Improve customer satisfaction

Provide accurate, contextual & personalized responses that reduce resolution times and increase customer satisfaction.

Boost agent productivity

Eliminate agents’ manual tasks with auto-case summarization, recommended next-best actions, and seamless collaboration between agents and AI.

Cut support costs

Get proactive issue alerts and autonomous resolutions by seamlessly orchestrating processes in real-time to reduce mean time to resolution (MTTR).

Automate everyday tasks and get more done

  • Case identification
  • Intelligent swarming
  • Knowledge generation

Case identification

Streamline ticket creation and management with Aisera Agent Assist, using automated workflows for seamless triaging, auto-populated fields, and intelligent routing – all within the embedded agent interface.

Case identification

Intelligent swarming

Analyze ticket content and automatically identify cases that require cross-departmental collaborations and create swarm channels in conversational tools like Microsoft Teams, Slack, Webex, and more to boost resolution efficiency.

Intelligent swarming

Knowledge generation

Automatically generate knowledge articles from agent actions with AI agents. When no matching article exists, save new articles to the knowledge base, ensuring faster and more accurate ticket resolution for similar issues in the future.

Robust Change Risk Advisory

Frequently asked questions

What does Agent Assist mean?

Agent Assist refers to AI-powered tools that support human agents during customer service or IT support interactions. Instead of agents performing manual work, it helps them by providing relevant information, suggestions, and workflows in real time. The goal is to improve speed, accuracy, and the overall quality of the interaction.

How does Agent Assist work?

It works by analyzing the conversation as it happens – through voice, chat, or ticket context – and then using AI models to determine the intent behind the request. Based on this understanding, it surfaces knowledge articles, recommended actions, and automated workflows to resolve the issue faster. It continuously learns from historical conversations to improve recommendations and become more context-aware over time.

What is an example of Agent Assist?

A common example is when a support agent gets a real-time suggestion fixing a SSO sync issue, along with validated troubleshooting steps and a guided workflow to execute the action. Another example is when the system automatically surfaces relevant CRM data, user history, or billing information based on what the customer is asking. These AI recommendations help agents respond confidently and resolve issues more efficiently.

What are the benefits of using Agent Assist?

Agent Assist reduces the time it takes to resolve issues by giving agents the right answers instantly, without manual searching. It improves accuracy by standardizing the information agents provide, which leads to better customer satisfaction. Additionally, it reduces training time for new agents, helps handle higher ticket volumes, and improves agent productivity and confidence.

Elevate experiences and exceed expectations. With agentic AI.

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