AI & Vibe Coding

Designing the first AI layer of an enterprise SaaS

XTEL / Kantar Group

Context

Enterprise RGM tools are powerful but intimidating. The complexity was a barrier on two fronts:

RetentionExisting users couldn't fully exploit the tool without expert help
SalesProspects were hesitant to commit - perceived complexity blocked licence sales

During ideation, I suggested that an AI layer could solve this - reducing friction for users while strengthening the product's market position.

Challenge

We weren't certain how clients would react. Two open questions:

TrustWould users trust an AI assistant on sensitive trade data?
ComplexityWould it reduce perceived complexity - or add another layer?

The prototype was there to test appetite, nothing more.

Approach

Built a high-fidelity prototype of the AI assistant to test user appetite for the feature. No underlying AI logic, no engineering - just the interaction, designed to feel real enough to get genuine reactions from users.

Quick demo

The AI assistant embedded in the RGM tool - from first prompt to actionable insight.

app.xtel.ai/rgm
XTEL RGM Dashboard

Outcome

User enthusiasm was immediate. The concept proved conclusive - users didn't just understand it, they wanted it. XTEL has since rebranded the assistant as ADAM and made AI the central pillar of their go-to-market strategy. What started as an unproven prototype is now a core product differentiator used daily by global CPG brands.

My Role

Identified this axis as a way to solve a known user pain, designed the prototype, and ran the quali testing.