer-lineage and remediation workspace that traces approved knowledge to delivered variants, confirms affected recipients and records corrective outreach.
Rolling back a support agent's memory stops future use of a wrong resolution but does not correct customers who already received it. The supplied research confirms mature agent-memory rollback components but no reviewed answer-recall product. Two of three required communication capabilities remain unverified.
Unsay records which approved knowledge version supported each delivered response. When a qualified owner declares a resolution wrong, it finds exact descendants and semantic candidates, preserving uncertainty. Support, legal and product owners confirm affected recipients and approve a channel-specific correction.
Knowledge change, recall declaration, lineage match, similarity candidate, recipient confirmation, correction draft, approval, delivery request, acknowledgment, customer response and remedy remain separate. A signed remediation record proves captured actions, not legal sufficiency or that harm was repaired.
The first release should replay one historical answer class with outbound delivery disabled. It excludes automatic blast-radius claims, autonomous outreach, liability conclusions and training on customer content without authorization.
Customer-support, product-risk or legal leader operating AI-assisted support and accountable for correcting materially wrong delivered answers
Lineage and candidate search scale while confirmation and outreach retain human work.
Recall can repair wrong guidance, while false matches can alarm customers or disclose account information.
Agent memory tooling solves future rollback but exposes the downstream recall gap.
The support owner is recognizable, rollback leaves a concrete downstream gap and contemporaneous lineage can compound.
Communication interfaces are mostly unverified, semantic blast radius is uncertain, legal claims require counsel and no structural incumbent barrier is evidenced.
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