Is your data AI-ready?
AI-ready data is data that AI can find, trust, and use without a human explaining it: owned, documented, quality-assured, and governed. In other words, data organised as products.
We help data leaders answer the AI-ready question
We get you a clear diagnosis and a roadmap to AI-ready data products, with a plan that the whole organisation can align on.
Our data product readiness assessment is an outside-in review of your data organisation: architecture, operating model, and delivery process. A small senior team assesses, challenges, and proposes. Eight weeks and a clear answer at the end.
2026
"Organizations that treat data as well-defined, governed, and reusable products are far more likely to move AI initiatives into production and scale them successfully."
A CLEARER VIEW OF THE ENGAGEMENT
PHASE 1 · DIAGNOSTIC
Weeks 1-3
We interview teams and scan organisation, delivery, governance, and architecture and present findings.
Key delivery -> Maturity assessment and AI-readiness view.
PHASE 2 · DESIGN & STRATEGY
Weeks 4-6
We shape the proposed operating model, architecture and data product use cases based on what we learned.
Key delivery: The blueprint and technical recommendations.
PHASE 3 · ROADMAP PROPOSAL
Weeks 7-8
We align the blueprint and plan execution with business and IT stakeholders .
Key delivery: A phased roadmap and prioritised first data products.
PHASE 4 · SKILLS GAP
OPTIONAL · Weeks 9-10
We can also assess current capabilities against roadmap needs.
Key delivery: Three skill gaps with a mitigation plan for each.
Not ready for an eight-week engagement? Start with our one-day Data Product Workshop.
ISO 27001 certified
Vendor-neutral
Open-source tooling
Key Benefits
What you walk away with at the end of the eight weeks
CLIENT VOICES
What our partners say
“They made our data ambition tangible: a focused product roadmap, trusted foundations, and a team that could keep moving independently.”
Amina El Farah
Head of Data Products
“The team translated a complex platform investment into decisions our commercial teams can actually act on.”
Lucas Van Dijk
Director of Analytics
“We finally have governance that supports delivery instead of slowing it down. The change has been felt across every product team.”
Sophie De Clercq
VP, Digital Transformation
“They understood both the technical constraints and the human change required to make our data products stick.”
Noor Benali
Chief Data Officer
We build what we recommend
The approach in this assessment comes from twelve years of building data platforms and data products at 50+ organisations. We know where data product initiatives stall, and we only recommend what we could build ourselves.
No commitment. Walk away knowing if this fits your context.
What can we build together?
From shared vocabulary to production data products, start where it makes sense, go further when you're ready.
