Quick Take
SMEs and IT leaders should build and maintain an AI technology radar to navigate the flood of AI tools more rationally, avoid hype traps, and invest purposefully in what really moves the needle for their business.
Why You Should Care
- Structure beats chaos. Without a consistent framework, AI adoption can become random, expensive, and risky. A tech radar forces your organization to evaluate tools based on maturity, risk, impact, and alignment.
- Cross-functional alignment. Building the radar brings together senior technologists, engineers, and non-technical stakeholders. It surfaces perspectives about value, risk, and trade-offs, building consensus and reducing siloed decision-making.
- Iteration drives future-proofing. A radar is not static. You periodically revisit and re-categorize technologies, which helps you respond to rapid change.
What You Should Do Next
- Kick off a cross-team working group to design your AI technology radar.
- Define evaluation criteria (e.g., maturity, ROI, integration risk, alignment to business goals) tailored to your strategy.
- Establish a periodic review to refresh your radar to reflect market shifts, internal pilots, and lessons learned.
Get Started
- Map out AI domains most relevant to you (e.g., security, productivity, development), then decide on which AI tools belong in Adopt, Trial, Assess, and Hold.
- Capture your session in a shared format (spreadsheet + narrative) and visualize your radar (e.g., concentric diagrams) for transparency across teams.
- Review your radar regularly to reclassify tools, de-risk early, and update based on real-world learnings and vendor maturity.