Where is your AI budget actually going?
AI is your fastest-growing line item, with the least visibility. Flowstate gives finance teams the four-layer governance loop — see, decide, enforce, resolve — across developer AI and production AI, with the same audit-grade rigour as your other systems of record.
Four layers, one loop
A dashboard tells you what already happened. Real governance is the full loop — from visibility to consequence.
See
Every token tied to a person or service, a project, a cost centre and a capitalisation state. Across providers and across both faces of AI spend.
Decide
Approved models, per-team caps, allowed providers per service, capitalisation rules per project stage. Versioned, audited, owned.
Enforce
Apply the policy where AI traffic actually flows — at the provider edge, at key provisioning, and inline where it matters. Spend stops when policy says stop.
Resolve
When something drifts, a graduated response — a nudge first, a manager surfacing later, an evidence pack if it escalates. Defensible, not dramatic.
Your contracts, your keys, your data
Flowstate is an insight and policy layer that lives inside your network boundary. Your provider contracts stay yours. Your invoices keep coming from your providers. We hold metrics and attribution; we don't touch the money. Prompts and responses are processed in memory and discarded.
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.
Questions Flowstate helps you answer
Once your hybrid workforce, projects, services and finance models live on the same platform, the questions get sharper.
"What share of our AI spend qualifies for R&D tax relief, and what's the narrative we submit?"
"If we swap three contractors for AI tooling next quarter, what's the delta to the P&L?"
"Across our entire AI estate — developer tools, production services, experiments — where is spend trending, and where are the risks?"
"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.