Vendor QBR Promise Ledger for Multi-Vendor IT Operations & Vendor Management Leads

In-house vendor management / IT operations leads at 200-2000 person companies oversee 5-15 outsourced operations vendors (MSPs, managed SOCs, managed cloud, outsourced helpdesk, BPO, RPO). Each vendor delivers monthly or quarterly QBRs dense with narrative-heavy, hedged promises: 'P1 MTTR will drop 35% once the shift-left model lands in Q2', 'SOC alert fidelity will improve 40% after tuning, assuming log volume stabilises'. The buyer enters each commitment into the ledger before accepting the QBR; AE's structured constraint language plus adversarial multi-model debate force vague hedges into testable specifics (metric + target + deadline + stated condition). 4-8 weeks later, ServiceNow / Jira / ticketing actuals are pasted in. AE grades each prior commitment hit/miss/partial and the 6-pattern autopsy categorises the miss narrative — Concession Laundering when 'learnings' replace numbers, Epistemological Shielding when blame shifts to 'scope creep', Cosmetic Confidence on next-quarter restatements. After 2-3 cycles the buyer has per-vendor calibration scores defensible across a £500K-£5M annual outsourced-ops portfolio at contract renewal.

AE weaponises its prediction-grading and autopsy stack against vendor QBR hedging — a real, budgeted, under-tooled pain point — and the unit economics map cleanly onto a UK solo commander's £100-300K target.

Still in evaluation (phase: ranked). No verdict yet.