Workflow owner
Every flow has an accountable person, scope, and stop conditions.
Private AI Office
Managed AI capacity for daily operations
We design and operate workflows with least privilege, shadow mode, human control, and an audit log.
Operating model
The agent works within boundaries that can be explained
Private AI Office is a managed service. We do not hand over only a workflow; we also define approval, monitoring, and change control.
Private context
Access to data and tools is limited to the specific task.
Controlled changes
Prompts, rules, and integrations have a version and a path back.
Agent anatomy
A production agent is a system, not a single prompt
Each layer has its own job and must be independently controllable. That is why we separate the model from permissions, tools, and operational traceability.
Model workflowIllustrative example, not a client result.
Least privilegeThe agent receives only the tools and data required for its specific task.
Human-in-the-loopA sensitive step waits for approval from an accountable person.
RollbackA workflow change has a version, an owner, and a path back.
Audit logInput, decision, approval, and action remain traceable.
Start with one workflow
A private application gives us the context for an initial substantive assessment.