Copilot Promise Ledger for SaaS Support Ops

When a SaaS support team deploys Intercom Fin, Decagon, Sierra, or Ada, the vendor's dashboard reports a rosy auto-resolution rate. What the head of support ops cannot independently see is whether the copilot's customer-facing commitments — 'we'll fix this by Friday', 'I've escalated this', 'refund processed' — actually land in Zendesk reality. The vendor sells the headline number; the ops lead absorbs the SLA breaches and CSAT damage when promises don't hold. Copilot Promise Ledger is a thin overlay on Zendesk/Intercom/Front: the ops lead flags copilot replies containing commitments (or imports the vendor's reply category), and the ledger waits for the resolution event (ticket close, CSAT score, SLA breach log) and grades each promise against reality. After 4–8 weeks, the lead has a miss-pattern catalog by commitment type — informing renewal negotiations and prompt-tightening asks. AE is uniquely suited: the 6-pattern autopsy taxonomy clusters recurring failure modes (e.g. temporal blindness on date promises), the sub-24h grading loop matches the 3–14 day ticket resolution window, and ground truth lives in Zendesk — no rubric subjectivity, no internal trace access.

As AI copilots become table stakes in SaaS support, an independent reality-graded ledger of copilot promises is the natural buyer-side instrument — and AE's prediction-grading taxonomy is already the right shape to build it.

Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). ⚠ 4 load-bearing contradiction(s) found. Real trust gap and clean AE-fit, but no observed buyer and episodic-vs-recurring tension unresolved — run Week 1 outbound before building.