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Agent Assist: How AI Empowers Customer Support

Agent Assist uses machine learning technology to provide suggestions to your human agents when they are in a conversation with a customer. Suggestions are based on your own uploaded data and therefore can be tailored to your specific business needs. Agent assist is a technology that empowers customer service agents by providing real-time support through AI-driven tools. It enhances efficiency, accuracy, and customer satisfaction by offering suggestions, information, and guidance during interactions. By automating routine tasks and providing access to relevant data, agent assist helps agents focus on complex issues and deliver exceptional customer experiences. Agent Assist tools are ones that enhance some area of the agents' experience inside their help desk or with other tools used in a ticketing workflow. Instead of replacing human agents, agent assist enhances their capabilities. By providing instant access to knowledge, workflows, and context, it reduces cognitive load and allows agents to focus on building rapport with customers. Tools in this market often provide features such as:
See Agent Assist In Action

What is Agent Assist?

Agent assist solutions act as an intelligent sidekick inside a customer service or helpdesk platform. They analyze the conversation - whether by chat, email, or voice transcription -and recommend actions based on customer queries, historical data, and company knowledge. Modern agent assist tools are often powered by artificial intelligence (AI) and natural language processing (NLP), which makes them adaptable to different industries and use cases. Earlier versions relied on static scripts or keyword triggers, but today’s systems understand context, intent, and even sentiment.

How Agent Assist Works

While specific implementations vary, most agent assist workflows follow this process:
1. Connect to the Agent Workspace
2. Listen and Interpret
3. Surface the Right Information
4. Guide Next Actions
5. Learn and Improve

Agent Assist Use Cases

Agent assist can be deployed across multiple business functions:

Benefits of Agent Assist

Agent assist can be deployed across multiple business functions:

Key Characteristics of Agentic AI

Feature
Who interacts with the customer
Purpose
Example

Choosing the Right Agent Assist Software

When evaluating solutions, consider:

FAQs

What is agent assist?

Agent assist is software that supports human agents in real time by surfacing answers, suggesting replies, and guiding next steps inside the agent’s workspace.

How does real-time agent assist work?

It connects to your helpdesk or CRM, interprets the conversation, retrieves relevant knowledge, and proposes actions the agent can accept or edit.

Is agent assist the same as a chatbot?

No. A chatbot talks to customers directly. Agent assist supports the human agent behind the scenes.

What are common agent assist use cases?

Suggested replies, policy lookups, troubleshooting flows, case summaries, translation, and next-best-action prompts.

What data sources can agent assist use?

Knowledge bases, help center articles, internal docs, past tickets, product guides, and CRM records.

How accurate is agent assist?

Accuracy depends on your content quality and model configuration. Most teams measure precision on suggested replies, policy adherence, and resolution rate.

How do I measure ROI for agent assist?

Track handle time, first-contact resolution, deflection to self-service, escalation rate, CSAT, and training time for new hires.

What’s the difference between agent assist and a copilot?

Agent assist focuses on customer interactions. A copilot spans broader tasks like drafting emails, reporting, and analysis.

Can agent assist summarize tickets and chats?

Yes. It can generate issue summaries and action items for faster handoffs.

Does agent assist support multilingual conversations?

Yes. Many tools auto-detect language and translate both ways, with agent oversight.

How does agent assist handle PII and compliance?

Use data masking, role-based access, and audit logs. Confirm vendor support for SOC 2, ISO 27001, HIPAA, or other required standards.

Will agent assist replace human agents?

No. It augments humans. Agents review and approve suggestions, especially for complex or sensitive issues.

How hard is it to deploy agent assist?

Most teams start with a pilot in 2–6 weeks. Success depends on clean knowledge sources and clear KPIs.

What features should I look for in agent assist software?

Strong search and retrieval, quality guardrails, feedback loops, analytics, and native integrations with your helpdesk and CRM.

Agent assist vs. agent assist bot: what’s the difference?

“Agent assist” helps humans. An “agent assist bot” often refers to an automated bot that can handle simple requests before handing off.

How do we reduce hallucinations in agent assist?

Ground responses in approved content, use retrieval-augmented generation, and require citations with human approval.

Can agent assist trigger workflows in other tools?

Yes. Many solutions can create tickets, update CRM fields, or launch automation directly from the suggestion panel.

What KPIs work best for an agent assist pilot?

Baseline and track AHT, FCR, CSAT, ticket backlog, and time-to-proficiency for new agents.

Where does agent assist fit in my support stack?

Alongside your helpdesk, knowledge base, and QA. It is the layer that operationalizes knowledge in real time.