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

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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 questionQontoDoorDashQuantium
What was rolled outNo source-linked detail in this snapshotNo 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
Business workflow
  • 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
No source-linked detail in this snapshotNo source-linked detail in this snapshot
Reported result
  • 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
  • A separate AWS case study describes Anthropic Claude 3 Haiku in the solution; the quantified 49% transfer reduction and 12% first-contact improvement discussed there relate to DoorDash's earlier Lex/Connect IVR, not a causal result of the new generative-AI assistant.Vendor-reported · Read entry 1
  • AWS and DoorDash say they built the solution in about two months and reduced the need for live-agent assistance.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 basisNo source-linked detail in this snapshotNo source-linked detail in this snapshotNo source-linked detail in this snapshot
Limits and unknowns
  • These are vendor-published customer claims, not independently audited causal estimates across Qonto's entire customer base.Vendor-reported · Read entry 1
No 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

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.

ClassificationQontoDoorDashQuantium
Adoption stageProductionUnknownProduction
Business functionsFinanceNot establishedSoftware Delivery
Outcome categoriesCycle TimeNot establishedCycle Time
Source date2026-09-032024-09-242025-04-03
Add or change entities53 available