Executive Impersonation Escalation Gate for Support Teams

A pre-send interrogation gate for support and trust-and-safety leads at 50-300 person SaaS companies handling high-risk customer requests over email or ticketing. The artifact is a manually entered escalation commitment such as 'approve payout change', 'reset MFA for CFO account', or 'accept executive-authorized billing change' when the request depends on voice note, video, or image evidence that may have lost provenance in transit. The pain is not generic fraud detection; it is the last-mile decision problem after content has been forwarded, transcoded, screenshotted, or stripped of metadata, leaving frontline operators to make externally consequential commitments without a durable challenge process. AE is suited because this is a structured evaluator workflow with short resolution windows and repeated miss patterns: its adversarial multi-model debate can generate challenge questions before approval, while its constraint language tracks which evidence conditions, concessions, and escalation rules should promote, demote, or kill approval. Over time it builds a miss-pattern ledger of which impersonation cues and approval shortcuts preceded reversals, fraud losses, or customer-impacting mistakes.

Best case: this is a sharp, high-value decision gate where AE’s structured interrogation and reality-graded learning can materially reduce costly executive-impersonation mistakes for mid-market SaaS support teams.

Killed: move_cap_reached.