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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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✓ Pythian✓ DoorDash✓ Qonto✓ PwC
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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 questionPythianDoorDashQontoPwC
What was rolled outNo source-linked detail in this snapshotNo source-linked detail in this snapshotNo source-linked detail in this snapshot
  • Microsoft's customer story says PwC rolled out Microsoft 365 with Copilot across the firm, with more than 200,000 Copilot licenses enabled and 40.8 million Copilot actions recorded over six months.Vendor-reported · Read entry 1
  • It reports more than 285,000 users in over 100 countries.Adopter-published · Read entry 1
Business workflowNo source-linked detail in this snapshotNo source-linked detail in this snapshot
  • 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 snapshot
Reported resultNo source-linked detail in this snapshot
  • 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
  • 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
No source-linked detail in this snapshot
Measurement basisNo source-linked detail in this snapshotNo source-linked detail in this snapshotNo source-linked detail in this snapshotNo source-linked detail in this snapshot
Limits and unknowns
  • Its further claims about customers' IT tickets, supply chains, and retail onboarding should not be presented as independently attributable adoption by those unnamed organisations.Source-reported · Read entry 1
No source-linked detail in this snapshot
  • These are vendor-published customer claims, not independently audited causal estimates across Qonto's entire customer base.Vendor-reported · Read entry 1
  • These are vendor-published customer figures; the story does not provide an independent causal evaluation or the calculation method for the time-savings valuation.Vendor-reported · Read entry 1
  • The separate $25 million saving came from platform consolidation and should not be attributed to AI.Vendor-reported · Read entry 1
  • The page does not provide the calculation behind “capacity created”; usage volume is not the same as business value.Adopter-published · 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.

ClassificationPythianDoorDashQontoPwC
Adoption stageProductionUnknownProductionScaling
Business functionsNot establishedNot establishedFinanceNot established
Outcome categoriesCycle TimeNot establishedCycle TimeProductivity
Source date2026-08-272024-09-242026-09-032026-02-25

Pythian

DoorDash

Qonto

PwC

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