Living landscape

Enterprise AI Adoption

Explore documented AI business activity, including adoption, partnerships and deployments—and see what each source actually establishes.

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What the wiki can establish

Evidence gaps remain visible as “Not established” instead of being filled by inference.

Use this matrix to compare published evidence—not to rank organisations or products. Each detailed claim links to its supporting wiki entry. Documented means that a source reported it, not that the wiki independently verified a causal outcome.

Business questionNetAppQuantium1Password
What was rolled outNo source-linked detail in this snapshot
  • It reports that 89% of team members use AI daily, but does not establish that all of those users use Claude each day.Vendor-reported · Read entry 1
No source-linked detail in this snapshot
Business workflowNo source-linked detail in this snapshotNo source-linked detail in this snapshot
  • 1Password deployed Codex across planning, implementation, review, testing, and production investigation.Vendor-reported · Read entry 1
Reported resultNo source-linked detail in this snapshot
  • The story says one bid-writing workflow cut work time by up to 90%.Vendor-reported · Read entry 1
  • Its OpenAI customer story reports a 20.9% productivity improvement for a core engineering cohort and a 10.9% reduction in median pull-request cycle time.Vendor-reported · Read entry 1
  • For its Finance AI Hackathon, 1Password says 90 team members built 21 agents and that those agents save the team 5–10 hours per person per week.Source-reported · Read entry 1
Measurement basisNo source-linked detail in this snapshotNo source-linked detail in this snapshot
  • The company estimates a 553% ROI and about $784,000 of annual engineering capacity for a modelled group of 50 consistent users.Vendor-reported · Read entry 1
  • The ROI is modelled, not a realised cash saving or an independently verified causal effect.Vendor-reported · Read entry 1
Limits and unknownsNo source-linked detail in this snapshot
  • These are vendor-published accounts of specific workflows, not independently measured productivity across Quantium.Vendor-reported · Read entry 1
  • The page does not provide a detailed measurement protocol or prove Claude alone caused the changes.Vendor-reported · Read entry 1
  • It reports that 89% of team members use AI daily, but does not establish that all of those users use Claude each day.Vendor-reported · Read entry 1
  • Expansion to finance and marketing is described as a rollout, but the published productivity figures concern engineering and should not be generalized to those teams.Vendor-reported · Read entry 1
  • The ROI is modelled, not a realised cash saving or an independently verified causal effect.Vendor-reported · Read entry 1

Not directly comparable: reported results may use different measures, populations, baselines, methods or dates. Read each measurement basis and source before drawing a conclusion.

Snapshot classificationsContext, not cited per-cell claims

These classifications summarise each entity dossier; they are not individually cited claims. Open a linked claim above for source-specific detail.

ClassificationNetAppQuantium1Password
Adoption stageUnknownProductionProduction
Business functionsNot establishedSoftware DeliveryFinance, Software Delivery
Outcome categoriesNot establishedCycle TimeCycle Time, Productivity
Source date2026-10-012025-04-032026-09-08
Add or change entities53 available