We Make AI Work.

AI needs infrastructure, data architecture, and the right decisions during transactions. We build the foundations and execute the transformation.

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Trusted By

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Why it matters now.

Global AI spending 2026

$2.6T

Hyperscaler capex tripled in 2 years

Source: Gartner, September 2026

AI acquisitions Q1 2026

+90%

Most buyers are now non-tech

Source: CB Insights, Q1 2026

AI use cases missing ROI

72%

Only 28% meet ROI expectations

Source: Gartner, April 2026

Where do you need to act?

Line graphic of server racks for datacenter strategy

Datacenter Strategy & Development

Planning, financing and delivering new datacenter capacity for AI and sovereign infrastructure.

  • Feasibility, site and power assessment

  • Financial model and partner selection

  • Cooling, compliance and operating model

Line graphic of a neural network for AI enablement and data architecture

AI Enablement & Data Architecture

From process analysis and data architecture to AI that scales across sites and portfolio companies.

  • Use cases and data architecture

  • Platform choice and prototypes

  • Rollout and adoption on the ground

Line graphic of two line bundles merging and splitting for M&A and carve-outs

Mergers, Acquisitions & Carve-Outs

Technology decisions in transactions, from due diligence through integration or separation.

  • Technical due diligence

  • Post-merger integration

  • Carve-out separation and migration

Recent results.

Energy · Datacenter

70 MW

IT load

Evaluated how a datacenter joint venture can deliver IT capacity and usable heat, from workload profiles to site evaluation, business case and partner selection.

Energy sector, 2026

Publishing · AI Enablement

100%

ready on deadline

Content for dozens of titles was behind schedule. Development of four AI use cases and close delivery steering got every title ready by the deadline.

Educational publisher, 2026

Electronics · M&A Technology

2 weeks

full technical due diligence

Assessment of an Asian shopfloor automation provider, with a clear recommendation for a European buyer across mechanics, electronics and software.

Electronics sector, 2026

Portrait of Ilja Stucken, founder of Transformation Partners

Our approach.

AI projects fail in predictable ways: cost explosions, timeline overruns, solutions that do not integrate. We prevent this.

  1. Plan the full path first. Thirty years in technology means we know where projects go off track. Risks are mapped and decisions staged before execution begins.

  2. Execute with a proven playbook. Standard templates keep every step consistent.

  3. Bridge engineers and executives. We solve technical problems with engineers and translate them into decisions leaders can act on.