Agent-Assist & Co-Pilot Support

Eliminate the system switching that slows agents down during live customer interactions.

Agents stop toggling between systems mid-call. The co-pilot surfaces account history, case context, and suggested next actions the moment an interaction starts, so time on the call goes into resolving, not searching.

Customer support agent on a headset using an AI co-pilot that surfaces customer overview and next best actions

How it works

Before the conversation

Before the conversation, the co-pilot assembles context, so the agent isn't starting cold:

  • Account history Account history
  • Prior interactions Prior interactions
  • Relevant case notes Relevant case notes from CRM and ticketing systems
During the conversation

During the conversation, suggests update in real time as the call moves:

  • Knowledge-base content Knowledge-base content matched to what the customer is actually asking
  • Suggested responses Suggested responses
  • Recommended next actions Recommended next actions, not a static script tree

What stays human

The co-pilot suggests; the agent decides. Every suggested response is a recommendation, not an auto-send. The agent reviews and adapts it to the actual conversation before anything reaches the customer.

The co-pilot handles information retrieval and recommendation. The agent retains responsibility for interpretation, tone, empathy, and judgment, including how to handle an unhappy customer.

Support agent on a headset with a checklist showing agent in control, human judgment, empathy in every interaction, and better customer outcomes