AI Agents
Move from suggestions to governed action with AI agents that stay inside the trust boundary.
Use this page to explain the future direction clearly: AI specialists that can help complete work, but only with the context, permissions, and oversight the platform already provides.
Agent principles
This is the public promise: more autonomy where it helps, more control where it matters.
- +Agents are scoped to real roles and workflow boundaries.
- +Permissions and approvals still matter.
- +Observability and governance are part of the design.
What AI Agents should help with
Service work
Handle structured tasks
Pick up well-understood work with clear approvals and outcomes.
Case guidance
Recommend next actions
Summarize context, suggest moves, and prepare updates for human review.
Governance
Respect rules and auditability
Stay visible, reviewable, and bounded by permissions.
Keep exploring
Compare products, understand the platform, and decide where to go deeper next.
Use the product portfolio as the entry point, then move into platform, trust, and resources to understand how the experience is designed to scale.