About

Tue, 28 Apr 2026 00:00:00 +0000

AI That Has to Deliver

Mission Critical AI is not a marketing term. It is a requirement.

AI systems deployed in business-critical processes must work reliably, be accepted by the people who use them, and make a demonstrable contribution to business outcomes.

That takes more than technical competence. It takes an understanding of what is at stake, and the ability to guide an organisation through the demanding phases that every ambitious initiative goes through.

References

Tue, 28 Apr 2026 00:00:00 +0000

Track Record

Over two decades, through the critical phases.

From an eight-year mainframe replacement through process automation to AI platforms serving tens of thousands of users.

AI Platforms & Machine Learning

2023–2026 · 4 projects

2025

Federal authority

AI platform for 70,000 employees

2025–2026 · Management Consultant & Risk Manager

The organisation's central GenAI platform: knowledge management chatbot, text assistant and controlling chatbot in a single system. Risk management was conducted independently of the project line, with direct reporting to the steering committee, including when findings were uncomfortable.

Services

Tue, 28 Apr 2026 00:00:00 +0000

At a Glance

The questions differ. The moment is familiar.

In management meetings, what is needed are answers that create clarity and direction. Three services are available, each for a concrete situation.

Interim Management

Share the responsibility

Experienced reinforcement that actively co-shapes operational project leadership and takes on responsibility for the outcome.

Agile AI Developer

Fri, 24 Apr 2026 00:00:00 +0000

You build. With modern frameworks, LLMs, RAG architectures – and with the understanding that working software isn’t automatically useful software.

You work iteratively, value feedback from the business side, and can explain technical decisions in a way a project manager actually understands. No ivory tower. No code nobody can operate.

What you bring

Hands-on experience with LLM applications, RAG systems or ML pipelines
Knowledge of modern AI frameworks and cloud infrastructure (e.g. AWS, Azure)
Agile mindset and willingness to show results early and openly
Understanding of business requirements – not just technical feasibility

What to expect

Projects with genuine complexity – with clients who take the technology seriously and demand the value. Technical decisions you help shape. No staffing into arbitrary tickets.

Business / Data Analyst – AI Projects

Fri, 24 Apr 2026 00:00:00 +0000

You translate. Between what the business needs and what the data can support. Between what a model can do and what a process can absorb.

You know BPMN, can structure requirements – and you know when a data foundation is good enough for an AI initiative and when it isn’t. You ask the questions others don’t dare to.

What you bring

Experience in requirements elicitation and documentation, classical and agile
Knowledge of process modelling (BPMN) and data analysis
Understanding of how ML models are trained and what data requirements that entails
Ability to present findings in a way that enables decisions

What to expect

Projects where your analysis feeds directly into product decisions. No layers of reports nobody reads. A small, experienced team – close to the client, close to the outcome.

Consulting

Fri, 24 Apr 2026 00:00:00 +0000

Two Services

Defined Timeframe. Concrete Output.

Mission Launch

Project Start and Setup

You have identified an initiative with real potential and want to pursue it on a solid foundation.

In detail →

Mission Control

Project Review and Forecast

You want to actively secure project success and make decisions on the basis of solid data.

Interim Management

Fri, 24 Apr 2026 00:00:00 +0000

What it is about

Fast results, with a view of the full picture and an eye for the details that matter.

Contrary to the prevailing view, IT projects do not always fail for the same reasons. Conversations with everyone involved and solid data provide real insight into the actual project situation. That way, results and improvements come quickly.

When your project needs an experienced hand

Entrepreneurial responsibility, not just project responsibility.

Before becoming an independent consultant, I was a manager and managing director at IT consultancies. During that time, I built a branch office from two people to over 70, with responsibility for growth, headcount, sales and financial results.

Product Owner – AI Projects

Fri, 24 Apr 2026 00:00:00 +0000

You’ve managed backlogs that were more than to-do lists. You know how to translate a vision into deliverable increments – and how to explain why a sprint produced no result that feels like progress but isn’t.

In AI projects, that means holding the business side and the development team together when requirements are still fuzzy and model quality is still inconsistent. Setting priorities when everything seems equally urgent.

What you bring

Several years of experience as a Product Owner in complex IT or data projects
Understanding of ML development cycles and the specifics of data-driven requirements
Ability to lead technical and business stakeholders as equals
Practical experience with agile methods – not just on the certificate

What to expect

Projects with experienced clients where your work has direct impact. No corporate environment slowing down decisions. A small, experienced team with high standards for delivery quality and business value.

AI Projects Don't Fail Because of Technology

Sat, 15 Mar 2025 00:00:00 +0000

A steering committee approves the budget. A team of developers, data scientists and business representatives gets to work. Six months later, the model’s accuracy is impressive, but nobody uses the system.

This is not an isolated case. It is the most common pattern of failure in AI initiatives.

What is at stake

Anyone who approves an AI project is not investing in technology. They are investing in changes to workflows, decision-making processes and, sometimes, entire organisational structures. The algorithm is the means, not the goal.

Imprint

Wed, 01 Jan 2025 00:00:00 +0000

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Nathe Consulting Waldmüllerstraße 16a 90455 Nürnberg Germany

Contact

Phone: +49 151 21 71 85 26 Email: hello@nathe.consulting

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Wed, 01 Jan 2025 00:00:00 +0000

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Success

Thu, 22 Feb 2018 00:00:00 +0000