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, 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.
Generative AI, Mid-market Orgs
Andy McKinney, CEO
Aug 19 2025, 5:09:23 PM
When midmarket companies talk about AI implementation, the conversation often begins with efficiency. How much can we automate manual processes? What's the ROI on automation? These are important questions, but there's a more strategic question that deserves equal attention: once you do achieve that efficiency, what happens next?
