How do you track AI spend across engineering teams?

Flowstate tracks AI tool costs (Claude, Copilot, ChatGPT, Cursor, and more) alongside human workforce costs. It automatically classifies AI spend as CapEx or OpEx, attributes costs to projects and teams, and gives engineering and finance leaders a unified view of total engineering investment, human and AI combined.

How does Flowstate control AI spend, beyond tracking it?

Flowstate gives you concrete controls: guidelines, policies, an activity log, alerting, budget cut-offs, auto-banning and key revocation. Set the rules, watch what's happening, and stop the leaks. Enforcement happens at the provider edge, at key provisioning, and inline where it matters.

What's the difference between developer AI and production AI?

Developer AI is tools like Claude Code, Cursor and Copilot. It is interactive and attributable to a person, usually billed per seat plus overage. Production AI is the AI baked into your product (chatbots, document extractors, video pipelines). It is autonomous and attributable to a service, usually billed per token. Flowstate covers both in one model because the economic questions are the same.

Your company is spending significant capital on AI. No-one can tell the board what it returned.

Flowstate turns AI cost into provable ROI, across the human + AI workforce.

Total AI spend

£0

4,218 sessions this month

CapEx projects

£0

across 4 initiatives

Savings

£0

across 1,284 sessions

Unattributed

£0

312 sessions

Spend by provider

Anthropic£98K

GitHub£52K

Cursor£42K

Windsurf£23K

Spend by value

Payments platform£68K

Customer portal£54K

Data & ML platform£50K

Mobile app£43K

Live session feed

Streaming

Engineer

Project

Provider

Capacity planning for the AI-native enterprise

Attribute, forecast and map every token to the business outcomes it supported.

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

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Stages

From visibility to evidence-based investment decisions

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.

Control

How do you stop the leaks?

Set the rules, then enforce them where it counts. 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

One Platform

Eleven 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

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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AI-Powered

A new system of intelligence

Set the AI cap. Let your team choose the tool.

One budget per person, enforced across Claude, ChatGPT, Cursor, Midjourney, Jasper. 35+ AI platforms in total. Graduated alerts at 80%, soft cap at 100%, manager loop on overage. No more month-end surprises from tools finance has never heard of.

Per-person caps 35+ platforms Soft & hard caps Slack-native alerts

"Marcus is at 99.8% with 14 days left in the month. His manager has been notified."

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Catch what's leaving in a prompt.

Content-level inspection of every prompt, on every tool. Secrets, customer PII, source code, payment data, shadow AI providers and personal use, all flagged, redacted, or blocked before the prompt reaches the model. Lives where your SOC already lives.

Secrets & keys Customer PII Shadow AI SIEM-native

"Marcus pasted an AWS key into Cursor. Blocked, revoked, SOC notified. 1.4 seconds end-to-end."

Explore AI Security