Finally see inside engineering spend
Engineering is your largest line item, but you have the least visibility into it. Flowstate gives finance teams the data, audit trails, and compliance outputs they need to trust the numbers.
The finance reality
Engineering is your biggest cost centre, but least transparent
You can see what was spent, but not why. Engineering leaders talk in sprints and velocity; you need to talk in variance and forecast accuracy.
Payroll is the only reliable truth
By the time costs hit payroll, it's too late to act. You need forward-looking signal from HRIS and engineering systems, not rearview data from month-end close.
CapEx tracking is a quarterly scramble
Every quarter, you chase engineering for time allocation data to support capitalisation under FRS 102capitalization under ASC 350-40. It is painful, inaccurate, and late.
Know exactly where your AI budget is going
Copilot licences, Claude API spend, autonomous agents — AI costs are growing faster than anyone budgeted for. Flowstate attributes every pounddollar to the project and team that consumed it, so you can see what's delivering value and what's just burning budget.
Budget vs actuals, always current
No more month-end reconciliation scrambles. See exactly where engineering spend stands against plan, updated in real time.
| Department | Budget | Actual | Variance | Status |
|---|---|---|---|---|
| Platform | £1.49M$1.88M | £1.42M$1.79M | -£72K-$91K | Under |
| Product | £2.04M$2.57M | £2.18M$2.75M | +£139K+$175K | Over |
| Data | £1.13M$1.43M | £1.10M$1.39M | -£32K-$40K | Under |
| Infrastructure | £906K$1.14M | £952K$1.20M | +£46K+$58K | Over |
| Total | £5.57M$7.02M | £5.65M$7.12M | +£81K+$102K | 1.5% over |
Full visibility into AI spend
Finance sees a growing "AI tools" line item with no way to attribute it to teams or projects, and engineering leaders can't answer basic questions: which teams are driving the Copilot bill? Is our Claude API spend producing anything? Without attribution, AI spend is a black box — and black boxes get cut first when budgets tighten.
Provider-level breakdown
See spend by provider — GitHub Copilot, Anthropic, OpenAI, custom agents. Know exactly where each pounddollar goes.
Project attribution
AI spend is attributed to projects based on team effort allocation. Drill into any project to see per-agent cost, token usage, and trends.
Trend analysis
Track AI spend over time with date range selectors. Spot runaway costs before they become quarterly surprises.
Token-level detail
See input and output token usage per agent, per project. Understand not just what you're spending, but why.
How Flowstate helps finance
Built for engineering, trusted by finance. The bridge between two worlds.
- Finance-grade accuracy
- Fully-loaded costs including employer NI, pension contributions, and benefitsFICA, 401(k) matching, and benefits. Every number ties back to an authoritative source.
- Complete audit trails
- Every change is timestamped, attributed, and explained. Reconstruct any point-in-time view for auditors, the board, or your PE owners.
- Regulatory compliance
- FRS 102 capitalisation reports and RDEC scheme documentationASC 350-40 capitalization reports and IRS Section 41 R&D credit documentation generated automatically from engineering activity data.
- Export-ready reports
- Board packs, budget vs actuals, and variance reports exportable in the formats your financial systems expect. No more manual reconciliation.
"For the first time, I can reconcile engineering headcount to payroll in minutes instead of days. The audit trail alone saved us two weeks during our Series C due diligence."
Give finance the visibility engineering has been missing
See how Flowstate delivers finance-grade data from engineering systems without burdening your teams.