Find the leak in your AI spend
A year or two into rollouts, large engineering orgs are losing money on AI in six common places. Which is costing you most? That's what StackUp is for.
45 minutes with an Uplevel expert gets you the answer for free. You'll also get a benchmark against orgs your size and understand the first thing to fix.
The usual suspects
These landmines trip up transformation programs at every scale, and none of them show up on your tooling bill. Here’s what we look for:
Uneven dev skills
Small pockets of engineers getting the most out of AI have changed how they work. The rest of the org hasn’t caught up yet.
Model mismatch
Frontier models run test scaffolding and routine refactors that a cheaper model handles at the same quality.
Rework loops
Reverting and rebuilding generated code is costing you both tokens and dev capacity.
Manual gates
You know the day of the week your releases go out. Code gets written in minutes, then waits on a manual QA cycle or a hand-run compliance check.
Dependency queues
Finished changes sit in another team's backlog behind a schema change or a deploy window.
Siloed context
Context lives in individual prompt windows, so every session rebuilds it from scratch. You pay to re-explain your codebase again and again.
You'll talk with Amy.
Amy Carrillo Cotten has spent over 15 years helping engineering organizations across cybersecurity, insurance, finance, healthcare, and more through major changes in how they build and deliver software.
She brought that experience to developing StackUp, with a focus on getting past the symptoms to what’s actually causing them. In your session, she'll use that framework to look at your organization with you and help you pinpoint where to dig deeper.
“Token spend is a very real problem. The fun part is what else you find when you start pulling that thread.”
What you'll get in 45 minutes
Your leak
Which of the six is likely costing you most and where you should look deeper
Your benchmark
How your org's AI practices stack up against other companies your size
What to do first
One change we'd make first, sized so you can start without waiting for a budget cycle
StackUp runs on your answers only. No infosec or integrations required.
Book your StackUp session
StackUp is built for engineering organizations with roughly 100+ engineers. At that size and above, it's hard to get a reliable picture of how work moves through the organization by walking over and asking someone.
If you're smaller than that, you'll probably get a faster answer by talking to your teams directly.
After you book:
You'll be redirected to a five-minute intake form. Your answers give us a head start, so Amy can spend the session diving into your org instead of covering the basics.
Built on the WAVE Framework
StackUp uses the Uplevel WAVE Framework to assess AI deployment capability across four dimensions: Ways of Working, Alignment, Velocity, and Environment Efficiency.
Most AI dashboards only look at tooling adoption. We assess whether your organization can actually absorb and benefit from AI — or if it will just create new bottlenecks.
StackUp FAQs
Is StackUp really free?
A: Yes. We deliver value upfront to prove we understand your engineering challenges before asking for anything.
What happens after the session?
You'll have a likely leak or two identified, your comparison to other orgs your size, and a first move. If you want help executing, we'll tell you what that looks like. If you want to run with it yourself, you can.
How can 45 minutes tell us anything real about our org?
It won't give you a full diagnosis. It will tell you which of the six patterns is most likely costing you, based on your answers and what we've seen in comparable orgs. Confirming it takes detailed measurement, and that's a separate conversation.
Do you need access to our systems?
No. StackUp runs entirely on your answers and our benchmark data.
Who should attend the session?
Whoever owns the AI budget and/or the delivery outcome. You're welcome to bring other members of your management team as well.