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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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 question1PasswordPictetQonto
What was rolled outNo source-linked detail in this snapshot
  • Pictet deployed Claude Code and Claude Cowork across engineering, product, and business teams, with access for about 700 people.Vendor-reported · Read entry 1
No source-linked detail in this snapshot
Business workflow
  • 1Password deployed Codex across planning, implementation, review, testing, and production investigation.Vendor-reported · Read entry 1
  • Pictet deployed Claude Code and Claude Cowork across engineering, product, and business teams, with access for about 700 people.Vendor-reported · Read entry 1
  • Qonto deployed Claude in agents inside its banking and bookkeeping product, using Amazon Bedrock for the more complex steps.Vendor-reported · Read entry 1
  • Qonto's AI Lab also uses Claude Code internally for engineering.Vendor-reported · Read entry 1
Reported result
  • 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
  • Anthropic reports working prototypes built in two hours rather than two weeks in selected examples.Vendor-reported · Read entry 1
  • Anthropic reports bank transfers completed twice as fast, client invoices created in one-third the time, and payroll flows handled five times faster in the described workflows.Vendor-reported · Read entry 1
Measurement basis
  • 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
Measurement basis included in reported result aboveNo source-linked detail in this snapshot
Limits and unknowns
  • 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
  • These examples are not an independently measured bank-wide productivity gain; the compliance comparison is against a projected effort, not a completed control-group baseline.Vendor-reported · Read entry 1
  • These are vendor-published customer claims, not independently audited causal estimates across Qonto's entire customer base.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.

Classification1PasswordPictetQonto
Adoption stageProductionProductionProduction
Business functionsFinance, Software DeliveryNot establishedFinance
Outcome categoriesCycle Time, ProductivityCycle TimeCycle Time
Source date2026-09-082026-09-022026-09-03
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