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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✓ Permiso ✓ Google ✓ Impel ✓ DoorDash

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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 question	Permiso	Google	Impel	DoorDash
What was rolled out	No source-linked detail in this snapshot	No source-linked detail in this snapshot	Impel deployed Claude Enterprise to more than 400 seats across knowledge work and engineering.Vendor-reported · Read entry 1	No source-linked detail in this snapshot
Business workflow	No source-linked detail in this snapshot	No source-linked detail in this snapshot	Impel deployed Claude Enterprise to more than 400 seats across knowledge work and engineering.Vendor-reported · Read entry 1 Its teams use Claude Code for product development and a Claude-based roleplay agent to train over 150 customer-facing staff using scenarios informed by recorded dealer calls.Vendor-reported · Read entry 1	No source-linked detail in this snapshot
Reported result	No source-linked detail in this snapshot	No source-linked detail in this snapshot	Anthropic's customer story says new-product ramp time fell from three to six months to roughly one month of roleplay and certification.Vendor-reported · Read entry 1 It reports 20% more support cases handled with Claude-based triage and monthly business-review preparation falling from three to four hours to around 30 minutes.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
Measurement basis	No source-linked detail in this snapshot	No source-linked detail in this snapshot	No source-linked detail in this snapshot	No source-linked detail in this snapshot
Limits and unknowns	No source-linked detail in this snapshot	No source-linked detail in this snapshot	These are vendor-published customer examples, not an independently controlled estimate of company-wide productivity.Vendor-reported · Read entry 1 Impel prioritises agent opportunities by business problem and still uses other models, so the account does not establish that every benefit or workflow is attributable solely to Claude.Vendor-reported · Read entry 1	No source-linked detail in this snapshot

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.

Classification	Permiso	Google	Impel	DoorDash
Adoption stage	Unknown	Unknown	Production	Unknown
Business functions	Not established	Not established	Not established	Not established
Outcome categories	Not established	Not established	Cycle Time	Not established
Source date	2026-07-09	2026-10-07	2026-09-16	2024-09-24

Permiso

Permiso Brings Fico Style Risk Scores To Human Machine And A

Google

Impel

Impel Claude Training Support Rollout

DoorDash

Doordash Bedrock Voice Support Agent

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