Agent Assist
Company / Brand
Year
Role
Sector

Agent Assist is an AI-powered companion widget which helps Customer Service agents in responding to customers during live interactions. It monitors conversations and integrates with the knowledgebase to dynamically offer solutions, generate FAQ responses, monitor customer sentiment, translate conversations and auto-create interaction summaries.
Overview
AI Agent Assist is a new (and one of the first) AI-powered product offered by Enghouse in the CX space.
As design director on this project, together along with a senior designer, we worked closely with the Product team to research, test and deliver final designs.
Agent Assist although net-new, would be offered as a premium upgrade to an existing product, the Knowledge Assistant widget. Due to this, it would live in the same user interface as the Knowledge Assistant.
Approach
The design process for the product commenced with defining and understanding the requirements. This involved multiple meetings with the product manager, complemented by in-depth conversations with external account managers to gather crucial insights and expectations from our existing clientele in our Contact Centre Enterprise software space.
The team began working on the wireframes and high fidelity concepts in parallel. Since Agent Assist had a UI foundation defined, this made it easy to take this approach.

The high-fidelity concepts were mostly for the individual components which would make the User Interface. For example, a message from the AI Assistant, the types of messages etc.
Challenges, Goals
Designing a user experience to display relevant information during a fast-moving conversation (live chats and voice calls).
To reduce cognitive overload for customer service agents while managing multiple conversations.
Outcome & Progress
The first version of the Assistant is scheduled for launch in Q2 of 2026. Following launch the UX team will work closely with Product to gather user feedback, and begin work for version 2 with a additional features and user experience improvements.



