You’ve probably heard that most organizations are currently failing with AI.
Not because the technology doesn't work. Because they haven't built the muscles.
Think about it: There's culture change. Building internal teams. Building external partnerships. Learning what works for YOUR organization.
When do you need to start? Yesterday. That is absolutely true.
But it doesn't mean moving at full speed immediately. It means:
✅ Thinking about it
✅ Learning
✅ Experimenting
✅ Identifying something bite-sized with business value
✅ Doing it
Just last month, my company Lextech held an AI hackathon where everyone in the company – even the folks in finance and HR – assembled into teams to build AI agents to help their workflows.
Even though Lextech is very familiar with developing enterprise workflows with AI, it was important to “exercise” our problem-solving skills when it comes to AI.
Not every company can start with a hackathon, but we have to start somewhere. This is where the leaders of tomorrow are gonna be created – in the next 18 months.
But here's the key: The learning has to include business value. Not just "we implemented AI" but "we delivered these results." (In fact, business value was the most important scoring criterion that I used to rate our recent hackathon entries.)
You can't build muscles by reading about exercise. You can't build AI capabilities by planning forever.
Start small. Deliver in weeks, not years. Build experience. Learn what works.
The only way we get there is to start.
Your competitors already have, and we’re now two weeks into 2026. What’s your plan to accelerate the business with AI in Q1?