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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✓ Certinia ✓ GitLab ✓ IBM ✓ Atlassian

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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	Certinia	GitLab	IBM	Atlassian
What was rolled out	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
Business workflow	No source-linked detail in this snapshot	Anthropic's customer story says GitLab piloted Claude for Work internally for RFP responses, marketing content, technical documentation, small internal tools, and data analysis.Vendor-reported · Read entry 1	No source-linked detail in this snapshot	Atlassian uses Claude for complex and long-running workflows in Rovo Chat, Rovo CLI, and early-access Rovo Max, while Claude Code is used within engineering and was piloted in non-technical teams.Vendor-reported · Read entry 1 Its April 2026 engineering account says the system used Anthropic Claude 3.5 Sonnet to generate review suggestions, alongside separate quality checks.Source-reported · Read entry 1
Reported result	No source-linked detail in this snapshot	It reports that 98% of surveyed GitLab team members were satisfied or very satisfied and cites 25–50% productivity gains during the initial pilot.Vendor-reported · Read entry 1	No source-linked detail in this snapshot	Atlassian reported a 30.8% reduction in median pull-request cycle time with its Claude-backed Rovo Dev Code Reviewer and 35.6% fewer human-written review comments.Source-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	Measurement basis included in reported result above
Limits and unknowns	No source-linked detail in this snapshot	The page does not state the survey sample, productivity baseline, or calculation method, so they should not be generalised to GitLab's entire workforce.Vendor-reported · Read entry 1	No source-linked detail in this snapshot	The same story reports millions of Rovo Chat users but does not provide a controlled measure of Claude-specific productivity or customer outcomes.Vendor-reported · Read entry 1 Anthropic's customer story says more than five million AI agents ran in customer business workflows in one month, but does not attribute all those executions to Claude; Rovo uses multiple models.Vendor-reported · Read entry 1 It does not independently validate the adoption scale in Anthropic's customer story, nor establish a Claude-specific productivity outcome.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.

Classification	Certinia	GitLab	IBM	Atlassian
Adoption stage	Unknown	Piloting	Unknown	Production
Business functions	Not established	Sales Marketing	Not established	Not established
Outcome categories	Not established	Productivity	Not established	Cycle Time
Source date	2026-07-30	2026-09-02	2026-05-28	2026-08-28

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