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Practices · 04 / 06

Digital Transformation

CX · Product · Data foundations

Digital programs stall when the experience layer outruns the data underneath it. We sequence the other way: data foundations first, product operating model second, customer experience third — so every release compounds instead of accruing debt.

We stay unusually close to the build. Fresnaye teams embed with client product squads, and our engagement metrics are the client's own funnel metrics — activation, retention, cost-to-serve — not program milestones.

How we engage

Customer experience

Journey redesign tied to the unit economics of each journey — not a screens exercise.

Product operating model

Squad structure, funding model, and the road from project org to product org.

Data foundations

Canonical data models, governance that engineers accept, and the platform to serve both.

Applied AI

Model-backed workflows where they earn their keep — underwriting, service, personalization — with honest baselines.

How we approach it

Method

Canonical data and the service layer before any screen, with the business, not IT, as arbiter of every definition. Teams are organized around journeys and funded persistently rather than by project.

Sequencing

Foundations first, operating model second, customer experience third. The first phase produces nothing a customer can see, and it is what makes the third phase fast.

What we measure

Time from first commit to first live transaction against earlier attempts, cycle time on the launch lines, integrations retired into the canonical layer, and release cadence sustained after launch.

Where this practice is led

Practice home
Seattle Columbia
Applied AI, cloud & data foundations
Also carried at
  • Cape Town Digital inclusion & the capability centers behind it

Every engagement is senior-led. Talk to the partner who would run yours