T-Systems
Sovereign healthcare AI
Strategy and architecture for hospitals, insurers and life sciences. Foundation models, RAG, agents and governance.
For Tech and Culture
01 / Profile
DEEEP is the strategy and technology consultancy founded by Paul Hellwig. We focus on data, platforms and AI in healthcare. Beyond defining a vision, we understand responsibility for architecture, budgets, teams and delivery.

Founder · Healthcare Data & AI Executive · Fractional CTO / CDO
Paul has built data and AI capabilities from the ground up and led group-wide platform initiatives. His experience spans precision medicine, clinical data, FHIR-based interoperability and sovereign GenAI platforms. He combines technical depth with clear leadership and attention to people and organizations.
ISO/IEC 42001 Lead Auditor · CISM · CISA · MBA · M.Sc. Business Computer Science
LinkedIn ↗Experience at leading organizations.
T-Systems
Strategy and architecture for hospitals, insurers and life sciences. Foundation models, RAG, agents and governance.
BG Kliniken
Group-wide data and AI architecture, FHIR interoperability and a patient portal. Leadership of cross-functional teams of 45.
Cornelsen
Built the data and AI function from 0 to 25 people. Data strategy, operating model and an Azure analytics platform.
Elsevier
Built Health Analytics and data products for precision medicine. Architecture processing billions of medical data events.
Paul is your point of contact. Experienced partners complement the technical work with organizational development, coaching and innovation where the mandate calls for it.

Coaching & organizational development
Supports organizations and teams through change, helping technology translate into new ways of working.
Profile ↗
Technology & innovation
CTO experience and entrepreneurship teaching, combining technology with innovation and sustainable development.
Profile ↗02 / Services
Data, platforms and AI belong together. We clarify what your organization needs, which architecture can support it and how an initiative becomes a sustainable capability.
Prepare sound decisions.
Vision, prioritized use cases, business cases and roadmaps. Clear ownership, realistic dependencies and a substantiated investment decision.
Vision · Portfolio · RoadmapConnect data for practical use.
Enterprise data architectures, cloud platforms and interoperability with FHIR / HL7 and IHE. From clinical systems and patient portals to secondary use of data.
Architecture · FHIR / HL7 · Data productsFrom pilot to a viable solution.
Foundation models, RAG and agents in your operational context. Secure data access, evaluation, MLOps and governance brought together in a workable product and operating model.
RAG · Agents · EvaluationEstablish accountability from the start.
Roles, decision paths, data quality, model controls and security requirements. Technical and organizational alignment with GDPR, EU AI Act, MDR and ISO/IEC 42001.
Governance · Security · OrganizationAdvice with delivery responsibility.
Fractional CTO / CDO, chief architect or program leadership: building teams, selecting partners, making architecture decisions and steering complex initiatives.
CTO / CDO · Chief Architect · DeliveryBuild capability within your organization.
Confidential executive sparring, focused workshops and practical training. Technical depth, clearly communicated and linked to the decisions you need to make.
Executive sparring · Workshops · AcademyEstablish the starting point, care context and objectives.
Evaluate options, define the architecture and set priorities.
Bring teams, governance and execution together.
Collaboration
What people who have worked with Paul say.
14personal recommendations
Explore every recommendationUse the left and right arrow keys to browse. Home for the first, End for the last testimonial.
03 / Industries
Healthcare is not a single homogeneous market. Providers, payers, research organizations and technology partners have different responsibilities and connected data flows. Our experience brings these perspectives together.
Clinical data, EHR landscapes, patient portals and group-wide data and AI platforms. Interoperability as part of care delivery and organization, not simply an interface project.
Data and AI strategy for payers. Reliable data models, traceable automation and platforms that connect different processes and partners.
Physician networks, outpatient providers and cross-sector care. Connected workflows, usable data and collaboration across care settings.
Data flows between diagnostics, care and research. Semantic integration, clinical study and real-world data, and controlled secondary use for analytics and AI.
Data products, semantic knowledge structures and AI-enabled offerings. Drawing on technology and data leadership at Elsevier and Cornelsen.
Analytics and AI for digital education. Data platforms, product analytics and enablement for teams and leaders.
Understand AI. Shape interoperability. Bring people along. DEEEP.ACADEMY combines technical expertise with the skills to make change work.
Current expertise. Practical skills.
Our training runs in annual editions, with content updated for each cohort. Ask for the next dates and current availability, or discuss an in-house format tailored to your team.
Ask about the next edition →KI Culture Lab · Certificate course
For teams and organizations seeking to apply AI effectively and build organizational capability. Fundamentals, use cases, experiments and delivery, together with Lynkeus Berlin. Course information in German.
Next edition: on request
Learn more →Certificate course
For project owners, leaders and healthcare specialists. FHIR, IHE, terminologies, procurement and the organizational implementation of interoperability. Course information in German.
Next edition: on request
Learn more →Let us talk
A clear data and AI strategy, a sound platform or leadership for a demanding initiative? Let us discuss your starting point.
A personal conversation with Paul Hellwig. Confidential and focused on your initiative.
paul@deeep.ai