How AI Preserves Context During the Handover to a Human Agent

Handover is part of the experience

AI can handle routine questions and gather initial details, while people take on sensitive or complex cases. A hybrid service succeeds when customers reach the right help without a break in the conversation.

Make escalation explicit when the customer requests a person or the case exceeds the automated workflow. Explain the next step without promising an unverified response time.

Give the agent an actionable summary

A transcript is useful, but an agent also needs a concise overview of the customer's goal, verified details, and actions already attempted.

• The reason for contact and desired outcome.
• Relevant order or appointment details after appropriate verification.
• Earlier actions and their results.
• Why the case was escalated and what remains unresolved.

Illustrative example: a delivery change

A customer asks to change a delivery date. The AI collects the order reference and preferred date, but staff approval is needed. A useful handover states the current date, requested alternative, and checks already completed.

The employee can continue the request instead of repeating the questions. This is an illustrative service design example, not a documented customer result.

Measure continuity

Review repeated questions, summary completeness, and whether the case reaches the appropriate team. Keep shared context limited to necessary information and the team's access permissions.