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The Flowstate platform
Flowstate Helm

Know what AI costs. See what you get back.

Understand spending, share budgets and connect AI use to the work it supports.

Flowstate Workforce

Blended workforce

Plan AI and people together. Give your team more capacity with AI taking on routine work.

Plan your workforce →
Recent insights All insights
7 Oct 2026

The impossibility of measuring AI productivity

I wanted a way to tell whether AI was making work better. I ended up arguing with ticket counts, cost accounting and my own assumptions. This is the method I would test, and the long list of reasons to be careful with it.

30 Jul 2026

Buy 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 modeled four options, an office rack, colocation, rented GPUs and per-token APIs, to find where each one actually wins. The answer turns on utilization, and it isn't the one the internet keeps giving.

Start with the work All use cases

Understand AI spending and value

See where the budget goes and what the business gets back.

Share one AI budget across your tools

Fund people, teams and projects across connected services.

Give your team more capacity

Reduce the preparation, checking and follow-up around recurring work.

Connect AI use to delivered work

Follow AI activity into projects, code and business results.

Quick links
About Flowstate Contact Integrations Careers Documentation Download Flowstate Desktop Trust center

The platform

Platform overview

Flowstate Workspace

Plan your workforce with people and AI

Flowstate Helm

Understand and control your AI usage

Eddy

Add Flowstate's intelligence to your business

F.AI

Understand and improve AI adoption across your business

Start with the job you need done.

All use cases

AI spending & budgets

AI spending and value

Bring spending across providers and business units together.

Share one AI budget across your tools

Fund people, teams and projects across connected services.

AI use and business activity

Follow AI usage into projects, tasks and delivery.

People & operations

Plan and understand your workforce

Understand today’s work and capacity.

More capacity for your team

Reduce recurring preparation, checking and handoffs.

AI adoption and unused access

See who uses AI, who needs support and which tools people rely on.

Accurate financial reporting

Bring budgets and actuals together, reconcile the numbers and prepare reports for review.

Workforce planning

Plan people’s skills and availability alongside AI support.

Investment & asset value

The true cost of intangible assets

Connect people, AI and external costs to the assets your business is creating.

New opportunities for value creation

Understand the extra work AI helps teams deliver.

R&D value and evidence

Find research and development work worth assessing.

More ways we can help

From deal approvals to AI code contribution, explore other workflows we can build around your systems, decisions and business needs.

Recent insights

Read more

AI costs and value

The impossibility of measuring AI productivity

I wanted a way to tell whether AI was making work better. I ended up arguing with ticket counts, cost accounting and my own assumptions. This is the method I would test, and the long list of reasons to be careful with it.

Buy 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 modeled four options, an office rack, colocation, rented GPUs and per-token APIs, to find where each one actually wins. The answer turns on utilization, and it isn't the one the internet keeps giving.

Engineering and teams

The best engineering teams can turn on a dime

Why fluid planning beats rigid quarters, and how the best CTOs build cultures that adapt without chaos.

Big teams, small team energy

It's IEEE Spectrum time again, so it's time to talk about why adding management layers early is the real problem behind $2 trillion in annual software failures. From Canada's Phoenix payroll system to the UK Post Office's Horizon fiasco.

Workforce planning

What is Workforce Engineering, and how do you achieve flow state?

Workforce Engineering is the practice of deliberately designing, measuring and optimizing how an organization deploys its labor, human and AI, to produce outcomes. Here's the framework, the six practices, and how to get started.

A vision for the future of workforce planning

Engineering represents both an organization's largest expense and most critical delivery driver, yet planning tools remain almost exclusively in the hands of finance.

About Flowstate

Our company

About us

How we work with your business.

Contact

Talk through what you want to change.

Careers

Build with us.

Integrations

The systems we connect.

Workforce playbook

Practical guides to planning and reporting.

Trust center

Security documentation and policies.

Service status

Current service availability.

Policies Privacy policy Terms of service
Flowstate / People + AI Talk through your priorities

Policies

These documents set out the terms that apply when your organization uses Flowstate.

  • Terms of Service

    The terms that apply when your organization uses Flowstate's services.

  • Service Level Agreement

    Flowstate's availability commitment, service credits and support response times.

  • Acceptable Use Policy

    The rules for using Flowstate's application, API, MCP server, AI Router, Eddy and customer code.

  • Data Processing Addendum

    How Flowstate processes personal data for customers, who our sub-processors are and where data is stored.

For how we handle personal data about you as a visitor or user, read our privacy policy.

Platform

  • Platform overview
  • Flowstate Workforce
  • Flowstate Helm
  • Eddy
  • F.AI
  • Integrations
  • Flowstate Desktop

Use cases

  • All use cases
  • AI spending and value
  • AI budgets
  • Finance reporting
  • Plan people and AI
  • Staffing & capacity
  • Deal decks & approvals
  • AI competency

Company

  • About us
  • Flows
  • Insights
  • Careers

Resources

  • Documentation
  • API reference
  • Changelog
  • Service status

Legal

  • Terms of service
  • Service level agreement
  • Acceptable use policy
  • Data processing addendum
  • Privacy policy

© 2026 Joana Technologies Limited, trading as flowstate.

Company number 15862277

Registered office: Arquen House, 4–6 Spicer Street, St. Albans, England, AL3 4PQ.

Region
  • United States
  • United Kingdom
  • Europe
  • International