The 87% vs 27% success-rate gap between Six-Sigma and non-Six-Sigma organisations on agentic-AI deployments reflects pre-existing measurement discipline, not the DMAIC methodology itself. Agents require a clean baseline, defect definition, documented root-cause analysis, and a change-management gate — four conditions that ISO 9001, ITIL, SRE, or HACCP practices produce just as reliably.
Based on Gravitex 87%/27% split, LuckiWi's 82% of Fortune 100 using Six Sigma, Gartner's 7 Apr 2026 finding that 57% of failed I&O deployments cited 'too much too fast'. Claim reframes the causal arrow: the pre-built measurement environment is what matters, Six Sigma is one path that produces it.
Correction log
- 19 Apr 2026Body rewritten from WP-era slop. Status moves from rewrite-in-progress placeholder to Up. New thesis: the causation runs the opposite direction from the vendor narrative — the measurement discipline was the prerequisite, the methodology name doesn't matter. 60-day review.
- 28 Apr 2026Slug migration to §6a-compliant URL: from-dmaic-to-ai-agents-how-traditional-optimization-methods-accelerate-agentic-ai-success → dmaic-for-agentic-ai-deployment. Body unchanged from 19 Apr rewrite, only the URL changed. Old slug 308-redirects to new. Reason: the long descriptive slug carried §6a-grade friction (88+ chars, vendor-cliche framing) and Google's quality algorithm had flagged the original URL as low-quality (per the 28 Apr 2026 GSC drilldown showing it in the 'Crawled - currently not indexed' bucket). The clean slug preserves the analytical content while removing the URL-level quality penalty.
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About this register
The Reporting register tracks claims published from articles addressed to senior enterprise IT leaders — CIOs, IT directors, heads of platform. Claims are reviewed on a 30–90 day cadence; each review either reaffirms the claim, marks one substantive part as Partial, or marks it Not holding once the underlying evidence has been overtaken.
Recent corrections in Reporting
- AM-002 · Not holding · 06 May 2026
URL state changed. The /the-agentic-ai-revolution-real-world-success-stories-and-strategic-insights-from-2024-2025/ slug now serves a deliberately rewritten retrospective (claimId AM-130, "Agentic AI 2024-2025 retrospective", published 04 May 2026) against audited primary sources. The 28 Apr 2026 redirect to /retractions/ has been lifted to allow that. AM-002 the claim remains Not holding — the original $3.50/dollar + 70% failure-rate framing was withdrawn and is not restored. AM-130 is a separate claim with its own evidence chain. Readers arriving at /holding/AM-002 see the withdrawal here; the article link surfaces the new piece at the URL the original lived at, with this entry as the audit trail.
- AM-121 · Holding · 2 May 2026
Klarna walk-back primary-source upgrade — added Siemiatkowski verbatim quotes via Bloomberg-cited-by-Fortune (9 May 2025) and the Uber-style freelance hiring detail via Entrepreneur. Closes the highest-priority evidence gap from the source dossier.
- AM-115 · Holding · 29 Apr 2026
Initial publication 29 Apr 2026 — the first Quarterly Claim Review Bulletin. The claim itself is recursive: it asserts that the bulletin will ship quarterly, and the next review (30 Jul 2026) tests whether the Q3 bulletin actually appeared. Status starts as 'up' because the claim is currently true (the Q2 bulletin shipped). The verdict at end of July 2026 will move to Holding, Partial (bulletin shipped but on a delayed cadence), or Not holding (no bulletin shipped). REVIEW: Peter — please verify claim text + cadence wording before removing rewriteInProgress flag.
Reviews coming up in Reporting
- AM-003 · Holding · next +5d (19 May 2026)
GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…
- AM-136 · Holding · next +21d (4 Jun 2026)
Across the 24-month window May 2024 to April 2026, every major foundation-model provider (Anthropic, OpenAI, Google, AW…
- AM-020 · Holding · next +35d (18 Jun 2026)
The 40-60% TCO underestimate on enterprise agentic-AI deployments is not a cost-visibility failure — it is a cross-depa…