Leading UX Design for an Enterprise-Grade AI Platform

Case Study: Mantium — Secure RAG Chat for the Enterprise

Designing a No-Code AI Platform Built on Security and Scale

Mantium is a generative AI platform that enables enterprises to build secure, AI-powered chat applications using their own data—no code required. Designed for teams with strict compliance and security requirements, the platform leverages Retrieval-Augmented Generation (RAG) to deliver intelligent, context-aware responses.

As the product designer, I led end-to-end design efforts across feature planning, prototyping, research, and dev collaboration—delivering a human-first interface in a fast-paced, AI-driven environment.

The Challenge

Enterprises wanted to deploy custom AI chat systems using their internal data, but most solutions lacked security controls, intuitive design, or required engineering resources to build. Mantium’s challenge was to deliver enterprise-grade functionality without complexity through a design that could bridge the technical sophistication of RAG with an approachable no-code UI.

Research and Conceptualization

We conducted in-depth research targeting enterprise customers seeking secure, AI-enhanced communication platforms. Competitive analysis of leading platforms, including Anthropic, Google, and OpenAI, informed our design strategy. This research ensured that our product not only met user expectations but also exceeded industry standards.

My Role & Approach

End-to-End Product Design: Led all stages of the product lifecycle—from gathering requirements to shipping high-fidelity designs. Created user flows, wireframes, and clickable prototypes tailored for enterprise-level use cases.
AI Research & Strategy: Conducted deep research into enterprise AI adoption needs and expectations. Benchmarked against leading competitors (Anthropic, OpenAI, Google) to define differentiators and shape the product roadmap around user trust, data privacy, and ease of use.
Rapid Iteration & Startup Agility: Adapted designs weekly in response to fast-changing technical specs and user feedback. Maintained close communication with leadership and engineering to balance feasibility with UX quality.
Developer Collaboration: Used GitLab, Loom, and Slack to manage async design reviews and streamline implementation. Shared Figma prototypes and design specs that supported tight weekly release cycles across a growing international team.
Human-Centric Interaction Design: Focused on natural, intuitive interactions to ensure that a technically complex product felt lightweight and accessible. Designed conversational interfaces that emphasized clarity, context, and user trust.

Results

Successfully launched the Mantium RAG Chat platform to enterprise customers
Delivered production-ready designs for critical workflows like chat setup, knowledge ingestion, and prompt configuration
Positioned Mantium as a secure, no-code alternative to major AI platforms
Supported an international team of 25+ across design, engineering, and product—delivering on tight weekly sprint cycles
Improved UX velocity and iteration through AI-assisted design workflows and feedback loops

What This Project Proves

Building secure, enterprise AI tools doesn’t have to mean complex UX. With clear communication, smart research, and rapid prototyping, even the most technical products can be made accessible. This project reinforced how GenAI design workflows and cross-functional alignment can move fast without breaking trust or usability—especially in mission-critical enterprise environments.