An agent copilot is an AI-powered assistant integrated directly into an agent's workspace that goes beyond real-time suggestions to actively automate repetitive tasks across the entire interaction — from pre-conversation context gathering through resolution and post-interaction wrap-up. The term is often used interchangeably with agent assist, but copilot typically implies broader task execution, not just recommendations.
Common copilot capabilities:
- Auto-summarization: Generates a case summary after each conversation so agents skip manual note-taking.
- Draft composition: Produces a full reply draft the agent can review and send with one click.
- CRM (customer relationship management) updates: Logs interaction outcomes automatically.
- Proactive alerting: Flags when a conversation tone shifts negative or an SLA (service-level agreement) is at risk.
Copilots are evaluated on task completion rate (how often the agent accepts or uses the AI output), time saved per interaction, and downstream quality metrics like CSAT and FCR. The key distinction from fully autonomous bots is that a human agent remains in the loop and retains final decision-making authority.