AI made your team faster.
The code wait got worse.
Copilots ship code 2× quicker — and pile it up at review, QA and release. Without telemetry, AI doesn't multiply output. It multiplies the mess. We measure where your engineering hours actually go, and put a € number on every bottleneck.
AI doesn't help.
Visibility into AI does.
Same tools. Same engineers. The difference is whether anyone can see the work AI is generating — and what happens to it next.
Code volume doubled. Throughput didn't.
Copilots generated 53% more PRs last quarter. Reviewers can't keep up. Tests get skipped. Tech debt compounds quietly in production.
Same AI. 31% more value shipped.
We label every AI-authored ticket in real time, score review depth, and surface flow drift before it costs you a sprint. AI becomes a multiplier — not a generator of work-in-progress.
Hours leak. Hours cost money.
Drag the slider to plug in your team size and burdened cost. The € figure updates live. This is the leak we surface — to the minute.
Pull a lever. See your sprint heal.
Adjust the dial. This is the median improvement our customers see in their first 90 days — across review wait, lead time, rework, and SLO compliance.
90-day after Agile Analytics:
measurable change across the loop.
Engineering productivity
has an SLA now.
Every team sets targets for hour-effectivity, lead time and review SLO. We track every breach — and tell you which loop it came from.
Stop guessing.
Start measuring.
14-day Quickscan plugs into your Jira + GitHub + CI. Your first € leak report lands in 7 days, no slides.