
Find the bottlenecks that are slowing you down. Then remove them one by one.
When delivery keeps slipping even though the team is working hard, the first instinct is often to add more people. It rarely helps. What slows teams down is usually friction in the system, like slow pipelines and unclear workflows, and more people won't remove it.
AI coding agents won't solve it either. They can take over much of the work, but they run into the same obstacles as your developers – and hit them more often.
We work with software teams to find what's slowing them down and remove it, without disrupting ongoing delivery. To shorten lead times without sacrificing quality, our principal software architects draw on the Theory of Constraints, Lean and Team Topologies.
Here are a few ways we can help
Turbo insight: How to cut your development lead times in half
More details about cutting your lead timesWhat if your teams could deliver more value faster? In a short series of workshops, we collect insight and give advice on how you could cut your development lead times, by as much as 25-75%.
Proven results: Cut your lead times and track the effect
More details about getting proven resultsAfter measuring your development flow and change failure rate, our principal software architects form hypotheses about what would shorten lead times and test them in small experiments with your team. Results are shared, successful changes scaled, and impact evaluated.
Anti-friction team: Improve your delivery performance under pressure
More details about the Anti-friction teamWhen delivery keeps slipping even though your team is working hard, adding capacity seldom helps. What slows you down is friction: handovers, waiting, fragile tests. We embed a small team of experienced software architects alongside yours to find and remove it, one bottleneck at a time, without disrupting ongoing delivery.
Backed by research
For more than a decade, the DevOps Research and Assessment (DORA) programme has studied what separates high-performing software organisations from the rest. Their findings, first presented in Accelerate by Forsgren, Humble and Kim, show that delivery performance – measured through metrics such as lead time, deployment frequency and change failure rate – predicts both business performance and developer wellbeing.
The same research shows that speed and quality go together. The teams that deliver most often also have the fewest failed changes and recover fastest when something breaks.
DORA's 2025 report looked at AI-assisted development and reached a clear conclusion: AI amplifies what's already there. Individual developers get more done, but in teams with weak foundations, delivery becomes less stable. The largest gains come from improving the system the tools work in.
We use these metrics to measure where your delivery stands today and track the effect of every change we make together.
We should talk if …
You've added more developers, but delivery hasn't sped up.
Features take months to reach customers, even when the code was written in weeks.
Every release breaks something, so teams release less often.
Your teams are busy all the time, but the business is still waiting.
Releases need extra hands, late nights or a code freeze.
Your AI agents produce code faster than ever, but delivery isn’t getting any quicker.
Let's talk!



