For teams putting AI agents to work
What do you want AI agents to change for your business?
Let’s agree what success looks like, then put it to the test in a pilot.
No charge, no pressure. Booking or attending the call does not commit you to buying anything; any paid work needs a separate written scope and price that you choose to accept. On the call we talk through your situation, agree the outcome you want and what success would look like, and see whether we are a fit. To change or cancel, reply to your calendar invitation.
Let’s agree what success looks like, then put it to the test in a pilot.
Already using ACP? Sign inFrom the change you want to a pilot that tests it
- 1
The change you want. You tell us what you would like AI agents to do for your business, and what is in the way today.
- 2
An initial call to agree what success looks like. We talk through your current situation, agree the outcome you want and how you would know it worked, and see whether we are a good fit. The call is free and commits you to nothing.
- 3
A pilot that tests those criteria. If there is a fit, the success criteria we agreed go into a pilot, and we test against them.
- 4
Agreed in writing first. Scope, responsibilities, timeframe and price are agreed in writing before any pilot work starts.
Situations people describe
You may recognise one of these.
Every business is different, so we don’t assume. These are situations people have described to us once an agent’s work starts to matter.
They are themes from recent conversations with practitioners and delivery partners, not survey results. If none of them fits, that’s fine: the call starts with your situation.
Approvals that hold everything up
An agent could move the work on quickly, but each step waits for sign-off, and people start looking for a way round it.
Nobody is quite sure who is responsible
When an agent does something unexpected, it is not clear who answers for it, or what record shows what happened.
Permissions that outlive the task
The project ends or someone changes role, but the agent keeps the access it was given. Rather like the office key nobody asked for back.
What sits behind a pilot
Software that keeps agents within the limits you agree.
IntelXview AI Control Plane (ACP) sits between an AI agent and the systems it acts on. You decide what each agent may do. Actions sent through ACP are checked before they run, and each decision is recorded.
Scope. ACP controls only the actions sent through it. Each tool or environment needs an integration, and anything that bypasses ACP is outside these controls.
It suits work where an agent takes an action with consequences, in any industry: sending a payment, changing a production schedule or updating a patient record. These are examples of actions, not customer deployments.
For technical readers
Decision records, signed evidence and our latest automated test of the controls are on one page, each with its date and limits.
Technical evidenceFrom a demonstration tenant with synthetic data. It is not a customer result.
Before a pilot. A pilot may start with a controlled demonstration on synthetic data. Installing ACP in your environment, cloud permissions and integration are scoped and priced as separate stages. A demonstration on synthetic data does not show that a live workflow is protected.
Talk through your situation.
Come with what you would like to change. You don’t need a technical brief; we work out the detail together on the call.
No charge, no pressure. Booking or attending the call does not commit you to buying anything; any paid work needs a separate written scope and price that you choose to accept. On the call we talk through your situation, agree the outcome you want and what success would look like, and see whether we are a fit. To change or cancel, reply to your calendar invitation.