AI & Data at scale
We help organizations turn AI ambition into business reality, building the strategy, the data foundations, and the technology backbone that make transformation executable, not just aspirational.
AI & Data Strategy
Define the right ambition, build the roadmap, and lead the transformation at ExCom level so AI investment translates into a clear, sequenced plan rather than a patchwork of initiatives.
Executive Advisory
ExCom and CDO sparring on Data & AI ambition, scenarios and trade-offs
Flash diagnostics of Data & AI maturity, gaps and value pools in four weeks
Vision, target operating model and mid-term roadmap
Transformation Leadership
End-to-end program steering across business, tech and data
Fractional Chief AI/Data/Tech Officer, or Data Office as a Service, on demand
Change management for enterprise-wide data transformation
Governance & Sequencing
Operating blueprint: strategy, sequencing, governance, sizing
Comitology design and use-case prioritization frameworks
Investment roadmap aligned to board-level decision cycles
AI & Data Acceleration
Turn data into P&L impact through AI products, models and agents. Move from proof of concept to production, with ROI tracked at every step.
Use-Case Factory
Use-case value framing, feasibility and business case design
POC-to-production pipelines, target architecture, portfolio steering
ROI tracking and reusable delivery patterns across use cases
Agentic & Automation
Agentic workflows and process redesign, with human-in-the-loop by design
Orchestration layers built for operational efficiency, not novelty
Analytics and decision support: dashboards, performance tooling, conversational access to data
Data & AI Products
Embedded data products and features within existing business applications
Packaged ML models built for reuse, not one-off delivery
Cross-company AI acceleration programs and sovereign agentic stacks at scale
AI & Data Foundations
Build the scalable backbone — tools, architecture and governance — that makes AI and analytics production-grade rather than experimental.
Platform & Architecture
Operational Data Platform build (ELT, live in under six months)
Analytics, modeling, LLMOps and MLOps backbone, semantic layer
Data architecture audits and cloud stack benchmarking
Data Governance & Quality
Data governance audits, ownership models and stewardship design
Data quality and lineage frameworks, observability, mitigation plans
Compliance by design: GDPR, AI Act and sector-specific regulation embedded from the start
Adoption & Enablement
AI upskilling, acculturation and change management for business teams
Self-service analytics and semantic layer foundations
Full Data Office setup, from team structure to ways of working
Enterprise Tech, IS & Cyber
The infrastructure backbone that makes Data and AI ambitions executable — because architecture choices made today either unlock or constrain everything built on top of them.
Architecture & Modernization
Cloud and API-first architecture, event-driven design, modernization roadmaps
SI and cloud architecture reviews: technical debt, risk, friction points
Lean IS programs covering application portfolio and interfaces
Cybersecurity & Sovereignty
Cybersecurity remediation and AI-specific threat coverage
Vendor lock-in audits and sovereign-ready or open-source alternatives
Exit design and reversibility built into every architecture decision
IS as a Delivery Partner
IS-for-business target operating model: IT as an enabler, not a bottleneck
Scoping of critical IS bricks (ERP, CRM, MDM)
Co-piloting SI, Data and Security convergence programs
Our recent projects
Data Practice 0-to-1 at a Scaling HR-Tech Leader
Context
A French HR-tech leader scaling fast had no data team, no warehouse, and dashboards built directly on source tools. User journeys were unreconciled and a large share of traffic was lost to ad-blockers. Constellations was brought in as the first data hire to build the practice end-to-end.
Scope & Deliverables
- Practice Build: Built the data practice 0-to-1 — team, governance, and ways of working with business teams.
- Tracking Stack: Internalized the full tracking stack, recovering traffic visibility blocked by ad-blockers.
- Platform: Deployed an end-to-end data platform on AWS Redshift, covering ingestion, modeling, dashboarding and activation.
- Team Growth: Developed the team from 0 to 5 across Analytics Engineering, Data Analysis and Data Engineering.
Team
Constellations Impact
- Customer journey traceability recovered from 30% to over 95%, from first visit to full customer lifecycle.
- A unified data backbone now serving Sales, Finance, Product and Media, with business decisions institutionalized on shared data.
Scale-Up Data Refoundation Powering a New Insurance Business
Context
A KKR-backed French scale-up — online driving school plus insurance, 2.5M+ customers — had hit the scale-up breaking point: a data team of four, a fragmented stack, and the launch of a new insurance line requiring fundamentally new data capabilities. Constellations was brought in as Executive CDO to lead the full refoundation.
Scope & Deliverables
- Stack Refoundation: Rebuilt the entire data stack end to end, including modeling, warehousing and MLOps tooling.
- Team Scaling: Scaled the team from 3 to 23, adding Analytics Engineering and ML Engineering roles under new scale-up governance.
- Self-Service Analytics: Built embedded product analytics and self-service capabilities with data champions across the organization.
- AI Risk Engine: Delivered a patent-pending AI risk-scoring engine powering insurance pricing for young drivers.
Team
Constellations Impact
- New insurance business launched on a refounded data stack, with young drivers becoming the best-performing risk segment.
- Marketplace liquidity, fraud detection, and business forecasting now live on the platform, with Finance, Product and Marketing reconciled on one data backbone.
12-month Post-Merger Integration to consolidate technological & data systems, processes, & governance for a major Telco player
Context
Phase I: Target system architecture with associated transformation plan
Phase II: Transformation launch, with PMO steering, main tech streams delivery, & change management / reversibility plan
Scope & Deliverables
- Formalized current (« as-is ») and target (« to-be ») architectures and produced a prioritized 12-month roadmap
- Piloted the transformation program (governance, planning, PMO)
- Delivered core tech streams: data interfaces & platform, ERP migrations, CRM implementation, OSS rollout
- Managed vendor relationships and oversee all major migrations
- Ensured change management, reversibility and sustainable governance (CIO org, data office, end-to-end processes)
Team
Constellations Impact
- AS-IS & TO-BE architecture + associated roadmap & transformation plan
- New CRM & automations, unified data platform, tracked operational KPIs, 5 ERPs migrated, new network & OSS platform launched