In today’s fast-moving support environments, agents are expected to be fast, accurate, and empathetic—often all at once. But juggling systems, digging through documentation, and manually updating tickets makes that nearly impossible.
That’s where agent assist comes in.
More than just a chatbot or script generator, agent assist tools use AI to guide agents in real time, offering smart suggestions, contextual information, and even automation—all while the conversation is happening. In this post, we’ll break down what agent assist really means, how it works, and why more support teams are making it a cornerstone of their contact center strategy.
Agent assist refers to software that helps live agents during customer interactions - not after, not before, but while it’s happening. It runs behind the scenes, using AI and context from the agent’s screen or conversation to:
Suggest responses or actions
Pull in knowledge base articles
Fill in fields automatically
Route the next steps through the right tools
It’s like a real-time coach and copilot rolled into one - always watching, always ready to help.
Let’s say your agent is responding to a refund request in Zendesk. A traditional workflow might involve:
Reading the ticket
Searching the help center
Asking someone on Slack
Copy/pasting a macro
Manually updating the refund tool
With agent assist in place:
The tool identifies it’s a refund ticket.
It surfaces the right article or internal policy.
It suggests the correct response with prefilled details.
It updates the backend system with a click.
All without switching tabs. All in real time.
| Feature | Why It Matters |
|---|---|
| 🧠 AI-Powered Suggestions | Saves time and ensures consistency |
| 📚 Knowledge Surfacing | Reduces manual searching and guesswork |
| 🪄 Workflow Automation | Executes backend tasks like ticket routing |
| 🖥️ Context Awareness | Understands what's on the agent's screen |
| ✍️ Tone and Grammar Support | Helps polish messages instantly |
Some tools, like PixieBrix, can even read what the agent is working on and update other systems without the agent needing to touch them.
Faster Resolution Times – Agents move quickly with fewer clicks and fewer decisions.
More Consistent Responses – AI ensures policies and tone are followed every time.
Lower Escalation Rates – Junior agents can handle more with intelligent support.
Shorter Ramp Times – New hires get up to speed faster with guided flows.
| Type | Description | Example Tools |
|---|---|---|
| Writing Assistants | Improve tone, suggest replies | Intercom Fin, Grammarly Business |
| Context-Aware Assist | Act based on screen content or DOM structure | PixieBrix |
| Knowledge Integrators | Surface internal and external documentation | Glean, Guru |
| Action Triggerers | Update tickets, create Jira issues, send Slack messages | PixieBrix, Sierra AI |
| Tool Type | Talks to Customers? | Assists Agents? | Executes Workflows? |
|---|---|---|---|
| Chatbot | ✅ Yes | ❌ No | ❌ No |
| AI Copilot | ❌ No | ✅ Yes | ⚠️ Sometimes |
| Agent Assist | ❌ No | ✅ Yes | ✅ Yes (when designed to) |
Agent assist doesn’t replace humans - it supercharges them. It lives inside the tools agents already use (like Zendesk, Salesforce, Gmail), guiding and acting on their behalf.
It also plays nicely with other AI investments:
It complements self-service tools by resolving what chatbots can’t.
It reduces the burden on backend automation and RPA.
It ensures every ticket, email, or chat is powered by relevant info and next-best-action logic.