See which projects, tasks and delivery activity your AI spending contributes to. Bring provider records and work systems together so you can follow the cost beyond the invoice.
Talk through your processConnect recorded AI activity with the work it supports. Keep the provider, tool and project visible so teams can explain their spending.
Connect the source systems ↗| Project | Connected tools | Spend |
|---|---|---|
| Customer portal | Codex, Claude | $1,800 |
| Campaign planning | Gemini, ChatGPT | $640 |
| Needs attribution | Multiple tools | $120 |
Connect recorded output from AI tools with GitHub changes. Follow what reached the codebase, what people changed and which records need more evidence.
Connect AI use to work and projects ↗| Recorded output | Repository result |
|---|---|
| Generated change A | Merged with edits |
| Generated change B | Merged unchanged |
| Generated change C | Not found in merged code |
Review the activity alongside delivery, quality and human checks. Use that evidence to decide where AI is worth more investment.
Compare cost with measured results ↗| Measure | Evidence |
|---|---|
| Cost | Connected provider records |
| Delivery | Project and repository activity |
| Quality | Review and corrections |
We agree which records, access and controls your workflow needs, then connect the relevant systems.
Explore all integrations ↗Measure how much usage you can link to business activity, the time spent resolving unassigned costs and the results of defined workflows.
We agree the baseline with you, build around your systems and keep improving the application as your work changes.
Show us the process, the systems and where your team loses time.
Talk to FlowstateUse the identities, projects, sessions and delivery records available from connected systems. Preserve the attribution basis so people can inspect which links were measured and which were inferred.
No. Duration shows activity. Time saved needs a comparable baseline and must include the work spent reviewing or correcting the result.
