You are running AI
everywhere. What is the ROI?
Agents on Microsoft. Automations on Google. Something a team built on AWS last quarter. Nobody owns the whole picture, so nobody can say what it costs or what it returned. We put all of it on one screen to see ROI.
- ?How many agents are live?
- ?What did the build cost?
- ?What does it cost to run?
- ?What came back?
The whole argument, in 25 seconds.
What you are running, what it costs you, and what it gives back — the same figures the rest of this page works through, at pace.
A 25-second animation. An organisation is running eighteen separate AI tools at a cost of £84,200 a month with no measure of what they return. Connecting the platforms it already uses turns that into one account: 147 agents, 2,310 automations and 240 seats of which 91 are live — an investment that crosses back into profit in month seven and returns 214% over 36 months.
Your AI is scattered. The bill is not.
Every platform sells you agents, and every team builds automations on top of them. Each one reports on itself and nothing else. We connect to all of them and give you a single view - how many are live, what they cost, and what is the Return on Investment..
- Agents
- 0
- Automations
- 0
- Monthly cost
- £0
You are paying for 240 agents. Ninety-one are running.
Seats get bought in bulk at the start of a rollout and nobody checks them again. We show you which ones are live, which ones have never been touched, and exactly what the difference is worth.
- Agent licences paid for
- 0
- Used in the last 30 days
- 0
- Spend returning nothing
- £0/yr
Licensed across five platforms
Everything else sits idle
Renews automatically next quarter
The month you stopped paying for it.
Every cost of running AI on one side - build, licences, infrastructure. Measured time and cost saved and Revenue Generated on the other. The answer is a date, not an adjective.
- Set-up
- £0
- Running
- £0/mo
- Breaks even
- 0 months
- Net ROI
- 0%
Implementation, consulting, training
Licences, infrastructure, admin
From go-live
Over 36 months
Numbers built to be argued with.
- Counted, not surveyed
- Agent and automation activity is read straight from the platforms running them. Nobody fills in a form, so nobody can inflate it.
- Compared against your own history
- Your systems recorded how long work took before AI, and what was the cost. We split that history at your go-live date and measure both sides identically.
- Deliberately conservative
- Where usage cannot be proven, it is not counted. The figure we report is a floor — so when finance stress-tests it, the surprises run in your favour.