AI, Data & Tech

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 Office as a Service for a PE-Backed Telecom Operator

Data Office as a Service for a PE-Backed Telecom Operator

Built a Data Office from zero, on a fully reversible architecture, for a B2B telecom operator mid-PMI.

Data Practice 0-to-1 at a Scaling HR-Tech Leader

Data Practice 0-to-1 at a Scaling HR-Tech Leader

Took customer journey traceability from 30% to over 95% by building a data practice from scratch.

Scale-Up Data Refoundation Powering a New Insurance Business

Scale-Up Data Refoundation Powering a New Insurance Business

Refounded the entire data stack and delivered a patent-pending AI risk-scoring engine for a KKR-backed scale-up.

Vendor Due Diligence for a Leading B2B Services Company

Context

Preparation of a roadshow document to outline the company's core assets, detailed market positioning, strategic goals & investment strategy.

Scope & Deliverables
  • Presenting company core assets: including its historical development, primary target markets, people, skills & untangible assets.
  • Analyzing competitive dynamics: competitive landscape, including key competitors, market share, competitive positioning, and offers differentiators.
  • Assessing market dynamics: broader market trends, growth drivers, customer behavior, and potential disruptors that could impact the business.
  • Clarifying group investment strategy: investments rationales, financial deal structure, roadmap.
Team
Constellations consultant
A senior consultant with 4 years of experience, formerly with Bain & Company, specialized on due diligence.
Constellations Impact
  • Vendor Due Diligence (VDD) completed on time, despite a highly pressurized timeline and limited internal resources.
  • Successfully shared & presented to international banks to fund projects and pursue strategic targets.

Strategic Planning for a Leading B2B Services Company Under LBO

Context

After a LBO backed by 3 midcap private equity funds, the management team needed to design a comprehensive strategic roadmap, targeting key value drivers and enablers for the next 36 months.

Scope & Deliverables
  • Synthesizing strategic priorities: Defining "where to play" and "how to win" in key markets.
  • Identifying and prioritizing value drivers and enablers.
  • In-depth analysis of main growth initiatives and enablers: Product offering, go-to-market strategies, international expansion, IT roadmap, and governance.
  • Setting key milestones and roadmap: Establishing clear milestones for 12, 18, and 36 months.
Team
3 Constellations Partners
Managed the project, with each partner leading based on their specific industry expertise in a multi-activity client environment.
Back-Office Junior Staff
Provided essential support in data gathering and analysis.
Constellations Impact
  • Strategic priorities clarified, with key gaps identified and addressed.
  • Comprehensive strategic roadmap developed, prioritizing value drivers and critical enablers.
  • Value creation plan validated, ensuring alignment with business plans and incorporating risk mitigation strategies.
  • Stakeholder alignment achieved – including ExCom and shareholders, ensuring unified strategic direction.