Explore Flowstate

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

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 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.

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
Flowstate / People + AI Talk through your priorities
Use cases

See the value of people and AI working together.

Understand what your AI investment helps people achieve. Compare the extra work teams can deliver with AI spending and review costs, then plan where that capacity can create more value.

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Illustrative examples. Your plan uses your costs, source records and agreed assumptions.

Give AI work worth doing.

Start with work that matters to customers and teams. Agree what people will do, what AI will handle and how the result will be checked before funding it.

See spending across your business ↗
Investment review
OpportunityValue sought
Customer self-service Less routine support work
Reusable delivery tools More delivery capacity
Reporting automation Less preparation time
Expected benefits need an agreed baseline

Put extra capacity to use.

Plan what people can take on when AI handles routine work. Check that the time is available and the right skills are in place before promising a new delivery date.

Plan people and agents in Flowstate Workforce ↗
Capacity plan
SourceProposed use
Reporting preparation Improve decision support
Repeated delivery setup Build reusable tooling
Manual evidence gathering Assess further projects
Confirm capacity and funding before approval

Understand what the investment gives back.

Follow the work delivered and the costs of AI, implementation and human review. Use the evidence to decide where to invest more, and assess any accounting treatment separately.

Compare cost with measured results ↗
Value review
DecisionBasis
More useful work Compared with the agreed baseline
Estimated capacity value Includes AI and review costs
Realised financial return Confirmed cost or revenue change
Estimated capacity value is not a cash saving
Your systems, connected

Use the tools behind this work.

We agree which records, access and controls your workflow needs, then connect the relevant systems.

Explore all integrations ↗
HiBob Available BambooHR Available NetSuite ERP Discuss setup Xero Discuss setup Jira Available

Measure what changes.

Compare useful work delivered, quality and total costs with an agreed baseline. Keep estimated capacity value separate from realised savings and revenue.

We agree the baseline with you, build around your systems and keep improving the application as your work changes.

More work we can help with.

Workforce planning

Plan people and AI around the work ahead.

 Team capacity

Give your team capacity for the work that needs them.

 AI and business activity

Connect AI use to the work it supports.

Start with the work you want to improve.

Show us the process, the systems and where your team loses time.

Request a demo
Practical questions

What to know before you start.

How do you assess AI’s contribution to business value?

Choose defined work and compare quality, delivery time, review effort and cost with a baseline. Keep measured results separate from modelled scenarios and potential benefits.

Can we test an investment decision before changing the plan?

Yes. A scenario can compare assumptions about demand, staffing, timing and cost. The approved plan remains separate until a decision is made.