Waterfall Is Back. And It Works Now.
I know a secret. The heavyweight SDLC methodologies that everyone abandoned? They weren't wrong. They were just too slow. AI fixed that.
Pattern recognition from 34 years in IT consulting. Helping professional services firms navigate the AI disruption before it's too late.
I know a secret. The heavyweight SDLC methodologies that everyone abandoned? They weren't wrong. They were just too slow. AI fixed that.
Fifteen posts later, the diagnosis is done. Now let's talk about what comes next for the firms willing to move.
I'm not trying to sell you anything. I don't have a product, a platform, or a consulting engagement to pitch. What I have is 34 years in this industry and a ...
The firms that win the next decade won't be selling AI engineers. They'll be deploying Forward Deployed Engineering teams with platforms in hand.
In 2012, we didn't just train developers on Scrum. We rebuilt how we estimated, measured, and engaged. That playbook is exactly what PS firms need now.
Rebranding your developers as 'AI engineers' isn't a pivot. It's a costume change.
You're optimizing for utilization rates while your business model burns. High utilization feels like success. It's not.
You've funded three AI POCs. None of them made it to production. The problem isn't the technology. It's the model.
While you're debating whether AI is legitimate, your enterprise clients have already made up their minds. And they're not waiting for you to catch up.
I've heard senior architects dismiss AI-assisted development as 'vibe coding for non-developers.' They're making a career-limiting mistake.