Company-wide AI execution

Make your company run on AI. Not just use it.

We redesign workflows around agents, connect your systems and embed them in daily operations. We build, prove the impact and hand over to your team.

ONE WORKFLOW FIRST · MEASURABLE IMPACT · YOUR SYSTEM TO OWN
0perator / execution layerWorkflow active
01 / ConnectCompany systemsData · tools · access
02 / CoordinateShared intelligenceContext · agents · rules
0peratorEXECUTION LAYER
03 / GovernHuman oversightQuality · audit · control
04 / DeliverBusiness outcomesWork completed · impact
ONE SYSTEM. MANY WORKFLOWS.BUILT WITH YOU. OWNED BY YOU.
The shift

The next advantage isn't another copilot. It's work redesigned around agents.

Copilots

Assist individuals.

The result

Productivity gains stay local.

0perator

Redesigns and runs complete workflows.

The result

Execution improves. Gains reach the P&L.

A first proof point

Product delivery, transformed.

Fintech · 400-person company
One workflow, end to end

A 400-person fintech runs its global product organisation on 0perator.

Product delivery was the first workflow transformed — from request to shipped code. Product and support teams can ship directly, without the traditional engineering handoff.

A proof point, not a declaration of our target vertical.
95%+of new code written and deployed automatically
5×faster shipping
30%lower OPEX after six months
0engineering handoffs for product and support teams
What changes

From fragmented work to governed execution.

Using product delivery as the example, here's what changes when agents run the workflow.

Before · fragmented
  • ×Requests move through queues and handoffs.
  • ×Context is scattered across tools and people.
  • ×Each step waits on the next available person.
  • ×Impact is difficult to measure.
After · agent-run
  • ✓Agents execute the workflow end to end.
  • ✓Shared context and permissions carry across tasks.
  • ✓People direct, review and govern the work.
  • ✓Quality, throughput and impact are measured.
In this fintech deployment: 5× faster shipping and 30% lower OPEX.Specific customer results, not a universal guarantee.
The platform

One intelligence layer. Every workflow builds on it.

Connect your systems and give agents the context, access and oversight to do real work.

Designed for ownership

Your data, workflows and IP stay yours.

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Shared company context

Agents work from your company knowledge, without starting from zero in every workflow.

⌘

Connectors, permissions and audit

Connect existing systems with governed access and an auditable trail.

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Model choice

Use the right model for each task. Stay independent of any single provider.

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Operational oversight

Manage execution, access and cost across deployed workflows.

ModelsYour router. Your choice.
DeploymentCloud or your environment
OwnershipYour data and IP
How we work

We build it. You own it.

We combine workflow redesign, platform and implementation — then hand over an operating capability your team can run.

01 / DISCOVER

Choose the workflow

Find a high-value process. Agree the baseline, target and measurement period.

One workflow to start
02 / DEPLOY

Build and embed

Connect systems, deploy agents and embed the new workflow with your team.

Typically 2–4 weeks to prove value
03 / HAND OVER

Transfer ownership

Once proven, hand over the workflow and operating knowledge. Scale what works.

Optional ongoing support
Commercial model

We earn when the work creates value.

Fees are linked to agreed operating savings — not seats or hours.

Typical performance fee
25%of agreed OPEX savings

We agree the baseline, target and measurement period upfront. A minimum commitment is typically set at 50% of the agreed target over that period.

Agreed before deploymentBaseline, target and measurement method.
Verified in operationFees calculated against measured savings.
Optional support and infrastructure contracts available after handover.
Start with one workflow

Find the process worth changing first.

In 30 minutes, identify a high-value workflow, the metric it could move and what a first deployment would involve.

Start with the process that costs too much, moves too slowly or relies on too many handoffs.

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