Trust and governance

Trust should be designed into the work.

Important AI-supported work needs defined roles, approved context, bounded actions, human decision points and a record that can be reviewed later.

Governed by design

Make the operating boundaries visible.

These principles describe how roles, assistance, review and evidence are designed into an AI WorkBook solution.

Scoped roles

People and agents are assigned defined responsibilities within the workflow.

Approved context

The solution identifies the records, documents, policies and history intended to support the work.

Controlled actions

Actions and handoffs are designed around explicit permissions and operating rules.

Human oversight

Consequential judgement, exceptions and approval moments remain with accountable people.

Reviewable evidence

Sources, workflow events, reviewers, decisions and outputs can be kept connected when designed into the solution.

Bounded change

Supported changes can be prepared, reviewed and verified before they affect operational work.

Engagement-specific assurance

Confirm the practical trust boundary for the proposed solution.

Deployment, security and data-processing arrangements depend on the solution and environment being proposed. They should be documented with the responsible customer, technical and legal owners rather than assumed from a general product page.

Information boundary

Identify approved sources, sensitive information, retention needs and permitted use for the workflow.

Access boundary

Define the people, roles, administrative responsibilities and environment access required to operate the solution.

Action boundary

Agree which systems and tools may be used, which actions are permitted and where approval is required.

Assurance boundary

Record the deployment, support, monitoring, change and recovery arrangements that apply to the engagement.