Production-Grade AI Transformation · US Tech Scale-ups

From AI pilot to production.

Because most AI doesn't fail on tech - it fails on people, ownership, and cadence.

I install the operating spine that lets AI transformations actually ship at scale-ups, on a metric the board can read.

Fabian Grupe

Most scale-ups hit the same wall.

Three to seven AI initiatives running in parallel. None reliably in production. None with a P&L number attached. The CEO keeps asking where AI is moving the business, and the honest answer is: not yet.

The root cause is almost never the model. It's ownership, cadence, integration, and measurement, the parts that don't show up on a demo slide and that most AI-native vendors skip entirely.

That's the work I do. Enterprise-grade delivery discipline, sized for a scale-up, aimed at one thing: AI in the workflow, not next to it, on a metric the board can read.

The framework

Three layers. In order.

Layer 01

Control

One owner per outcome. Transparency over optimism. The board trusts the numbers.

Layer 02

Flow

Right cadence, right tooling, right people. Work moves, or we fix why it isn't.

Layer 03

Production

AI and automation running inside the workflow. Picked for payback, on a metric the board can read.

Every engagement moves through them in order. AI belongs on Layer 3, and Layer 3 only holds if Layers 1 and 2 are real. See the full approach →

Fabian Grupe in a working session
The person behind it

Systems, not slides.

I started in IT infrastructure, which is why I still think in systems, not slides. A few years in, I realized the problems worth solving weren't technical. They were organizational. No dashboard ever fixed a people problem; that insight pushed me deep enough into organizational culture research to write a dissertation on it.

When AI arrived, my inner sysadmin woke up. Not to chase the hype. To figure out what actually holds in production.

Read the full story →

Selected programs

Three programs. Three different problems.

AI in production

EDEKA

An AI marketing platform, moving from PoC toward governed production across marketing, tech, and AI.

Top to bottom

Novartis

€65M S/4HANA under GxP regulation, an 800-person SAFe program, run from the boardroom roadmap down to what ships in the team.

Program rescue

RWE

A stalling enterprise program, pulled back on track: clearer ownership, escalations falling, decisions flowing again.

See the track record →

His ability to offer clarity and assurance has enabled me to confidently communicate with my own key stakeholders.
Conor-James Donnellan, Senior IT Project Manager, RWE (NOVA Programme)
AI in the workflow, not next to it

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