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Platform/AI Team Governance and Controls

AI Team Governance and Controls

AI Team governance defines the conditions under which work may be performed, information may be accessed, outputs may be released, and actions may be taken.

Governance applies to the interaction between people, Digital Employees, skills, tools, data, and workflow state. It should not be inferred merely because a user can access an AI interface.

Governance boundaries

Controls can include:

  • human identity and role
  • Digital Employee identity and role
  • data entitlements
  • source restrictions
  • tool authorization
  • action permissions
  • human approval gates
  • external communication controls
  • audit and logging requirements
  • evidence and citation requirements
  • escalation rules
  • release controls
  • change controls for jobs, skills, and workflows

Govern the job and action

Access to a Digital Employee does not imply permission to use every capability available to that employee.

The Customer AI Control Plane can evaluate both the person directing the work and the Digital Employee performing it:

Human authorization ∩ Digital Employee authorization = permitted access or action

This supports a model where the same Digital Employee can serve different users without exposing the same information or actions to everyone.

Human gates

Some work can proceed without intervention while higher-impact decisions wait for explicit human approval.

Human gates may be appropriate before:

  • committing the organization to a pursuit
  • contacting an external party
  • making a consequential recommendation final
  • changing an enterprise system
  • releasing a deliverable
  • submitting a proposal
  • taking an action outside predefined authority

The objective is not to require human approval for every task. It is to place organizational authority where the risk and consequence justify it.

Evidence and auditability

Governed work should preserve enough structure to understand what happened. Depending on the use case, that can include workflow state, source references, decisions, scores, approvals, exceptions, tool calls, and final artifacts.

Structured orchestration makes those checkpoints easier to inspect than an undifferentiated conversation history.