01
Make knowledge machine-interpretable.
A semantic layer, the Knowledge Layer, as the foundation on which agents operate.
StrategyOrganisationTechnology
AI transformations don't fail because of AI.
They fail because of organisations that were built for humans and at the missing technological foundation for reliable AI.
We help enterprises in their transformation to the Agentic Enterprise:
Strategy, organisation and technology from one team.
Strategy, organisation and technology from one team.
How we help
Three challenges, one partner.
Management consulting, a unique product and deep Knowledge Graph expertise — united under one roof.
ConsultingWe are seeking strategic consulting around data and artificial intelligence.Agentic-AI
Agentic-AI
Transformation
Data & AI strategy, operating model redesign, use-case portfolio management, technology and architecture consulting as well as holistic transformation support.
Explore ConsultingProductWe are seeking a software solution, not consultingd.AP: Knowledge Graph & Agentic-AI solution
Our solution for machine-interpretable enterprise knowledge and AI grounding. Whenever reliable AI is at stake, in every industry.
Explore the productEngineeringWe are seeking a partner for ontologies and RDF knowledge graphsKnowledge Engineering & ontology design
Ontology design and knowledge graph development. Expertise for when you already know you need a semantic layer for reliable AI applications.
Explore our expertiseWe are proud to have supported these companies
… and many more
The decision
Two ways to design an organisation. Only one is future-proof.
Data, information and with them the knowledge about the enterprise are distributed, fragmented and, for artificial intelligence, not usable.
Today
Human-centred organisation
Structures built for human hands.
- Processes bundle activities that are carried out by people.
- Systems are constructed in silos and designed for human interaction.
- Structures, collaboration models and decision paths made for people.
Future
AI-native organisation
Structures for autonomous agents.
- Seamless, autonomous workflows with limited human intervention.
- A semantic knowledge base — a digital twin of the organisation.
- Humans decide on ambiguity, machines on repetition.
The transition
Three things must change simultaneously.
02
Value streams for agents - rethought.
Describe process outcomes, set autonomy levels and leave the execution to the AI agents.
03
The operating model for agents - set up.
Compliance and escalation mechanisms implemented in the technology, not written into the handbook.
Without operating model redesign, AI amplifies an organisation's problems. Used right, AI accelerates how value is created.
The Agentic Enterprise)
Our expertise
We feel at home in complex IT and data structures.
You should talk to us when others have already tried the task and come up short. Or when it simply has to work the first time round.
Automotive: OEMs & suppliers
High complexity in value creation and system landscape meets the need to become more efficient. With deep domain knowledge, we guide the AI transformation of this industry.
Manufacturing & machinery
Hidden champions and technology leaders who want to secure their leading position for the future through data and AI. With empathy and pragmatism, we make sure their AI initiatives actually deliver.
Data-intensive sectors
Insurance, finance, healthcare: wherever regulatory depth meets high data complexity. We don't mess about, and we keep delivering even when things get genuinely complicated.
Project examples
A selection of our engagements.
In most engagements we combine domain expertise with organisation and technology — from one team, from the management decision through to go-live.
Enterprise-wide data & AI transformation.
Definition, execution, and continuous evolution of the enterprise-wide data & AI strategy of a global OEM — from the executive board down to individual divisions, with significant P&L impact anchored every year.
Learn moreOrganisation for vehicle data analysis.
Single agents hit their limits — too many tasks, too little orchestration. We built a multi-agent architecture with specialized agents, central orchestration, and clear guardrails. Content-agnostic, cross-domain, in production.
Learn moreData Governance & Management Organisation.
Vehicle data scattered across departments, with no shared model. We built a unified ontology for every vehicle type, configuration, and attribute, and integrated existing data through automated pipelines — as a consistent foundation for AI applications.
Learn more)
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Consulting and technology under one roof
There are only a few teams that truly master both.
Whoever only defines the strategy fails at execution. Whoever only builds the technology fails at the organisation. Whoever only sells a product fails for lack of context.
Which is why we deliver from start to finish — from one team.
More about digetiers
Special insights: digetiers on Air.
Get to know the people behind digetiers and find out what makes us different. We talk about personal career paths and share our view on the future of management consulting.
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