Agent Response Recommendation uses AI to suggest responses and next actions to live agents, enabling faster and more consistent service, by ranking knowledge and case context against the live interaction, across contact center and agent desktop.
Live agents must answer customers accurately while navigating several systems and a large knowledge base in real time. New and busy agents give inconsistent or slow answers, which lengthens interactions and produces uneven service quality across the team.
The AI generates a ranked recommendation of responses and next actions for the agent during a live interaction, drawing on knowledge articles and case context so the agent confirms an answer rather than composing it from scratch.
Reduces average handle time and increases the consistency of responses across agents.
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