← All services
00 / 06 · Function brief

Data & AI Foundation.

Your model is a commodity. Your foundation is the moat.

Position

The model layer is a commodity you rent. The data foundation is the asset you own, or the leak you inherit.

The business case

Your model is a commodity. Your data foundation is not.

Every competitor rents the same models. The durable advantage is the layer underneath, and most AI strategies skip it. We build it in three moves:

01
Built for AI consumption

A data architecture designed for models and agents, not just dashboards: first-party, semantic, real-time where it counts.

02
Governed in place

Ownership, quality, lineage, and residency fixed on your own warehouse. No-copy, EU-resident, auditable end to end.

03
Every model fed, nothing leaked

A use-case roadmap scored on the frontier-vs-sovereign framework, so each deployment compounds the foundation instead of leaking it.

The operating model

One foundation below.
Everything compounds above.

Your perimeter · EU-resident
Governed in place
01
Collect
02
Model
03
Govern
04
Serve
05
Evolve
Domain data products, owned in placeLineage, quality, residency by designA semantic layer agents can read
The sovereignty line
↓ Workloads out

Non-personal tasks routed to frontier models, EU-routed, by policy, not by accident.

↑ Capability back

Results land in the governed foundation, logged, lineaged, and yours to keep.

The model layer (rented)
ClaudefrontierCodexfrontierMistralEUTomorrow's modelswap in

The foundation is the asset. Models come and go on top of it, at your choice, on your terms.

The signal

What's actually
shipping.

The WEF/Accenture AI Playbook for Financial Services 2026 finds data analytics is the #1 AI focus at 68% adoption, ahead of GenAI and agentic AI. The advantage has moved from the model to the data foundation beneath it.

WEF / Accenture

ING is publicly rewriting its core systems because, without that groundwork, even the best AI projects become “cosmetic patches on 30-year-old logic.”

Industry reporting
Engagement scope

Design the data architecture, governance operating model, and AI use-case roadmap that make every model useful: first-party, AI-consumable, and EU-resident by default. The layer that decides whether your AI compounds or leaks.

  • 01Data architecture built for AI consumption, not just BI dashboards
  • 02A governance operating model: ownership, quality, lineage, and residency
  • 03AI use-case prioritization on the frontier-vs-sovereign framework and cost model
  • 04First-party and external data, enriched without exporting personal data
Working session

Bring us one
data & ai foundation
workload.

In one 90-minute working session we map it across the frontier-sovereign axis, cost, risk, and strategic value. Then we tell you what we'd do.

Request this research

Working-session request