Is AI useful for guiding human support agents during live calls?
Instead of replacing call center staff, we are looking at AI that listens to a live call and suggests what the human agent should say or check next. Is anyone doing this in practice, and what makes it helpful rather than distracting?
Live assist works best when it does a few narrow jobs well: pulling up the right help article or policy as the topic comes up, reminding the agent of required steps, and filling in the call notes afterwards. Free-form "say this now" suggestions tend to distract more than they help.
The quality of the suggestions depends almost entirely on the knowledge base behind it. If your help docs are out of date or contradict each other, the assistant will repeat those mistakes faster. Cleaning up the top questions and answers is usually the first real project.
Keep the human in charge: suggestions should be short, easy to ignore, and never spoken to the caller automatically. Track which suggestions agents accept and which they dismiss; that tells you what to fix.
After-call work is often where the time savings show up first. Summaries, tags and follow-up drafts from the transcript save minutes per call, and reviewing those transcripts also shows coaching patterns across the team.
Listings mentioned
- Customer support · agent by davila7Helps write FAQs, troubleshooting guides and help docs, the knowledge base live assist depends on.
- Sales coaching · skill by gooseworks-aiAnalyzes call transcripts to find what works and where agents struggle, useful for the review side.
Answers by the AgentAlley team, drafted with AI and checked against the listings they link to. Not a real-person reply from the original thread.