SkillsAware Conversational AI

Project Overview

SkillsAware had a working MVP and needed it to become a scalable product. I was engaged to lead that transition — AI-led on both sides of the work: the product itself, and the process used to design it.

The constraint

The interface had become the barrier to adoption. The platform's core users work with complex data, and the MVP's screens had not been built for that load. Conversational AI compounded the problem — a chat flow cannot be meaningfully judged from a static mockup, because the thing being designed is a back-and-forth, not a screen.

Approach

• Codified the MVP into a scalable system so product direction and prioritisation had something firm to work from.
• Advanced the chat feature into a multi-agent AI model tailored to distinct workflows and personas.
• Designed with AI rather than about it — prototyping conversational flows as working interactions instead of static screens, so they could be tested honestly.
• Redesigned the interface against customer feedback to remove the adoption barrier.
• Delivered interactive prototypes the sales team used for validation and pitching.

Outcome

The platform was positioned for expansion into additional industries and use cases, with a design system behind it rather than a set of one-off screens.