Alan Bukrinsky

I found this meme funny… but also strikingly accurate.

Many CEOs are rushing into AI with huge enthusiasm, but often without clarity on what specific problem they’re solving. The result? Exactly what you see here.

After 3+ years partnering with companies on conversational AI solutions, I’ve seen this pattern repeat countless times. Organizations invest in AI, then wonder why they’re not seeing ROI.

The real challenge isn’t “Do we need AI?” (we do). It’s “How do we implement it to create measurable, sustainable value?”

Here’s what I’ve learned separates successful AI implementations from expensive experiments:

Start with the problem, not the technology – Define outcomes before choosing tools.

Establish clear success metrics – If you can’t measure it, you can’t improve it
Align strategy across stakeholders – Technical teams and business leaders must speak the same language.

Focus on value, not features – Shiny doesn’t always mean useful
The technology is ready. What’s often missing is the strategic bridge between business objectives and technical execution.

I’ve worked with CTOs who knew exactly what they wanted to build but couldn’t quantify business impact. I’ve advised executives who had clear ROI targets but no technical roadmap. The magic happens when strategy and execution align.

What’s been your experience with AI implementation? Are you seeing real value — or just expensive experiments?