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S-2026-07-22-domino-enterprise-ai-report

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Domino Data Lab — Fifth Annual Enterprise AI Report (July 2026)

Tag: S-2026-07-22-domino-enterprise-ai-report Type: report (vendor-commissioned survey; ingested via Computer Weekly analysis) Author(s): Domino Data Lab / BARC Research (fieldwork); Computer Weekly analysis by Adrian Bridgwater; quotes Thomas Robinson (COO, Domino) and Shawn Rogers (CEO, Barc US) Date of source: 2026-07-22 (PRNewswire release date; CW analysis w/c 20 Jul, page seen 28 Jul) Date ingested: 2026-07-28 Authority weight: medium — vendor-commissioned but independently fielded (BARC Research) with published methodology; figures self-reported by respondents; full report gated and not read; ingested via a full fetch of the Computer Weekly analysis rather than the primary release (provenance-blocked) Raw file: S-2026-07-22-domino-enterprise-ai-report in /_raw_sources/

What it claims

Domino’s Fifth Annual Enterprise AI Report (survey of 639 senior enterprise AI leaders, director+ at organisations ≥$100M revenue, fielded April 2026 by BARC Research across North America (397), UK (148) and continental Europe (94); sectors: financial services & insurance, life sciences, public sector) finds:

  • ROI plateau: 57% of enterprises say AI ROI fails to outpace investment — unchanged since 2025 — even as 93% report improved production capability (up from 88%). The report frames a “last-mile gap” between models in production and business users able to act on them.
  • Agentic governance split: 43% of organisations have agentic AI running in governed production, while 41% are piloting (12%) or scaling (29%) agentic AI without the governance to manage it — scalers outnumber piloters >2:1.
  • Governance maturity as the dividing line: where governance fully keeps pace, 67.5% reach governed agentic production vs 17.2% where it only partially keeps pace — fully governed organisations are 3.9x as likely to reach governed agentic deployment; fully integrated governance correlates with 75% reporting significantly improved delivery velocity vs 23% where governance falls behind.
  • FS leads: financial services, banking and insurance “lead every vertical measured on both governance maturity and production velocity. The enterprises succeeding here built governance infrastructure first, then scaled.”
  • Regional gap: Europe has the lowest fully-integrated-governance rate (42.6% vs ~51% NA/UK); nearly half of European organisations pilot/scale agentic AI ungoverned (vs 40% NA, 38% UK). North America is likeliest to report no direct business-user access to AI insights (12.8% vs 1.4% UK, 6.4% Europe).
  • Expanding agentic AI ties with upskilling business users as the top 2026 organisational priority (38.5% each), outranking investment in the governance infrastructure meant to manage agents.

Notable quotes

  • “The real milestone is the moment a business user can act on what the model found and for too many enterprises, that moment still isn’t happening at the pace or scale of business and with the governance regulated industry requires.” (Thomas Robinson, COO)
  • “Financial services, banking and insurance organisations… lead every vertical measured on both governance maturity and production velocity. The enterprises succeeding here built governance infrastructure first, then scaled.” (CW relay of report)
  • “Govern early and build the applications that turn AI into something business users can actually use.” (Shawn Rogers, Barc US)

What’s speculative vs. asserted

  • Asserted (survey findings, self-reported): all percentages above; methodology as published.
  • Interpretive framing by source: “governance maturity is the clearest dividing line”; “built governance infrastructure first, then scaled” (causal direction is the source’s reading of a correlation — the survey design cannot establish causation).
  • Vendor positioning: the closing product paragraphs (Domino “provides the governance layer agentic deployment requires”, agents as “managed, auditable entities”) are marketing, not findings.
  • Not seen: the underlying vertical/regional tables (report gated); the FS “lead every vertical” claim rests on the CW relay.

Topics this feeds

  • AI Governance Maturity Gap — adds a multi-region, FS-inclusive agentic-governance cut: the 41%-ungoverned figure, the 3.9x/3x governance-dividend correlations, the FS-leads finding and the Europe shortfall.
  • Model Risk Management and Agentic AI — the governed-vs-ungoverned agentic production split is context for agentic MRM (cross-link only this run).

Open questions raised

  • Is the governance→velocity relationship causal or selection (better-resourced firms do both)? The source asserts direction (“built governance first, then scaled”) beyond what a survey can show.
  • Does the FS “leads every vertical” finding hold within the EU/UK FS subset specifically, given Europe’s 42.6% fully-integrated-governance rate — i.e. is FS’s lead driven by North American institutions?
  • How does “fully integrated AI governance” as a self-reported category map to any external benchmark (SS1/23, EU AI Act readiness, ISO/IEC 42001)?

Sources

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