What is Agent Assist?
Converge Team
AI tools that help human agents respond more effectively
What is Agent Assist?
Agent assist refers to AI features that augment human agents during conversations rather than replacing them. Core agent assist capabilities include: reply suggestions (AI drafts a response for the agent to review), real-time translation (translating incoming messages and outgoing replies), knowledge base retrieval (surfacing relevant articles as the agent reads the conversation), and sentiment indicators (flagging frustrated customers).
The key principle is human-in-the-loop: the AI provides assistance, but the agent makes the final decision on what to send. This combines AI speed and consistency with human judgment and empathy—the AI handles the routine cognitive work (finding information, drafting text) while the human handles the relationship and decision-making.
Why Agent Assist Matters
Agent assist delivers AI benefits without the risks of fully autonomous AI. When AI drafts a reply and a human reviews it, you get 80% of the speed benefit with near-zero risk of the AI sending an incorrect, inappropriate, or off-brand message. For support teams, where a single bad response can damage a customer relationship, this safety net is essential.
Agent assist also has a training effect. New agents learn faster by reviewing AI-suggested responses—they see how experienced teams would handle similar questions. Over time, agents internalize these patterns and become faster even without AI assistance. It's like having a senior agent looking over your shoulder, offering suggestions.
Agent Assist in Practice
A team enabled agent assist with three features: (1) reply suggestions—AI proposes 2-3 responses for each incoming message, (2) smart compose—AI auto-completes sentences as agents type (like Gmail's Smart Compose), and (3) knowledge retrieval—relevant help articles automatically appear in the agent's sidebar based on the conversation topic. Agents reported 40% faster response composition, and new agent onboarding time dropped from 2 weeks to 5 days because the AI effectively taught them common response patterns.