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Know exactly where your AI budget is going

Total AI spend
£0
4,218 sessions this month
CapEx projects
£0
66.3%
OpEx projects
£0
27.1%
Unattributed
£0
312 sessions
Spend by provider
Anthropic£98K
GitHub£52K
Cursor£42K
Windsurf£23K
Live session feed
Streaming
Engineer
Project
Provider
Category
Confidence
Cost
WH
Will H.
Analysis Agent
Anthropic
Claude Opus
Feature
94%
£284
1 of 4,218 sessionsAuto-classified by Flowstate AI

Trusted by engineering and finance teams

Confused.com RAC RVU MC Sonae
AI Cost Attribution

AI investment overview

See total AI spend by provider, attributed to the projects consuming it.

Total AI Spend
$186K
last 90 days
Attributed to Projects
94%
$175K of $186K
Avg. AI Cost / Engineer
$1,310
up 23% QoQ
Project Spend
Payments Platform P1
3 agents $42,800
Customer Portal P2
5 agents $38,200
Data Platform P2
2 agents $31,500

There's no need to work like this anymore

Q4 FTE Planning v4 final (draft) FINAL final.xlsx
A
B
C
D
E
1
Name
FTE
Team
Cost
Notes
2
Sarah C
0.8
Platform
£95k$150k
CHECK!
3
James W
1.2??
Product
#REF!
formula broken
4
Maria G
0.6
TBC
£88k$140k
was 1.0
5
Alex K
1.0
Data
£72k$115k
DELETE?
6
NEW HIRE
1.0
Platform
???
pending
7
TOTAL
4.6?
#REF!
WRONG
Tom: which version is this?
Stages

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."
CTO
Fintech Unicorn
AI-Powered

A 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.

Role & skill matching Lower-priority surfacing Resource contention Natural language adjustments One-click assignment

"Need 2 senior engineers for a 6-week sprint? Flowstate finds them — and shows you what to deprioritise to make it work."

Explore Resource Discovery

Track 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 Workforce
Two faces of AI
developer AI + production AI

One model for the engineer running Claude Code on a Tuesday and the chatbot answering customers at 2am.

Finance-grade
accuracy

Built for engineering, trusted by finance

Real-time
source of truth

with an always-live ledger of workforce spend

Clean inputs you can reconcile back to your systems

Connect your HRIS and project management tools. Lock and compare budget, forecast, and live data.

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.