Why Ceez · Compared with AI agents

An agent does a task. Ceez owns the objective.

An agent is the right tool for one task. Ceez is for an objective the business is accountable for, and it runs on the agent runtime you already use.

  • Keep your agents.
  • Add a plan.
  • Add accountability.

Where agents fit

Use an agent when the job is one task.

A stand-alone agent is simple to reason about.

One defined task

One role, with a clear start and end.

A person reviews

The result goes to someone before anything happens.

Your team owns it

You have people with time to build and run it.

Side by side

Where each one stops.

ApproachGood atWhere it stops
A single agentOne well-defined task, done well.One role. Work that crosses teams needs a person to carry it between steps.
Agent frameworks you buildFull control for a team with time to own it.Approvals, limits, audit and testing become projects of their own.
Agent runtimesRunning one step: a model call with tools.A runtime does not own the plan, the approval gates or the shared context.
Agents without shared meaningQuick answers from the sources they can reach.Conflicting definitions are not settled, so answers vary.
CeezCoordinated workers on one objective, on agreed meaning, inside limits, on a record.Not a general chat assistant. Built for work that needs an owner.

How they work together

Ceez runs on the runtime you already use.

A runtime executes a step. It never owns the route, the gates or the context. The platform does.

Stays as it is

  • Your agent runtime, or a custom one
  • Your models and keys
  • Your cloud, your data center, or offline

What Ceez adds

  • A plan, and specialized workers to carry it out
  • Gates that stop out-of-authority actions for a named approver
  • Agreed meaning, so every worker uses the same definitions
  • A record of every action

Where to start

Match the tool to the job.

  • One task, one owner. An agent is enough.
  • An objective across systems, with a target, a limit and an approver. Use a crew.
  • Not sure. Bring one objective and test it on your own data. How an engagement works.

Judge it on one objective.

Bring one objective. We will scope it against your own systems.

Get started

Give Ceez one objective.

See how Ceez turns a real business objective into a working, governed AI workforce. A Ceez engineer uses the FDE Workbench to understand your environment, ground the objective and show you how it would run, with controls from day one.

  • A 45-minute walkthrough with an engineer
  • Your objective, scoped against your own systems
  • Your environment: your cloud, your data center, or air-gapped
  • Your controls, from day one

Prefer email? Write to info@ceez.ai

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