The 2026 buying-committee diligence on an agentic AI vendor's strategic narrative resolves on seven proof points (named-customer references with segment-level revenue contribution; model-vendor relationships disclosed in the MSA at contractual rather than press-release level; engineering team tenure and turnover pattern as a leading indicator of narrative-product disconnect; post-revenue-recognition product-roadmap evidence comparing 12-month-prior commitments against 12-month actual ship; regulatory disclosure cadence covering SOC 2 Type II, ISO 27001 surveillance, sector-specific certifications, and public incident disclosure record; executive incentive structure as a structural read on what the vendor's leadership is trying to achieve over the 3-year MSA horizon; public technical-content cadence as downstream evidence of engineering depth); the pattern across roughly 30 vendor diligence cycles surfaced in 2025-2026 is consistent (vendors pass proof points one and two easily, fail or partially fail proof points three through five, split on six and seven); the buying committee that walks all seven systematically before the technical-feature comparison produces a structurally different diligence output and a 30-60% short-list reduction relative to the buying committee that anchors on the narrative alone.

Anchored on procurement-team observation across roughly 30 agentic AI vendor diligence cycles in 2025-2026 (hyperscaler offerings, model-vendor enterprise tiers, specialist platforms in CRM/security/observability/procurement). The pattern observation is not from a published independent survey; the customer-side observability into the seven proof points is variable across vendors and the 'roughly 30' is a procurement-team count not a research sample. The proof-point framework itself is derived from standard enterprise procurement-diligence practice extended to the agentic-AI vendor structure. 60-day review cadence (26 Jul 2026). Trigger conditions: (1) major published industry-wide diligence study (Gartner, Forrester, IDC) on agentic AI vendor execution against narrative would harden or weaken the proof-point framework and move the claim toward Partial; (2) published case study of a 2026 enterprise procurement that failed at year-two renewal because of narrative-product disconnect provides concrete precedent; (3) major vendor consolidation event (acquisition, exit, restructuring) in the 2026 agentic AI tier changes executive-incentive proof point materially; (4) regulatory requirements (EU AI Act implementing acts, NIST AI RMF profile guidance) prescribing specific vendor disclosure obligations standardise some of the proof-point evidence customer currently has to extract. Sibling AM-167 covers procurement-clause instruments translating diligence output into enforceable MSA terms; AM-176 covers architecture-level vendor-comparison work the diligence checklist tests; AM-178 covers framework-tier decision the diligence work feeds into.