Measure your AI maturity
Take this short assessment to see where your organization stands on the path to AI adoption–and find out what you can do to reach the next level.
- What level of AI experimentation has your team completed?
What level of AI experimentation has your team completed?
- No formalized experimentation
- Light experimentation with copilots and other tools
- Structured experiments and POCs, leading to several instances of implementation
- On-going investment in R&D, leading to multiple working AI solutions in production, detailed KPIs and investment plans
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A practical approach to fine-tuning
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What we’re thinking about
From the practical to the philosophical, our teams have a lot to say about how AI is impacting the SDLC. Check out our latest insights.
Generative AI, Engineers, Product Teams
Simon Bengen
Oct 20 2025, 5:13:35 PM
You've probably seen the numbers by now. With the advent of advanced AI, engineering teams are experiencing unprecedented acceleration. Developers, empowered by tools like Copilot, complete coding tasks 55% faster. The 2025 DORA Report shows 90% global AI adoption among developers, with over 80% reporting enhanced productivity.
Generative AI, Mid-market Orgs
Andy McKinney, CEO
Sep 12 2025, 6:46:29 PM
As a leader, you’re constantly told that you need an "AI strategy." But what does that actually mean? It’s more than a shopping list of technologies or a vague mandate to "innovate." A robust AI strategy is a clear-eyed assessment of where you are, where you want to go, and how this powerful new toolkit can get you there faster and more effectively than your competition.
