Agentic AI 2024-2025 produced four distinct classes of evidence the 2026 procurement reader should not collapse into a single 'AI is working' narrative: (1) vendor-published wins inside vendor-controlled environments (ServiceNow internal 90% L1 deflection, framed by Nenshad Bardoliwalla as upper bound conditioned on two decades of structured workflow data the customer does not have), (2) audited customer pilots with active human oversight (BT 35% case-resolution improvement with random checks per Hena Jalil; UK Government Digital Service 26 minutes/day saved across 20,000 staff in Q4 2024; HMRC 28,000-staff M365 Copilot rollout April 2026), (3) public walk-backs (Klarna May 2025 Bloomberg-reported reversal of the 700-agent claim while the original press release stayed live; GitHub Copilot April 2026 token-counting bug; Salesforce Agentforce IT 200-customer reality vs Marc Benioff's launch pitch), and (4) structural failure modes (CRMArena-Pro 35% multi-step agent reliability finding; Carnegie Mellon independent verification at 30-35%; EchoLeak CVE-2025-32711 cross-agent prompt-injection class). Each class produces a different procurement lesson; treating them as one narrative is the most common 2026 enterprise mistake.

URL-equity restoration of /the-agentic-ai-revolution-real-world-success-stories-and-strategic-insights-from-2024-2025/ — previously retired (the original WordPress-era piece used fabricated Sarah-and-her-AI-agents-style protagonist case studies), but Bing Webmaster AI Performance data 2026-04-21 → 2026-05-02 showed 22 citations on this URL across 12 days (fifth-highest cited URL). The retraction broke the AI-citation chain for the 'enterprise AI ROI case study' query family. New editorial-standard piece at the original slug preserves the URL while replacing fabricated case studies with named primary-source customer evidence (BT, UK GDS, HMRC, ServiceNow internal, Klarna, Datadog 10-Q risk disclosure). Slug warnings (slug-too-long 90 chars, slug-contains-date) are accepted as the intentional AI-citation preservation trade-off per Peter's Option A decision 2026-05-04. Sister claims: AM-029 (Stanford 12/88), AM-053 (McKinsey 17%), AM-121 (AI in IT operations reality check), AM-045 (EchoLeak class). Cadence 60-day. Trigger conditions: additional named-customer audit publications; further documented walk-backs from major 2024-2025 case studies; new structural failure-mode evidence from research arms (Salesforce AI Research, CMU, MITRE ATLAS).