EXAMPLE WORKFLOWS
Explore customer-service exceptions, employee learning, policy guidance and customer-facing expert experiences. See how knowledge, values and context shape recommendations while independent permissions govern integrated actions.
BUSINESS APPLICATIONS
For your employees. For your customers. Shape expert-guided AI around your knowledge, values and review needs.
Bring service policies and customer circumstances into a proposed exception. Surface missing evidence and review needs before an authorized person decides.
Give reviewers more context for sensitive service decisions.
Use approved expert knowledge for employee learning, with attribution, reflection questions and sources reviewers can inspect.
Help employees explore domain expertise and apply it to their work.
Explain a policy in the context of a team’s work. Distinguish source facts from interpretation and escalate ambiguous or out-of-scope requests.
Give teams clearer policy context and a defined path to review.
Build an experience around licensed domain expertise, your audience and permitted uses. Keep the expert’s perspective and review responsibilities visible.
Bring relevant expert perspectives into your customers’ experience.
SCENARIO LAB
Choose a scenario to see the rights, values, policy and next step behind each recommendation.
Fewer out-of-policy releases; traceable authorized approvals.
VALUE / BOUNDARY / OUTCOME
Reliability and accountable change.
Required checks and release-owner approval must be attached to this exact change.
HOLDAGENT-PROPOSED ACTIONDeploy an emergency production fix before required tests and release approval are complete.
Rules-based example. No connected actions are taken.
Next step
Build around your knowledge. Choose your audiences, uses and review process.