AI Portfolio Claim Auditor for product engineering managers before board reviews

A subscription tool for product engineering managers governing 2-6 shipped internal AI features at 30-150 person B2B SaaS companies. Instead of pasting telemetry, the manager pastes the *documents they are about to expose upward*: the draft QBR slide claims ('our AI ticket router is saving 14 FTE-hours/week'), the postmortem of last quarter's drifted agent, the pre-ship brief for the next agent, and the supporting evidence they're attaching (one-paragraph PM summaries, screenshot of the dashboard, a user-complaint Slack thread). AE's adversarial council grades each claim-document against its evidence using the 6-pattern autopsy taxonomy — flagging Cosmetic Confidence in the QBR slide, Concession Laundering in the postmortem, Premise-Conclusion Severing between dashboard and stated outcome. The manager gets a revision before the CEO sees the deck. Resolution event is the board/budget review verdict on each claim within 4-12 weeks. AE evaluates rich text artifacts — exactly what its taxonomy was designed for — never raw aggregate numbers in isolation.

AE's autopsy taxonomy is uniquely suited to grading the claim-document artifacts product managers must defend at board reviews, a recurring high-stakes pain with an objective resolution event that closes AE's feedback loop.

Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). Real pain, structurally wrong loop — 7-day artifact-upload test must clear confidentiality and resolution-lag before any build.