Bot-Promise Slip Triage for B2B Support Operations

A daily morning ledger that surfaces every customer-facing commitment a bot agent (Intercom Fin / Zendesk AI / Decagon / Ada) made in the last 24-72 hours that is now at risk of breach, before the customer escalates. Buyer is the support ops lead at a 50-300 person B2B SaaS running one of these bot agents on inbound tickets. The bot constantly promises resolution dates, refunds, escalations, or engineering involvement it cannot guarantee, and the human team only finds out when the customer comes back angry. The product consumes the bot platform's structured event log (deadline_promised, refund_offered, escalated_to_human — manually tagged once at setup as commitment categories), runs AE's adversarial multi-model debate to challenge each event against current ticket state and historical similar-ticket resolution patterns, then ranks tickets by breach probability. The lead works the top 10 each morning, salvaging the customer before NPS damage. Outcome ground truth resolves within 3-14 days as tickets close, closing AE's grading loop on real reality — not on a vendor's self-rating of its own bot.

Bot agents make promises their humans cannot keep; AE's adversarial-debate + reality-graded grading is uniquely shaped to rank breach risk before NPS damage, and the buyer, integration, and price all fit a solo UK evenings-and-weekends operator.

Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). Real structural pain, but extraction premise unvalidated and GTM fit hostile to introvert solo founder — needs 7-day signal check before commit.