Turn AI cost into provable ROI
Forecast & attribute every token to the business outcomes it supported.
Trusted by engineering and finance teams
“Flowstate allows me to tie AI use to every bet we're making in the business, which makes forecasting much more accurate.”
“With Flowstate I now have complete visibility and insight to unblock my decision making around resource allocation.”
How CFOs are using Flowstate
AI spend insights
Every token tied to a person or service, a project and a cost center. Across developer AI and production AI.
AI governance
Set the rules, watch the activity, stop the leaks. Across developer AI and production AI.
AI budget
One budget per person across every AI tool. Set the cap, enforce across 35+ platforms, alert before overage.
AI security
Content-level inspection of every prompt. Catch secrets, PII, IP and shadow AI before they leave the perimeter.
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 capitalization 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, utilization, and variance.
Resource discovery
AI-powered resource matching. Find capacity without adding headcount.
See the full platform
All eleven modules share a single data model. Change one thing, see the impact everywhere.
Explore →Integrated to HRIS and project management
Enterprise-grade security and controls
Your data stays yours. Read our certifications, policies and sub-processors in the trust center.
Latest from the blog
See allBuy tokens, rent GPUs, or own the rack?
Open-weight models are now good enough to make self-hosting a financial question rather than a capability one. I modelled four options, an office rack, colocation, rented GPUs and per-token APIs, to find where each one actually wins. The answer turns on utilisation, and it isn't the one the internet keeps giving.
Turn a $3m AI bill into $1.9m
Most teams overpay for AI twice without noticing: they run everything through the default flagship model, and they buy the tokens on a metered plan they can't see into. An intelligent proxy fixes both. Here is the maths, a calculator you can drag, and where Flowstate fits.
Observations on AI agent token consumption
A new paper from Stanford, Michigan, DeepMind and All Hands is the first open empirical study of how AI agents actually spend tokens at scale. The findings line up closely with what we are seeing at Flowstate, from a different angle.
Become the authority on AI in your company
Turn an uncontrollable line of OpEx into your most important asset.