01 / Build
Business context becomes a working agent
Start from a domain pack or define an outcome. Connect approved knowledge and systems, select skills, and set the least authority the work needs.
Explore buildThe enterprise agentic operating model
Enterprise agents.
Your authority.
Give agents the context to do useful work. Set the boundaries they must respect. Build an enterprise capability you can understand, govern and improve.
Business context. Explicit permissions. Human oversight.
The agent operating model01 — 03
Domain knowledgeBusiness contextUser & task
A useful agent.
Understands the work. Knows its scope.
Explicit authority. Every action.Policy checks · human approvals · run evidence
01Build02Test03Run04Prove05Improve
One connected platform
From a useful idea to a working agent.
Agent Builder is where you create. The wider CoA platform is how you test, govern and operate. The whole lifecycle, with the business in control.
02 / Test
Check the boundaries before release
Ask what a policy change would allow. Run authority probes, compare configurations, and block release when required tests fail.
Explore test03 / Operate
See decisions and manage change
Run agents in Studio, review held operations, inspect receipts, and follow changes in authority across the fleet. Reviewed feedback can become future tests.
Explore operateUseful does not mean unlimited
An agent can know the answer.
That doesn’t mean it may act.
CoA separates what an agent knows from what it is allowed to do. Every governed action meets an explicit boundary. Some proceed. Some wait for a person. Some are refused.
Try the example. Change the scenario and see how authority changes the outcome.
Explore governance & evidence Campaign operations agentIllustrative walkthrough
01 · Requested action
Apply an update to a campaign record
The write waits for human approval
A resumable web run holds this exact operation and its arguments. A different org admin must approve; changed policy or arguments invalidate that approval.
Approval obligation
Decision and outcome stay distinct
No held write executes while approval is pending.
Approval bound to one operation
Example scenarios, not a live policy evaluation. No model calls, files or external actions. Real run evidence is inspected in Monitoring.
Start with the work
Find your next agent use case
Explore 420 proposed opportunities across 14 domains, create a use case for your own goals, or estimate the value of an idea you already have.
No account needed. Choose an example to shape your use case, or start a business case from a blank calculator. A brief is a starting point, not a deployed agent.
Built around your business
One shared foundation.
Many useful agents.
Stop rebuilding the same understanding for every agent. Reuse domain knowledge, add your business context, and scope it to the person and task.
Explore the context modelDomain model
The concepts, terminology, workflows and risks shared by agents in a business area.
Business context
Company policies, approved claims, systems and data models that describe how your organization works.
User and task context
The active role, workspace, approved data access and purpose of the current task.
The improvement loop
Learn from the work. Test the next change.
A useful enterprise agent is never finished. Review its decisions, understand exceptions, and turn verified corrections into tests for the next release.
- 01
Inspect
Review the run, its outcome and the available evidence.
- 02
Review
Bring the decision to someone who understands the domain.
- 03
Improve
Promote a verified correction into a dataset case.
- 04
Test again
Check future releases against the required tests.
Enterprise AI agents, explained
Questions about governed agents
What is Center of Agentic?
Center of Agentic is a platform for building, testing and operating governed enterprise AI agents. Agent Builder is its creation capability. The wider platform connects business context, explicit permissions, human review and run evidence.
How is an agent’s knowledge different from its authority?
Knowledge helps an agent understand a task. Authority determines which actions it may perform. CoA starts with default deny: every applicable allowlist must grant an action, and any matching deny blocks it. Context alone cannot grant permission.
Where can we find enterprise AI agent use cases?
The public use case explorer contains 420 proposed opportunities across 14 business domains, including marketing, sales, finance and operations. No account is needed to browse. These are editorial proposals, not deployed agents, verified integrations or guaranteed returns.
How do we start a governed agent pilot?
Start with one CRM or marketing workflow, an accountable owner and a measurable baseline. The advertised pilot is €10,000 over 12 weeks for one agreed use case. Scope, access prerequisites and acceptance measures are agreed before kickoff; results depend on the workflow.
Does Center of Agentic provide offline AI?
The web workspace is available and the macOS desktop is an alpha. Desktop file access is project scoped; model reasoning uses a server proxy where policy permits. There is no automatic local-model fallback. Offline leases and hardware attestation remain planned.
One workflow. A real starting point.
Start focused.
Expand with evidence.
One CRM or marketing workflow. An accountable owner. A measurable baseline. A governed pilot that helps you decide what comes next.
€10,000