MH Consulting & Advisory GmbH — Data, Digital & AI in Regulated Life Sciences Areas
Welcome to MH Consulting & Advisory
Navigate Strategic and Impactful Data, Digital and AI
Endeavours in regulated Life Sciences Areas with Clarity, not Noise.
MH guides life science organisations and their suppliers in aligning stakeholders, meeting regulatory expectations, and implementing data, digital, and AI initiatives across GxP environments. MH’s approach focuses on clear strategy, solid governance, well-defined roles and processes, evidence-based decisions and shared knowledge – so choices stand up to internal and external scrutiny. This results in initiatives that move faster, fit operational and regulatory reality, and deliver impact and business value.
Key points about my background are:
- Contributor to leading industry guidance, including lead author of the ISPE GAMP Guide AI - so that you can build on robust foundations
- 10+ years consulting experience with 20+ projects in Life Sciences areas and beyond - so that frameworks are fit for operational reality
- Regularly engaging with health authorities in the context of digital innovation - so that you stay at ahead of regulatory expectations
- Keynote speaker, trainer and instructor - to inspire your people and achieve sustained change
- Academic roots in mathematics and data science - no hype, true and proven expertise
Services
MH Consulting & Advisory operates three service lines with focus on Life Sciences areas, including pharma companies, medical device organizations and their suppliers:
- Consulting in Data, Digital & AI
- Training, Upskilling & AI Literacy
- Technology & Solution Partnerships
Curious to learn more? Downloads available:
Consulting in Data, Digital & AI
I provide a structured, regulation‑aligned path from readiness through strategy and governance to qualification, validation, and quality system integration. I focus on stakeholder alignment, clear roles and responsibilities, risk‑based life‑cycle practices, and documentation that meets regulatory and quality expectations. I deliver engagements and contribute to projects independently or in collaboration with trusted partners.
Typical work includes
- AI Readiness Assessment: 360° view of success factors, GxP awareness, stakeholder alignment and priorities, and the intersection of foundation‑building with implementation roadmaps
- Strategy & Governance: business objectives as the anchor for value; operating models, organisational structures, decision pathways, and oversight and feedback mechanisms
- Qualification & Validation: state‑of‑the‑art qualification and validation frameworks featuring critical thinking, risk‑based decisions, and modern digital validation approaches
- Quality System Transformation: streamlining, modernising, and extending the existing QMS—integrating new methods to enable technology advancements and unlock efficiency, rather than creating silos in quality
Training, Upskilling & AI Literacy
I deliver flexible, modular training spanning practitioner to executive level, addressing Leadership, Quality Assurance, Business, IT, Data Science, and cross‑functional teams. Formats range from 90‑minute briefings to multi‑day programmes, delivered onsite or remote. Content is rooted in practical experience and includes interactive elements such as case studies and moderated use‑case exploration.
Representative modules (selection)
- AI Fundamentals: foundational AI literacy; terminology, use cases; trustworthy AI & ethics; common challenges of life science companies
- Strategy & Governance : leading AI in Life Sciences, impact of AI on CSV, roles & responsibilities and knowledge management; supplier management
- Life Cycles & Quality: development approach and system life cycle; quality management; quality risk management; specification, verification & documentation
- Technology & Operations: infrastructure & cloud services; AI cybersecurity; Generative & Agentic AI incl. supporting‑data architectures (e.g., RAG); data for AI in life sciences
- Regulation Deep Dives: e.g., European AI Act and its implications for life sciences; cross‑view on publications from agencies (US FDA, EMA, MHRA, etc.)
- Interactive Specials: moderated use case ideation session
A current module plan can be provided upon request. Please also reach out in case you are interested in custom training.
Technology & Solution Partnerships
I support clients in identifying and collaborating with technology and software providers. I help define requirements, ensure fit with the QMS and risk posture, and establish proportionate supplier oversight for successful implementation and sustained value.
Focus areas include
- Data management
- Data integration and data integrity
- Gen‑AI‑supported qualification & validation
- EU AI Act compliance
Approach to Data, Digital and AI in regulated Areas
01
Business‑driven selection of data, digital & AI initiatives
Data, digital and AI approaches should not be implemented for their own sake. It is crucial to consider business impact, process understanding, and organisational maturity to enable organisations shaping their path in data, digital, and AI with confidence.
02
Full perspective from strategy to operational reality
Strategy, Governance, and Quality Management need to work in tandem to allow operational teams to work effectively and unlock scalable, risk-based approaches - while planning of effective feedback loops are critical for sustainable success.
03
GxP thinking from the start - as enabler, not impediment
Following Quality by Design thinking integrates quality in initial stages to strengthen defensibility and avoid rework later, in line with GxP regulation and leading industry guidance - while seeking an edge in efficient quality and compliance operations through innovative technology.
04
Stakeholder alignment and cross‑functional clarity
Speaking the various languages of Business, Quality, IT, and Data Science, I help facilitating a shared vision and understanding, reducing friction and accelerating sound, joint decisions.
Insights
From my journey in shaping AI Governance, Quality and Compliance in the Life Sciences -
contributing to leading industry guidance and community wisdom
Publications & Community Contributions
ISPE GAMP Guidance
- Lead author of the ISPE GAMP Guide: Artificial Intelligence
- Core team member, chapter lead, and contributing author for several ISPE GAMP Good Practice Guides
Representative Publications
- ChatGPT, Bard, and Other Large Language Models Meet Regulated Pharma (APEX Award)
- Reimagining Informed Consent in the AI Avatars Era of Complexity
- Additional publications in ISPE and peer‑reviewed journals (e.g., ISPE Pharmaceutical Engineering; SAGE journals)
Full list of more than two dozen publications available on request.
Community Roles
- Secretary, Global GAMP SIG Software Automation & AI
- Member, GAMP D‑A‑CH Steering Committee
- Frequent (keynote) speaker and workshop moderator (e.g., ISPE conferences)
Hi, I am Martin!
I am a trained mathematician with more than a decade of experience advising organisations on regulated data, digital and AI—from the roots of data science to quality‑system transformation, business‑driven roadmaps, and corporate strategy. My experience spans life sciences and other sectors where data is core to value creation, enabling transfer of robust practices while staying aligned with regulatory expectations.
Typical engagement formats: Project‑based consulting · Speaker engagements · Fractional advisor · Trainer / instructor
Contact
Address
MH Consulting & Advisory GmbH
Managing Director: Martin Heitmann
Ernst-August-Platz
Bahnhofstr. 8
30159 Hannover
Germany