Why the work must be controlled
Regulatory Requirements
Translate FDA, EMA, MHRA, ICH, Part 11, Annex 11, CSA/CSV, UDI/EU MDR, privacy, security, and AI expectations into practical requirements for regulated work.
Explore regulatory requirementsMost AI deployments in life sciences stall on governance, data trust, or regulatory defensibility. USDM connects all six: regulatory requirements, governance, trusted data, continuous evidence, AI deployment, and people adoption — into one operating model that can actually scale.
One operating model
Six capabilities
Each capability has a job. Together they answer the question every regulated organization faces: can we deploy AI and change how work gets done — without creating regulatory, data, security, or adoption problems?
Why the work must be controlled
Translate FDA, EMA, MHRA, ICH, Part 11, Annex 11, CSA/CSV, UDI/EU MDR, privacy, security, and AI expectations into practical requirements for regulated work.
Explore regulatory requirementsWho decides and what risk is acceptable
Define ownership, decision rights, risk classification, cybersecurity posture, third-party oversight, and escalation paths before AI spreads through the enterprise.
Strengthen governance and riskWhat agents and teams can trust
Connect the data, content, metadata, permissions, lineage, and interoperability patterns required for analytics, automation, retrieval, and inspection-ready evidence.
Modernize the data foundationHow evidence stays current
Move beyond point-in-time validation with ongoing control, verification, lifecycle management, monitoring, and audit-ready evidence as GxP systems and workflows change.
Improve compliance defensibilityWhere AI becomes operational leverage
Turn strategy into controlled AI workflows across quality, regulatory, clinical, manufacturing, pharmacovigilance, commercial, medical, IT, and operations teams.
Deploy AI with controlHow the change actually sticks
Prepare people through role-based training, adoption planning, stakeholder alignment, governance education, communications, and practical change management.
Prepare your teamsThe operating model
USDM's Govern → Prepare → Build → Validate → Scale model is designed for life sciences teams that cannot afford to skip steps. Domain agents sit on top of this foundation — bounded, approved, inspection-ready.
Govern
Regulatory requirements define the edge cases. Governance assigns ownership and decision rights.
Prepare
Data and infrastructure make retrieval trustworthy and inspection-ready.
Build
Agents perform narrow, approved work with escalation rules and source boundaries.
Validate
Continuous compliance keeps evidence current as systems and workflows change.
Scale
Human-controlled decisions and ongoing monitoring let the portfolio grow safely.
Why USDM
USDM brings compliance, data, technology, AI, and managed services together so modernization moves without leaving Quality behind.
25+ years in GxP
Deep life sciences and GxP expertise across quality, regulatory, clinical, IT, and operations — from small biotech to global pharma.
900+ global clients
US and EU delivery teams with client experience spanning drug, device, diagnostics, CRO, and CDO environments.
Compliance meets AI delivery
Practical transformation models that connect compliance requirements with AI deployment and measurable business outcomes — not theory.
Full-spectrum capability
Validated GxP systems, cloud platforms, data integrity, AI governance, cybersecurity, and managed services under one roof.
Further reading
Start the conversation
Whether you need to assess readiness, close governance gaps, modernize data infrastructure, or deploy validated AI workflows — USDM has done it for 900+ life sciences organizations.
Talk to USDM