Engineering leads
Report on AI spend with the work behind it, and make the case for the next budget.
AI usage tracking and reporting
AI usage reporting that stays out of the way.
Understand your team’s AI spend and the work behind it. Simple setup, clear reports, and built to collect metadata only: never prompts or source code.
Pre-launch. Demo figures are synthetic.Capability status
SymentrioAcme Engineering Demo data
Platform team · Aug 2026 · USD31 Aug · UTC
Where the spend went
Consumption basis$52,000 estimated, grouped by the status of the work.
- Production observed42%
- Merged, awaiting production18%
- Open work16%
- Approved non-code work10%
- Closed without merge4%
- Unresolved10%
Built for the tools your team already uses
Initial integration focus
Claude CodeCodexCursorOpenCodeGrok Build+61 more
How it works
Track, link, report.
- 01
Track usage and cost
By developer, tool and repository, with the cost basis kept explicit.
- 02
Link spend to work
Sessions follow their commits into main. Every link shows how it was made.
- 03
Report what happened
Merged, in progress, non-code and unresolved work stay separate.
The evidence
Spend, usage and delivery on one timeline.
Follow a single session from its cost to the commit, the merge and the deployment.
Spend, usage and deliveryDemo data
Platform team · Aug 2026 · UTC · $52,000 estimated consumption
Chart summary. Spending: daily estimated spend totals $52,000 for the month, peaking at $2,930 on 19 Aug and low at weekends. Usage: 97 agent sessions, almost all on weekdays. Delivery: commits on 11 days, 6 merges into main and 4 production deployments. The highlighted trail follows.
- 20 AugSession · $240 estimated
- 20 AugCommit on the approved branch
- 26 AugPR #142 merged into main
- 28 AugProduction deployment
Honest accounting
A signal, not a score.
Unmerged work isn’t waste and a merge isn’t ROI. Every category stays visible, so the team can discuss what the spend supported.
Who it’s for
For the person who has to explain the bill.
Developers
See your own usage, add context to your work, and never get ranked by token count.
Trust
Metadata only.
Usage counters, identifiers and delivery states cross the line. Prompts, responses and source code are excluded by design.
Crosses the line
- Usage counters and timestamps
- Repository, commit and PR identifiers
- Delivery states and coverage
Stays out
- Prompts and responses
- Source text and diffs
- Tool arguments and outputs
Good questions
Before you ask.
Does a merged pull request prove ROI?
No. A merge is a delivery milestone, not a business outcome. Symentrio keeps merged, deployed and in-progress work separate so the team can discuss value with the evidence in view.
Will this rank our developers?
No. Authorized leads can inspect usage and work associations, but there are no productivity scores. Research, incident response and unfinished work keep their context.
What do we need to get started?
One engineering group, the coding tools you already use and a GitHub connection. Sources and scope are confirmed during setup.
Symentrio
See the work behind
your AI spend.
Start with one team and the coding tools your developers already use.
Talk to usA scoped pilot: usage, costs and delivery evidence.