Hello and welcome to The AI Moment! I’m (Danny Denhard) back with Jonathan for episode #31 on this episode we tackle one of the biggest challenges in AI right now: moving from hype to practical, safe adoption.
In my workshops with large companies, I see a major gap. Leaders are pushing a top-down mandate to "go optimise with AI," but teams haven't been given the guardrails. This leads to "shadow AI," where sensitive data is being uploaded to public tools without oversight.
To fix this, I introduced my "3 T's" framework, a simple model for anyone to evaluate AI tools and outputs.
TIME: This is the obvious one. Does it save you time or free you up for more important work? It's what draws us all in, but it's also a trap.
TRUTH: Is the output truthful? We all know AI hallucinates. If you just copy and paste without checking, you’re creating what Jonathan brilliantly calls "AI slop." You must be the human-in-the-loop.
TRUST: This is a two-part, critical question. First, do you trust the output enough to put your own name and reputation on it? Second, do you trust the tool with your private or company data?
The core takeaway is that this framework helps you move from being an "AI sheep" someone who just uses AI for speed, to an "AI lion," using it to critically augment your skills.
Your Call to Action:Think about the last AI tool you used. Run it through the 3 T's. Did it pass?
For a deeper dive and more frameworks like my "Two V's" (Verify and Validate), make sure you subscribe to our supporting newsletter, which comes out every Monday and Friday. You can find it at aimoment.co.uk.
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Danny Denhard
