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Automate work you haven’t trusted AI to do.

We turn knowledge into dependable intelligence.

Our enterprise control platform organises work around the outcome you need, delegates only the authority required and keeps unfinished work owned.

One platform. Products for consequential work.

Start with a decision or operation worth improving. Build on the same foundation as you give AI more responsibility.

Decision Control

Evaluate the financial substance of an AI proposal before it becomes an action. Decision Control combines proprietary quantitative analysis with your firm's limits, permissions and approval requirements to govern what proceeds.

Explore Decision Control
Where could AI take more work off your team?

The order was cancelled. It still arrived.

Imagine asking an AI assistant to cancel an order. It confirms the cancellation because the order system accepted the request. But the parcel has already shipped, and the refund has not started.

The AI assistant has finished its task. The customer still needs the company to finish the job.

Who takes responsibility now?

Your customer should not have to coordinate your company to get the result you owe them.

Capability is not authority.

We make AI boring. More reliable. More predictable.

A 29-second film.

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Reliable AI starts with the result the business owes.

The outcome determines the work, the authority to act and the evidence needed to establish completion.

Our Controlled Operations doctrine sets out how those responsibilities should continue as the work passes between AI, systems and people.

How we approach the work

  1. We start with the outcome.

    Read about our outcome-based approach
  2. We delegate only the authority needed.

    How we put delegated authority to work
  3. We keep unfinished work owned.

    Why closed does not always mean resolved
  4. We control whether AI can proceed.

    See how Decision Control works
  5. We verify results with evidence.

    How we verify results with evidence
How Decision Control evaluates a proposal

Purpose-built for enterprises.

Our team brings decades of combined enterprise deployment experience.

Integration
Connect your systems, test the agreed workflows and prepare your team for launch.
Hosting & security
Agree hosting, data residency and access requirements with your IT team.
Ongoing support
Plan monitoring, maintenance and incident handling, with clear operating responsibilities.
Explore deployment & support

Check referral details before scheduling.

Entellex flags missing information before an appointment can be scheduled.

Explore this example
RequestThe user asks to schedule a referral

An incomplete referral does not move toward scheduling until the missing referral context is captured.

Review artifactRequired details captured before action

Missing referral detail recorded. Scheduling paused. Next step: collect required referral context before approved scheduling movement.

Controlled step
Required detail capture
Outcome
Entellex treated the referral as incomplete, paused scheduling, and made the missing required detail the next controlled step.
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Each improvement should make the next one easier.

Keep the knowledge, connections and controls that prove useful. Apply them to related work where they fit as you give AI more to do, even when the tools change.

People keep the direction: which outcomes matter, where to invest and what needs to improve. That is the enterprise we are working towards.

How we think about the whole enterprise

Start with one job worth improving.

Tell us what you want AI to handle. We will work through the result you need, where Entellex fits and a useful way to begin.

Talk to us