Know exactly where your AI budget is going
Trusted by engineering and finance teams
AI investment overview
See total AI spend by provider, attributed to the projects consuming it.
There's no need to work like this anymore
From visibility to governance.
Most tools tell you what happened. Flowstate tells you what is happening, why, and gives you the controls to change what happens next — across your hybrid workforce.
See
What is happening — and what is it costing?
Every token tied to a person or a service, a project, a cost centre and an outcome. One ledger across developer AI and production AI.
Forecast
Why is it happening — and is it good spend?
Forward projections by quarter. Scenario plans for new initiatives — including swapping contractors for agents. Budget vs. actual, weeks before close.
Govern
How do you control what happens next?
Policy, enforced where AI traffic actually flows. Spend stops when policy says stop — not when leaders notice.
"flowstate bridges the gap between engineering and finance, we're all working from a single source of truth."
Ten modules. One source of truth.
AI governance, workforce engineering, and finance & compliance — sharing one data model. Each module works standalone; together they're a system of record.
AI Spend Insights
Every token tied to a person or service, a project and a cost centre. Across developer AI and production AI.
AI Governance
See, decide, enforce and resolve. Four layers of governance across developer AI and production AI.
AI Workforce
Hybrid workforce on one ledger. Track AI agents alongside humans. Model contractor-to-agent swaps.
AI Project Analyst
AI-driven CapEx/OpEx classification, R&D tax discovery, and pre-authored rationales.
Variance Tracking
Continuous plan-vs-actual monitoring. Catch drift in AI budgets and headcount before quarter-end.
CapEx Attribution
Continuous capitalisation tracking. ASC 350-40 and FRS 102 compliant.
R&D Tax
Build R&D claims continuously. RDEC and IRS Section 41 support.
Scenario Planning
Model what-if scenarios for hybrid workforce changes. Like a git-diff for engineering costs.
Workforce Analytics
Real-time dashboards for headcount, cost, utilisation, and variance.
Resource Discovery
AI-powered resource matching. Find capacity without adding headcount.
See the full platform
All ten modules share a single data model. Change one thing, see the impact everywhere.
ExploreA new system of intelligence
Find capacity without adding headcount
Define the roles and skills your project needs. Flowstate scans your entire organisation — across teams, projects, and priorities — and suggests who's available, what to deprioritise, and when to schedule the move. One click to reassign.
"Need 2 senior engineers for a 6-week sprint? Flowstate finds them — and shows you what to deprioritise to make it work."
Explore Resource DiscoveryTrack every engineering cost — human and AI
Copilot seats, Claude API calls, autonomous agents running overnight — AI costs are growing faster than anyone budgeted for. Flowstate tracks AI spend alongside human workforce costs, attributed to teams and projects. One blended view of what engineering actually costs.
"Your Copilot costs went from $2K to $47K last quarter. Which teams are driving that?"
Explore AI WorkforceBuilt for every stakeholder
CFOs and CTOs are equally exposed to AI spend. Flowstate gives them one shared ledger — and the controls each one needs.
CFOs & Finance
See inside your fastest-growing line item. Audit-grade attribution across developer AI and production AI.
Learn moreEngineering Leaders
CTOs, VPs and Directors who need every AI dollar — and every engineer-hour — to count.
Learn morePrivate Equity & Boards
Portfolio-level visibility into engineering spend, AI cost growth and operational efficiency.
Learn morePeople & HR
Hybrid workforce planning across people and AI — powered by your HRIS data.
Learn moreOne model for the engineer running Claude Code on a Tuesday and the chatbot answering customers at 2am.
Built for engineering, trusted by finance
with an always-live ledger of workforce spend
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Stop flying blind. Then stop the leaks.
See where your AI budget is going — across developer AI and production AI — and govern what happens next.