/Ware AI

Ware
AI-driven talent intelligence

I led the product design for Ware's AI-led skills platform. A bold shift from traditional HR tools to a future-focused ecosystem for talent development. I defined the UX direction and designed foundational features such as blockchain-backed Career passports, skill-based credibility scoring, and AI coaching systems - shaping the vision, flows, and interactions ahead of full development.

Redefining how we track, trust and grow human potential

At-a-glance

Career anxiety. Skills gaps. Hiring that’s more guesswork than strategy. Ware approached this with a bold hypothesis: what if we could rebuild career growth from the ground up, with AI at the centre and user trust at the heart? As Senior Product Designer, I was brought in to lead product discovery and design Ware’s first-ever skills intelligence platform. One that transforms static CVs into dynamic, verified skills maps.

HR tools hadn’t kept pace

The problem

While AI was reshaping everything else, career tools remained stuck. Inside most organisations:
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- Employees lacked visibility into their growth paths
- HR teams couldn’t see the real skills in their workforce
- Hiring decisions were often based on intuition, not insight.

The workforce needed direction. Companies needed clarity. Neither had a system designed to support both.

Map real skills. Build trust. Help people grow.

The opportunity

Ware’s vision was simple but ambitious:
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- Surface verified skill data
- Help employees shape and share their career journey
- Provide organisations with a clear view of what their people are truly capable of

The platform would use AI to interpret skills and behaviours, and blockchain to verify skill claims. This would make skill ownership both portable and trustworthy.

Start with empathy. Build with clarity. Design for trust.

The approach

1. Rapid Discovery

- Led interviews with HR leaders, learning and development experts, and employees across sectors
- Mapped current experience journeys showing friction in planning, reviews and progression

2. Strategic Framing
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Synthesised findings into three opportunity areas:
- Giving employees more control and clarity
- Making skills both visible and credible
- Aligning development with business needs

3. Concept Exploration

Created early prototypes around key ideas:

Skills Graph: An interactive map of AI-recognised and verified skills
Smart Pathways: Adaptive career paths aligned to business needs
Skill Wallet: A portable, user-owned skills record backed by blockchain

Key insights from early testing:

- High engagement with personal skill ownership
- Interest in AI-powered guidance that felt like mentorship
- Initial mistrust around verification, which we addressed with full transparency and opt-in control

“What if your skills were visible, verifiable and completely yours to own?”

What’s next

While the product work is currently confidential, I can share more about the user feedback we gathered and how we’re shaping the planning process.

We’re continuing to:
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- Validate concepts with users across HR and individual contributor roles
- Refine experience flows around trust, transparency and skill ownership
- Collaborate closely with engineering and data science to define the MVP scope