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?
- 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.
Engineering
Pradeepa Dhanasekar
May 12 2025, 5:54:49 PM
AI change management has turned the engineering world on its head. Unlike previous technology transitions, AI adoption fundamentally impacts how teams work, think, and contribute value. That means it requires a different approach—one that recognizes the sophisticated nature of engineering talent and the importance of bringing people along the journey thoughtfully.
Mid-market Orgs, Engineers
Pradeepa Dhanasekar
Apr 15 2025, 4:45:13 PM
AI is reshaping team dynamics and collaboration patterns. Code reviews and pair programming are becoming more critical as teams need to collectively evaluate AI-generated changes. Non-coding applications provide immediate value with minimal risk—from building dashboards to generating better PRs and documentation.
