Numbers a board can trust.
Boards are asking what the AI spend bought. Most engineering leaders don’t have a number. Timo gives you one — with a frozen baseline behind it, so the before and after are real.
Most companies aren't measuring this at all.
AI spend went up everywhere. Measurement didn’t follow. So the one question the board asks — what did it buy? — has no answer in most engineering companies.
of companies track any AI-specific metrics at all
Fewer than half. The rest are spending without a scoreboard — usage without measurement.
median company-level throughput gain from AI
While individual output multiplies. The gap between what each developer gained and what the company gained is the number boards actually want explained.
Five outcomes. Plain words.
Every engagement reports the same five. No dashboards you need a data team to read — five things a board understands on first pass.
Fewer defects reaching customers
And faster resolution of the ones that do.
More shipped per week
Shorter idea-to-customer time, measured end to end.
New developers productive in days, not weeks
Measured by their first merged PR.
Every developer trained and benchmarked
Through the Academy, active daily, measured against a baseline.
Every repo rated L0–L8
Like a credit rating per product — you can see which codebases are ready and which aren't.
Three tiers of metrics — and only one is the anchor.
Usage numbers move first and prove the least. Delivery numbers are what the business feels. Cost numbers close the loop. Timo Scoreboard keeps the three apart so nobody mistakes activity for results.
Adoption
Who’s actually using it. These move first — and prove nothing alone.
- Active developers — who's using agent tools daily
- Repos passing the gate — which repos pass the conformance check in CI
- Answers citing verified memory — how many agent answers are grounded in a cited source
Delivery
What the business feels. This tier is the headline — nothing else is.
- Deploy frequency — production deploys per week
- Idea-to-customer time — days from request to production
- Change-failure rate — deploys needing rollback or hotfix
- Recovery time — how long incidents stay open
- Review coverage — merges that went through a review gate
- Senior review hours — per merged change
- Time to first merged PR — for every new joiner
Cost
What it costs — connected to what shipped, not just what was used.
- Token spend per task — against the pre-install baseline
- Cost per shipped feature — all-in: inference, review time, rework
- Cost per accepted, production-safe outcome — the composite: total spend divided by changes that shipped and stayed shipped. The number nobody else publishes.
Rules we won't break — even when the number looks good.
Anyone can put charts on a screen. What makes a scoreboard worth trusting is what it refuses to do. These rules came from running measurement with real customers, not from a whiteboard.
Never one number.
A single metric tells a clean, false story. One number can improve while two others quietly get worse. We report the set, always — even when part of it is unflattering.
Baselines are frozen before we claim anything.
The baseline is captured and locked before the work starts. No moving the goalposts, no retroactive befores.
No individual-developer leaderboards.
Team level only. Rank individuals and people game the number — the scoreboard measures the system, not the person.
A metric that can’t be computed reports "—", never a guess.
If the data can’t support the number yet, the scoreboard shows the gap. Showing the gap beats faking the number.
Vendor usage stats are leading indicators, never a headline.
Acceptance rates and active-seat counts live in Tier 1. They never headline a report, because usage is not impact.
In your browser. Weekly. Against the frozen baseline.
Two reports, both readable by leadership without a translator.
The scan report
Where every repo stands today: the Readiness Score, six scored dimensions, and the fix plan. The starting point every later number is measured against.
See a scan report →The board pack
The weekly scoreboard: every metric with a baseline, target, owner, and next action. What moved, what didn’t, and who’s doing what about it — ready to forward to the board as-is.
Open the demo →The first number is free.
Scan a repo and you have your Readiness Score in minutes — the start of a baseline a board can trust.