Read in place
Source records stay in the systems that hold them.
The platform
The operating platform for an enterprise AI workforce.
Ceez connects enterprise understanding, AI solution engineering, AI workers, governed execution and measurable outcomes in one operating model.
The architecture
One operating model, from enterprise to outcome.
From your enterprise to a measured outcome.
Enterprise
Your data, applications, systems, processes, policies and people. Ceez starts from what you already run.
Ground
Builds and keeps current an agreed understanding of the enterprise, so AI works from trusted context.
FDE Workbench
Where a real objective becomes a validated AI workforce: designed, tested and staged before it goes live.
Crew
Turns a business objective into coordinated AI workers that plan and do the work across your systems.
Govern
Sets how independently AI operates, what it may do, and where a person must decide.
Prove
Keeps the evidence, decisions, approvals and results, so every consequential action can be explained.
Business outcome
The result the objective was set to achieve, measured against its own target.
Enterprise
Works with the stack you already run.
Ceez works with the enterprise stack rather than requiring the enterprise to rebuild it.
Your permissions apply
Access follows the permissions those systems already enforce.
Your environment
Runs in your cloud, your data center, or air-gapped.
The Ceez model
Understand. Operationalize. Execute. Control. Prove.
Each layer has its own page.
Ground
Enterprise understanding.
Discover, understand, resolve, certify, watch and re-ground what the enterprise means.
FDE WorkbenchEnterprise operationalization.
Discover, define, design, build, test, deploy, observe and improve.
CrewEnterprise execution.
Workers, crews and objectives, with the skills and tools to do the work.
GovernControlled autonomy.
Autonomy, authority, permissions, approval gates, policies and human oversight.
ProveAccountable execution.
Evidence, decisions, auditability, approvals and outcomes.
FDE Workbench
From enterprise problem to production AI.
The FDE Workbench is the solution engineering environment used to turn a real enterprise objective into a validated, governed and deployable AI workforce.
- Discover
- Ground
- Define objective
- Design workforce
- Build
- Test
- Deploy
- Observe
Business intent
Start with what the business wants to accomplish.
A business intent is the goal behind an objective: what the business wants to be true. The objective gives it a target, a limit and an approver, so a crew can carry it out.
- Business intentWhat the business wants to accomplish.
- ObjectiveA target, a limit and an approver.
- PlanThe work, broken into steps.
- CrewWorkers with the skills and tools for the plan.
- ExecutionThe work runs, inside your limits.
- OutcomeMeasured against the target.
Technical architecture
How it is built, one row at a time.
The concepts come first. The detail is here when you need it.
Runtime Your agent runtime
Ceez runs on the runtime you already use, or a custom one. Runtime and sovereignty
Models Your models and keys
Bring your own model provider and keys, or run a private model on your own hardware. Runtime and sovereignty
Tools Granted step by step
Tool access is scoped to each step, so a worker can touch only what the step needs. Ceez Crew
Integrations Read in place
Ceez reads your systems where they are, under the permissions they already enforce. Ceez Ground
Identity Sign-in and roles
Sign-in through OIDC single sign-on, provisioning with SCIM, roles for access, and delegated identity for actions. Feature catalog
Data Stays with you
Source records stay in your systems. What Ceez derives stays in your deployment. Where your data goes
Deployment Your cloud or offline
Your cloud, your data center, or air-gapped with self-hosted models. One instance per customer. Trust and security
Security Controls built in
Per-step tool grants, approval gates and a hash-chained record. Security in detail
Observability Lineage, cost, quality
Lineage, cost and quality tracking, and a decision trace for every run. Oversight and evidence
Deployment
Runs where your enterprise runs.
In your cloud, in your data center, or fully offline with self-hosted models, one instance for each customer.
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