About Us
Powered by AI. Proven by Humans. Driven by Purpose.
Since 2010, innobu has built the structures that make AI-driven organisations actually work.
"AI is not a tool. It's an organisational model. Since 2010, innobu has built the structures that make AI-driven organisations actually work. Energy infrastructure, enterprise programmes, regulatory translation. That's the work."
— Niels Schuldt, Founder & CEO
Niels Schuldt
Founder & CEO
innobu GmbH
Where strategy meets execution
Most consultants do either strategy or execution. Niels Schuldt does both. Not sequentially. At the same time.
He can develop enterprise target architectures, structure multi-year programmes, define Jira and Confluence setups, design capability maps, orchestrate AI agents, and ship working prototypes. All while keeping steering committee discussions calm and grounded.
That's a specific combination. Most organisations never find it in one person.
Digital Colleagues -- AI with a job title
Most AI projects fail the same way: the technology works, but nobody agrees on what it's actually supposed to do. innobu's Digital Colleagues framework solves that by giving AI agents concrete roles within the programme. Role-based AI orchestration. Every engagement starts by activating only the agents that are actually needed.
The Architect
Designs system landscapes and maps integration paths. Keeps the big picture coherent when individual workstreams start pulling in different directions.
The Strategist
Translates goals into roadmaps and capability requirements. Connects what the business wants to what's actually buildable.
The Governance Specialist
Tracks regulatory boundaries: EU AI Act, DSGVO, BSI. Keeps AI systems within defined limits before they go live, not after.
The Analyst
Processes raw data into intelligence that actually helps decisions. Less dashboard, more answer.
The Delivery Manager
Watches dependencies, risks, and sprint velocity. The person who knows which workstream is quietly blocking everything else.
Industries we work in
The work is different in each sector. The discipline behind it isn't.
Energy & Utilities
Most of innobu's work happens here. Not as a peripheral IT consultant brought in for one project, but as portfolio manager, structural lead and the person who translates between what the regulator says, what operations needs, and what IT can actually build.
Current engagements include Smart Meter rollout, §14a EnWG implementation, grid connection portals, and cross-programme portfolio management -- often running in parallel at the same client.
Financial Services & Insurance
Finance and insurance sit under the same regulatory pressure as energy: tight compliance requirements, AI systems that need to stay auditable, and programmes that can't afford governance gaps.
The work here is translating those constraints into structures that hold up in practice, not just on paper.
Public Sector & Municipal Services
Public organisations can't pivot fast. Budgets are fixed, accountability is public, and change takes longer than in the private sector. That's not a problem to manage around. It's the actual working environment.
innobu brings programme governance and a realistic view of what AI can do in public contexts right now, not in three years.
Healthcare & Life Sciences
Patient safety and data privacy set hard limits on what AI can do and how. That's not a reason to avoid AI. It's a reason to be specific about architecture and governance from the start.
innobu maps regulatory constraints -- DSGVO, EU AI Act, sector-specific requirements -- directly into programme structure, as a design input from week one, not a risk chapter at the end.
Industrial & Manufacturing
Manufacturing transformation isn't just an IT project. When production data, OT systems and enterprise architecture need to connect, you need someone who understands all three layers.
innobu helps manufacturers design AI-based operating models that connect the shop floor to the boardroom without losing what already works.
What we build and deliver
Ten concrete service building blocks. Each one is a distinct deliverable, not a category name.
Transformation Roadmaps
Phased plans from current state to target, with milestones you can actually track.
Capability Maps
A visual picture of what your organisation can do today and where the gaps are.
Enterprise Target Architectures
Future-state designs that give multi-year programmes a clear direction to build towards.
Governance Structures
Who decides what, how escalation works, RACI models that people actually follow.
Portfolio Architecture
Cross-programme logic, priority decisions and dependency maps across the full portfolio.
Regulatory Translation
§14a EnWG, EU AI Act, DSGVO, BSI translated into concrete programme and architecture requirements.
Cloud Process Automation
Automating repetitive processes on modern cloud infrastructure. Less manual work, more consistency.
AI Work Architectures
Operating models where AI agents take on defined roles alongside your team using the Digital Colleagues framework.
Iterative Delivery
Sprint-based releases with clear KPIs. Value ships before the programme ends.
Prototyping
Working code in days, not weeks. Built to prove ideas before committing to a full build.
How engagements work
Typical roles
- External Programme Lead
- Portfolio Manager for network and grid programmes
- Structural lead for transformation programmes
- Translator between regulation, business and IT
- Governance and decision architect
What clients get
- Order in initiative landscapes that have grown fragmented
- Roadmaps with a clear direction, not just a list of workstreams
- Decision spaces where the right people can actually decide
- Delivery that moves from pilot to scale without losing structure
- Less organisational complexity to manage