The Model

Why 95% of AI projects fail — and what actually fixes it.

The gap between AI capability and business results isn't a technology problem — it's a dynamics problem. We deploy Forward Deployed AI Engineers who work side-by-side with mid-market teams until AI delivers real ROI.

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What a Forward Deployed AI Engineer does

Not a consultant with slide decks. An operator inside your business.

01
Technical Breadth

The full technology landscape — not just the latest model.

From legacy ML and data engineering to applied generative AI, agents and on-prem deployment. We pick the right solution for the problem, not the trendy one.

  • Industrial ML & predictive maintenance
  • Generative AI application development
  • Multi-agent architectures
  • On-premise and cloud deployment
02
Embedded Delivery

Built side by side with the people who use it.

We learn the workflow from the inside — the real one, not the org-chart version. Solutions built close to the people who use them get adopted instead of abandoned.

  • Workflow observation from inside operations
  • Built with frontline teams
  • Integrates with existing tools
  • 67% higher success rate vs internal builds
03
Continuity Architecture

The solution outlives the engagement.

We transfer capability, governance and operating rhythm so your team can run, evolve and own the system independently. No permanent dependency, no vendor lock-in.

  • Role-based capability transfer
  • Internal champions & owner training
  • Governance & escalation structure
  • Independence roadmap
The Forward-Deployed DNA

What is a Forward Deployed AI Engineer? The strand that survives reality.

Five capabilities intersect in one embedded person who bridges Founder Agility and Enterprise Rigor — so state-of-the-art AI survives contact with messy, real-world workflows. Hover a strand to trace it.

ForwardDeployedAI Engineer
Technical FoundationData / AI / Eng
Domain FluencyValue Chains
Emerging TechPolymath / LLMs
Team IntegrationImmersion / Empathy
IterativeLean / CTO Mindset

Technical Foundation. Grounding in data, AI and engineering deep enough to write the production code — not just a slide about it.

Domain Fluency. Fluency across real value chains — energy, finance, manufacturing, hospitality — so the build fits how the business runs.

Emerging Tech & LLMs. A polymathic read on the SOTA frontier: agentic workflows, RAG, sovereign LLMOps shipping this quarter.

Team Integration. Embedded with your people — de-escalating friction and translating ambiguity into rigorous technical specs.

Iterative, Lean ROI. Ship the smallest thing that moves the needle, then iterate in production. Entrepreneurial by instinct.

The intersection of all five is rare — and exactly what gets AI past the pilot.

How an engagement runs

Step 01

Immersion

Working side-by-side, on the floor, in the field.

Step 02

Technical Spec

Translating ambiguous priorities into rigorous blueprints.

Step 03

Production

Iterative deployment, measured and owned by your team.

Why this model

You don't need an AI team. You need one trusted partner.

80% of businesses outside the enterprise bubble will never hire an in-house AI department — they shouldn't have to. Buying disconnected tools from different vendors is how companies end up with a bigger mess than they started with.

Start with one product that solves one specific pain point (from €190)
See results in your operation within 2 weeks
Expand across your value chain through subscriptions
Every solution connects — no duct tape, no disconnected tools
Data anchor · MIT NANDA 2025

95% of generative-AI pilots fail before reaching production.

S&P Global 2025

42% abandoned most AI initiatives — up from 17%.

'24 · 17%
'25 · 42%
IBM IBV 2025

5.9% ROI for 10% capital invested.

Capital invested
ROI returned
Engagement & pricing

Start small. Scale only when it pays.

Single product

from €190/mo

One module, one bottleneck

  • Live in your workflow in 2 weeks
  • Integrated with your existing tools
  • Cancel anytime, no lock-in
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Most popular

Connected suite

from €690/mo

4+ modules, bundled −20%

  • Modules share context, one subscription
  • Each new module makes the others smarter
  • Quarterly optimisation cadence
Scope a suite

Embedded engineer

Custom

A Forward Deployed AI Engineer, in-house

  • Embedded on the floor, in the field
  • Scoped to a statement of work
  • Capability transferred, then owned by you
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The difference

Traditional consulting vs. Clinic of AI

Traditional AI consulting
Clinic of AI
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20 minutes. No pitch deck. We'll tell you in 5 if we can help.

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