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Enterprise AI Adoption

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

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Choose 2–4 entities for a side-by-side matrix. Unknowns stay visible instead of being inferred.

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✓ Tecban✓ AWS✓ Pictet✓ Quantium
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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 questionTecbanAWSPictetQuantium
What was rolled out
  • Microsoft's customer story says Tecban adopted Microsoft 365 Copilot and GitHub Copilot, recorded 98 use cases, completed 35, and onboarded more than 3,000 users.Vendor-reported · Read entry 1
No 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
  • 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
Business workflow
  • The case illustrates scaled adoption in a regulated banking environment, not a controlled causal estimate of Copilot's impact.Vendor-reported · Read entry 1
No 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
Reported resultNo source-linked detail in this snapshotNo source-linked detail in this snapshot
  • Anthropic reports working prototypes built in two hours rather than two weeks in selected examples.Vendor-reported · Read entry 1
  • The story says one bid-writing workflow cut work time by up to 90%.Vendor-reported · Read entry 1
Measurement basis
  • The story also reports an estimated 30% development productivity gain and 14% testing gain.Vendor-reported · Read entry 1
No source-linked detail in this snapshotMeasurement basis included in reported result aboveNo source-linked detail in this snapshot
Limits and unknownsNo source-linked detail in this snapshotNo source-linked detail in this snapshot
  • 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 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

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.

ClassificationTecbanAWSPictetQuantium
Adoption stageProductionUnknownProductionProduction
Business functionsNot establishedNot establishedNot establishedSoftware Delivery
Outcome categoriesProductivityNot establishedCycle TimeCycle Time
Source date2026-06-022026-04-282026-09-022025-04-03

Tecban

AWS

Pictet

Quantium

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