Understand how AI impacts your P&L.
Make the investment case you can defend
flowstate turns AI cost into provable ROI, across the human + AI workforce.
Trusted by engineering and finance teams
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 Centre.
Capacity planning for the AI-native enterprise
Attribute, forecast and map every token to the business outcomes it supported.
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 centre. 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 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 eleven modules share a single data model. Change one thing, see the impact everywhere.
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Routing requests to the right model and attributing cost properly can cut enterprise AI spend by nearly 40%, turning opaque usage into something you can manage.
What is Workforce Engineering, and how do you achieve flow state?
Workforce Engineering is the practice of deliberately designing, measuring and optimising how an organisation deploys its labour, human and AI, to produce outcomes. Here's the framework, the six practices, and how to get started.
Amortising a hallucination
Enterprises are spending trillions on AI with no way to track where the money goes or prove ROI. As autopilot systems replace human work, the costs don't fit traditional financial models and have no clear attribution to outcomes.
Become the authority on AI in your company
Turn an uncontrollable line of OpEx into your most important asset.