The 2026 digital-transformation RFP that includes agentic AI procurement extends the existing 60-question RFP playbook (/the-enterprise-agentic-ai-rfp-60-questions/, 38 Copilot citations) with 15 UX assessment questions across five categories (interaction modes; error-handling and confidence-communication; accessibility against WCAG 2.2 + Section 508 + EN 301 549 + assistive-technology compatibility; multi-user and cross-device continuity; design-system extensibility), producing a 75-question total RFP that the buying committee uses with separate reviewer assignments (UX team plus accessibility office plus design-system stewards review the UX section); the procurement-mature pattern asks the vendor to demonstrate the answers to error-handling, accessibility, continuity, and extensibility questions rather than describe them, surfacing the gaps between strategic narrative and product capability before the MSA negotiation.
Anchored on (a) the existing /the-enterprise-agentic-ai-rfp-60-questions/ playbook the 15 UX questions extend (38 Copilot citations in 3-month window ending 25 May 2026); (b) WCAG 2.2 (latest W3C accessibility recommendation), Section 508 (federal-civilian US accessibility), EN 301 549 (EU accessibility standard); (c) procurement-team observation of UX-dimension gaps in 2025-2026 agentic AI vendor RFPs (the dimension most often surfacing at year-one user-adoption review rather than at RFP). The 15 specific questions are derived from standard enterprise UX-procurement-practice extended to the agentic AI vendor structure plus the 2026 EU AI Act Articles 13 (transparency) and 14 (human oversight) requirements; the question set is not from a published external reference (this is procurement-team practice synthesised into a checklist). 60-day review cadence (26 Jul 2026). Trigger conditions: (1) EU AI Act implementing acts shipping mandatory technical standards on agent-user interaction (Article 13 transparency, Article 14 human oversight) would standardise some of the question set and warrant a refresh moving claim toward Partial; (2) WCAG 3.0 publication and adoption by major customer-side procurement teams would change accessibility-question structure; (3) major vendor announcing a UX-specific certification or audit framework (UX equivalent of SOC 2) would warrant adding a certification question; (4) published independent benchmark of agentic AI vendors against UX assessment framework would harden or weaken the question set the existing playbook does not yet cover. Sibling /the-enterprise-agentic-ai-rfp-60-questions/ is primary playbook (38 citations); AM-167 covers procurement-clause instruments translating question-set output into contractually enforceable MSA terms; AM-181 covers strategic-narrative diligence checklist operating in parallel with RFP question set.
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The claim: The 2026 digital-transformation RFP that includes agentic AI procurement extends the existing 60-question RFP playbook (/the-enterprise-agentic-ai-rfp-60-questions/, 38 Copilot citations) with 15 UX assessment questions across five categories (interaction modes; error-handling and confidence-communication; accessibility against WCAG 2.2 + Section 508 + EN 301 549 + assistive-technology compatibility; multi-user and cross-device continuity; design-system extensibility), producing a 75-question total RFP that the buying committee uses with separate reviewer assignments (UX team plus accessibility office plus design-system stewards review the UX section); the procurement-mature pattern asks the vendor to demonstrate the answers to error-handling, accessibility, continuity, and extensibility questions rather than describe them, surfacing the gaps between strategic narrative and product capability before the MSA negotiation.
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-008 · Partial · 17 Jun 2026
Source-text figure re-review: Google's 2024 Environmental Report reports a 28% year-over-year increase to 8.1 billion gallons, not the 33% (from a 6.1 billion 2023 base) asserted at publish. The 8.1B 2024 figure and the Microsoft WUE 0.30 L/kWh / 39%-improvement figure are unchanged and verified. Article corrected to 28% and the unsupported 6.1B base removed; the claim text retains the original figure with this correction per the Holding-up protocol.
- AM-132 · Partial · 10 Jun 2026
One of four legs unanchored on re-review. The claim text attributes '12% of deployments clearing 300%+ ROI with 88% at or below break-even at 12-18 months' to the Stanford DEL 2026 Enterprise AI Playbook. Full-text verification on 10 Jun 2026 found no such figure in that source: the playbook (Pereira, Graylin, Brynjolfsson, Apr 2026) studies 51 successful deployments by design and contains no ROI distribution, no 300%-plus cohort, and no break-even measurement point (full finding at AM-029, correction of 10 Jun 2026). The only verified figure carrying the same 12/88 numerals is IDC research with Lenovo (via CIO.com, Mar 2025): roughly 88% of AI proof-of-concepts never reach production and roughly 12% graduate — a pilot-to-production graduation metric, not an ROI distribution. The Gartner 28%, McKinsey 23%/17%, and MIT NANDA 95% legs verify; they support a small high-performing tail and a large struggling body, but none documents the two-peak bimodal shape the claim asserts. Status Up -> Partial.
- AM-129 · Partial · 10 Jun 2026
One of three read-against anchors unanchored on re-review. The claim text cites 'Stanford Digital Economy Lab Enterprise AI Playbook (12/88 bimodal ROI distribution at 12-18 months)' and frames the realistic ROI band around 'the highest-discipline 12% cohort'. Full-text verification on 10 Jun 2026 found the playbook contains no 12/88 distribution, no bimodal ROI shape, and no 12-18-month ROI measurement point (full finding at AM-029, correction of 10 Jun 2026). The claim's core negative finding — no mid-market enterprise has produced a documented +240% ROI in 90 days under audited conditions — is unaffected; the McKinsey State of AI 2025 and MIT NANDA legs verify and continue to support it. The '12% cohort' framing has no verifiable referent. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric. Status Up -> Partial.
Reviews coming up in Reporting
- AM-063 · Holding · next +9d (27 Jun 2026)
AI agents executing financial transactions need a four-control bundle (action-approval gates by blast radius, kill-swit…
- AM-061 · Holding · next +9d (27 Jun 2026)
Production agentic-AI costs at scale routinely run multiples of POC projections, and a layered optimisation programme c…
- AM-003 · Partial · next +9d (27 Jun 2026)
GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…