Your team has AI tools. It isn't shipping faster.
Every engineer has a license and code gets written faster than ever. Then it waits: in review, in a queue, on a decision nobody is sure they can make. In a fixed-price sprint of three to five weeks, I find where your delivery stalls and redesign one workflow from start to finish.
The speed is there. The structure to capture it is missing.
Most teams add AI to the way they already work. The output gets faster and flows into a process that was designed for the pace of people. You probably recognize some of this:
- Pull requests pile up, because review was built for the volume a person can write.
- Ownership gets blurry. When an agent wrote the code, nobody is sure who answers for it.
- Decisions that took a day now take a week, because it's unclear who approves what.
- The bill for AI tools keeps growing. The release cadence hasn't changed.
None of this is a tooling problem, so another tool won't fix it.
The Delivery Sprint
Three to five weeks. Fixed price. Three things you keep.
I work inside your team, on your real work. When the sprint ends, you have:
- Result 1
A score
An honest picture of where your team stands: how work moves from idea to production, where it waits, and who owns each step. You can measure against it again later.
- Result 2
One workflow, redesigned from start to finish
We pick the workflow that hurts most and redesign it together: what AI does, what stays human, and who approves. One workflow done properly, so your team sees what good looks like.
- Result 3
A standard that stays behind
A short, written standard your team can apply to the next workflow without me.
You own what you ship, whether it was written by a human or AI.
This is the condition everything else depends on. Tools and processes only work when someone answers for the result. Without that, faster output just means more work that nobody stands behind. The sprint starts here.
This is for you if
- You lead a software team of 5 to 100 people.
- You pay for AI tools and most of your engineers use them.
- You can't point to a noticeable change in how fast you ship.
- You want one concrete result in weeks, not a transformation program.
About me
I'm Bart Jacobs. I was Head of Engineering at a 50-person product studio while AI changed how software gets built, so I've seen from the inside what works and what stalls.
I've been building software and leading engineers for more than fifteen years, and I've shipped dozens of projects. I also founded Cocoacasts, where I've taught Swift development for over a decade to thousands of people.
The sprint is where most teams start. Beyond it, I work with teams as a fractional engineering leader.
Writing
- Why teams with AI tools don't ship faster. Most companies add AI to the way they already work. The code gets written faster, and then it waits.
Does this sound like your team?
Book a short call and tell me where delivery stalls. If you prefer to write first, send me a few lines.