Where is your AI budget going?
AI is your fastest-growing line item and the one with the least visibility. Flowstate gives finance teams concrete controls: guidelines, policies, alerting, budget cut-offs and audit trails, across developer AI and production AI, with the same rigor as your other systems of record.
Four ways to take control
A dashboard tells you what already happened. Real control is the full loop, from rule-setting to enforcement.
See
Every token tied to a person or service, a project, a cost center and a capitalization state. Across providers and across both faces of AI spend.
Decide
Approved models, per-team caps, allowed providers per service, capitalization rules per project stage. Versioned, audited, owned.
Enforce
Apply the policy where AI traffic flows: at the network edge, before the request reaches the provider, at key provisioning, and inline where it matters. Spend stops when policy says stop.
Respond
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. Raw prompts and responses are discarded on a schedule, 30 days by default and configurable shorter, and vendor credentials are never stored.
Know exactly where your AI budget is going
Copilot licenses, 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 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 cap |
| Product | £2.04M$2.57M | £2.18M$2.75M | +£139K+$175K | Over cap |
| Data | £1.13M$1.43M | £1.10M$1.39M | -£32K-$40K | Under cap |
| Infrastructure | £906K$1.14M | £952K$1.20M | +£46K+$58K | Over cap |
| 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 invoice line 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 what you're spending, and why.
How Flowstate helps finance
Built for engineering, trusted by finance. Flowstate frames AI spend by what it creates for the business rather than what it costs. One UK customer moved £300k a month from P&L to balance sheet within two months.
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
You're the one who can say no when everyone else is saying yes. These are the questions that make that call defensible.
"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.