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
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 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
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.


