AI Agent Runtime
AI Agent Runtime is the execution layer for iDialogue agents and skills inside Salesforce operations.
Runtime architecture
How agent runtime coordinates execution, context, and governance controls.
Capability diagram for production agent runtime operations.
Core capabilities
- Run agents in real-time conversations and background jobs.
- Attach agents to records so responses stay context-aware.
- Compose skills that query, update, and orchestrate Salesforce workflows.
- Control run lifecycle, session continuity, and execution boundaries.
Typical outcomes
- Faster operational automation without custom orchestration code.
- Consistent agent behavior across chat, task, and event-driven execution.
- Reliable production rollout from pilot to scaled deployment.
Operational model
- Agents are configured with reusable prompts, skills, and permissions.
- Runtime policies enforce who can run agents and what tools they can use.
- Session and token controls support secure customer and internal experiences.