Is your go-to-market team actually ready for AI?
Most GTM organisations have already deployed some AI tools. Far fewer have the stakeholders, skills, culture, governance and infrastructure to successfully scale them and get real value from them. This diagnostic creates simple, high-level benchmarks for your team against current industry research and shows you where to focus first.
Benchmarks are drawn from published 2025–2026 research including LeanData's State of AI Go-to-Market Readiness Report (157 B2B revenue leaders), McKinsey's State of AI survey, and SmarterX's State of AI for Business report. Full sourcing is shown alongside your results.
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GTM AI readiness scorecard
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In order to unlock more information, including how your scores compare with market benchmarks, where you could prioritise your next steps and an executive summary, please add your details below. You will be able to see results immediately and receive an emailed copy.
- How your scores compare with market benchmarks
- A priority ranking of where to focus first
- An executive summary with suggested next steps
How you compare
Priority ranking
Ordered by where closing the gap would move the needle most for your business.
AI Readiness in GTM – Exec Summary and suggested next steps
Generating your narrative summary…
Where to start: fix the foundations, then layer on AI
The organisations getting real return from AI in GTM aren't the ones with the most tools — they're the ones with the stakeholder alignment, governance and infrastructure to make those tools and projects become embedded at scale. For most teams, that means ensuring their GTM infrastructure and processes are sound and approaching AI projects aligned to GTM maturity in different parts of the business. A EutaxiaGTM strategy session is built to map that out — enabling organisations to thoughtfully scale AI and sequence it based on current and future capabilities.