AI in CRAIM should be treated as an operating layer, not as an isolated chat assistant.
Main AI surfaces
- AI actions
- qualification flows
- draft suggestions for follow-up
- channel and trigger-based execution
- post-event reasoning for next best action
Operating modes
Manual
Use manual behavior when the team wants full human control over when AI runs.
Copilot
Use copilot when AI should suggest, draft, classify, or recommend, but a human still reviews customer-facing output.
Autopilot
Use autopilot only after rules, evidence, and review confidence are strong enough for that workflow.
Approval principle
If the action can affect a customer or revenue outcome directly, approvals and logging should be clear enough for humans to review what happened and why.
What AI actions should do
- reduce manual triage
- draft faster from evidence
- surface next-step recommendations
- keep execution tied to CRM state
What AI actions should not do
- invent unsupported product facts
- hide decisions only in model output
- replace pipeline discipline
- send broad outbound without governance
Trigger-driven behavior
CRAIM already contains AI-related backend modules for AI, AI actions, AI employees, AI workspace, and AI calls. That means the product is designed for multi-surface AI operation, not a single assistant window.
Recommended rollout
- 1Start with qualification and suggestion flows.
- 2Keep outbound supervised.
- 3Monitor accuracy and missing evidence.
- 4Expand trigger coverage after review quality stabilizes.