Read in place
Source records stay in the systems that hold them. They are not bulk-copied.
Integrations
Work with the systems you already run.
Ceez works with your enterprise stack rather than asking you to rebuild it.
Your data
Do we have to move our data?
No. Ceez reads your ERP, CRM, data warehouses and documents where they are.
Your permissions apply
Access follows the permissions those systems already enforce.
What Ceez derives stays with you
Definitions, lineage and memory live in your deployment.
Certified meaning goes back
Ground publishes its certified result to the semantic layer you already use.
Your tools
How do AI workers reach our systems?
One step at a time, and only as far as the step needs.
- GroundTakes inventory of your sources and keeps track when they change.
- BindEach step is given exactly the tools and knowledge it needs, pinned so the run can be reconstructed.
- ActThe action runs with the permissions of the person it is done for.
- RecordEvery action lands on the audit trail.
Tool access is resolved before a step runs, not by what a worker reads. Anything past its limit stops and asks a named approver. How it is governed
Your people
Who signs in, and as whom?
- Sign-in. Through your identity provider, with OIDC single sign-on.
- Provisioning. People are provisioned with SCIM.
- Access. Granted by role, to resources.
- Isolation. Each customer runs its own instance, with tenant isolation inside it.
- Actions. Delegated identity means an action carries the person’s permissions, not a shared account.
Your runtime and models
What do the AI workers run on?
Whatever you already use.
Your agent runtime
Ceez is runtime-agnostic. A runtime executes one step. It never owns the route, the gates or the context. Ceez runs on GCP Gemini Enterprise, AWS Bedrock AgentCore, Azure Foundry, Claude Code, Codex, or a custom runtime.
Your models and keys
Bring your own model provider and keys, or run a private model on your own hardware.
Your approvers
People approve in the tools they already use.
Go further
See where it runs, and how it is checked.
Deployment Runtime and sovereignty Where your data goes Feature catalog
Keep your stack. Add the crew.
Bring one objective, and 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