Procurement AI

Omnea

I accelerated development velocity by clearing 20+ design tickets in just 8 weeks, removing ambiguity for engineering. I simultaneously led the early-stage design of Omnea AI—establishing its visual presentation and configuration suite—while contributing fresh strategic perspectives to the wider design team.
CLIENT
  • Omnea
ROLE
  • Product Designer
DATE
  • 2024
Product Designer
Collaborated with executive-level, design and technical teams
3 months
Focused on rapid execution, balanced with high-level strategic problem solving.

Omnea

Omnea is a startup that offers an AI-powered platform to help companies manage their entire purchasing and supplier process, from employee request to payment. They recently secured a $50M Series B round (Sep 2025).

Quick action

Technical communication
Task execution
UI design
Rapid prototyping
Design feedback
Ticket creation
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AI experience

Explainable AI (XAI)
AI Tone of Voice
Visual Pattern Definition
AI Configuration UX
High-Fidelity UI

Enabling the future of Omnea

Quick action

Design execution to unlock product direction

Focused on rapidly clearing a critical backlog of design tasks through UI design and flow refinement. This execution-heavy support relieved immediate pressure on the team, removing bottlenecks and freeing up internal resources to focus on high-level strategy and future roadmap planning.

AI experience

Defining the Visual Language of Platform AI

Users were stuck doing heavy manual typing and complex data review. Nathan designed an AI experience to automate these core tasks—building flows where documents auto-fill forms instantly, designing visual markers so users trust the data, and creating smart summaries that rank recommendations to make decision-making easy.

outcome

Unblocking Velocity & Humanizing AI

In an aggressive 8-week sprint, I eliminated a critical backlog of 20+ tickets by delivering developer-ready specifications, effectively removing all design blockers. Beyond velocity, I defined the visual patterns and tone-of-voice for the Platform AI, transforming "black box" logic into trusted, explainable insights.

8 Weeks

To clear critical backlog of 20+ tickets

Zero

Design blockers remaining for engineering

learnings

Decisive Action & Designing for AI Trust

Managing Ambiguity: I refined my judgment on when to pause for clarity versus executing on instinct, allowing me to unblock vague requirements without killing velocity.

AI as a "Helper": I learned that adoption relies on trust. I shifted the AI interaction model from a "black box" to a transparent partner—constantly informing the user why a suggestion was made so they feel in control of the decision.

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