AI Agent Builder
Designing an Enterprise AI Agent Builder Platform
Overview
We partnered with an enterprise client to design a visual agent builder that empowers teams to create LLM-powered workflows. We led research and end-to-end UX/UI design across core product areas, including workflow creation, agent configuration, secure data infrastructure, and future monetisation.
Our work focused on making complex AI agent creation more intuitive for enterprise users, balancing flexibility, security, and scalability through a visual node-based builder designed for secure internal business automation.
Our work focused on making complex AI agent creation more intuitive for enterprise users, balancing flexibility, security, and scalability through a visual node-based builder designed for secure internal business automation.
The Challenge
Building AI agents often requires technical expertise, creating barriers for enterprise teams seeking secure, no-code or low-code automation solutions.
Our client wanted a platform that could simplify advanced AI workflow creation, protect sensitive enterprise data, and provide scalable tools for operational deployment, while remaining accessible to professional users.
Our client wanted a platform that could simplify advanced AI workflow creation, protect sensitive enterprise data, and provide scalable tools for operational deployment, while remaining accessible to professional users.
AI Agent Builder Canvas
We designed the platform’s core visual builder as a flexible canvas where users could create AI agents by connecting modular nodes.
- Performance metrics
- Token usage dashboards
- Query type analytics
- PII and Compliance settings
For example, customer support teams could build automated triage agents that classify support tickets, assign priority, and route requests to the correct departments.
The goal was to make sophisticated AI orchestration understandable and operational for enterprise teams.
The goal was to make sophisticated AI orchestration understandable and operational for enterprise teams.
Agent Settings and Enterprise Controls
Beyond workflow creation, we designed comprehensive management systems for configuring and monitoring deployed agents.
- Performance metrics
- Token usage dashboards
- Query type analytics
- PII and Compliance settings
These features helped enterprises maintain visibility, governance, and operational control over their AI systems.