GxP Validation
Define intended use, GxP impact, validation strategy, test evidence, change control, audit positioning, and human review for Glean-supported workflows.
Turn enterprise knowledge into governed Work AI for life sciences.
Glean brings enterprise search, AI answers, assistants, agents, and connectors into one Work AI platform. For life sciences, the value is not just finding information faster — it is making knowledge permission-aware, traceable, and usable inside governed quality, regulatory, clinical, manufacturing, commercial, and IT workflows.
Partnership capabilities
Where we strengthen Glean for regulated operations.
Knowledge Architecture
Design permission-aware connectors across Veeva, ServiceNow, SharePoint, Box, Salesforce, Teams, Outlook, Jira, Confluence, and regulated repositories.
Life Sciences Agents
Build and govern agents for SOP analysis, inspection readiness, quality review, deviation support, evidence retrieval, regulatory knowledge, onboarding, and KPI workflows.
Adoption and Optimization
Support role-based enablement, governance education, stakeholder alignment, connector monitoring, agent roadmaps, and post-go-live managed services.
100+
Glean app connectors cited on Glean’s official site
900+
life sciences organizations served
25+
years of life sciences regulatory and technology experience
36 hrs
employee onboarding time saved cited by Glean’s official site
20%
internal support request reduction cited by Glean’s official site
6 mo.
investment recovery timing cited by Glean’s official Forrester TEI promotion
Operational depth
A fuller view of how we support Glean environments.
Beyond implementation, regulated teams need governance, support, release discipline, validation evidence, and practical optimization that keeps the platform working for the business.
The knowledge problem
Fragmented knowledge slows regulated work.
Critical information lives everywhere, but regulated teams need trusted answers quickly — with the right permissions, citations, and review expectations intact.
- R&D, clinical, quality, regulatory, manufacturing, safety, and commercial knowledge sits across disconnected systems.
- Teams duplicate effort when prior work, decisions, SOPs, and evidence are hard to locate.
- Executives and SMEs make slower decisions without complete enterprise context.
- Compliance risk rises when answers lack citations, access controls, or review history.
- AI pilots stall when the knowledge layer is incomplete or poorly governed.
Regulated operating model
Deploy Work AI with life sciences guardrails.
Our role is to make Glean practical and defensible for life sciences, not just impressive in a demo.
- Use-case scope, intended use, GxP impact, and risk classification.
- Validation strategy, test approach, audit evidence, and change control.
- Connector governance across validated systems and enterprise repositories.
- Role design, permissions review, human review, and citation standards.
- Managed services for adoption, agent improvement, connector health, and compliance alignment.
High-value workflows
Where Glean can matter first in life sciences.
The strongest early use cases combine broad knowledge access with clear human accountability and measurable operating friction.
- Inspection readiness: locate evidence, prior responses, commitments, SOPs, and SME context.
- SOP analysis: compare policies, summarize changes, and identify downstream impact.
- Deviation and CAPA support: retrieve history, procedures, investigations, and trends.
- Regulatory knowledge: surface submissions, correspondence, commitments, and product context.
- Onboarding and field support: reduce dependence on tribal knowledge.
Specialized Glean motions
More than generic platform support.
These Glean operating needs are practical service paths for regulated teams.
Inspection readiness
Build an evidence-retrieval layer before inspection day.
Glean can connect prior inspections, SOPs, quality records, commitments, correspondence, and SME knowledge. We define the governance, validation, and response model so teams can use those answers with confidence.
Knowledge architecture
Make enterprise content useful for AI without breaking permissions.
We help map sources, metadata, access controls, classification, and connector scope so Glean can retrieve the right context from systems like Veeva, ServiceNow, SharePoint, Box, Salesforce, Teams, and Confluence.
Agent governance
Move from search to agents with human accountability intact.
We help define which agents can summarize, draft, retrieve, compare, route, or recommend — and where human review, validation evidence, and change control are required.
Resources
Related Glean Resources
Insights, case studies, and technical resources for life sciences organizations working with Glean.
Blog
Work AI for Life Sciences: Why USDM Chose Glean
Why Glean fits regulated life sciences knowledge work.
White paper
AI in Life Sciences: 47 Use Cases for Quality, Regulatory, Clinical, and Manufacturing Teams
Use-case catalog for governed AI across regulated life sciences functions.
White paper
AI Governance for Life Sciences Enterprise Framework
A framework for compliant, scalable AI governance.
Blog
90-Day AI Readiness for Life Sciences
A practical roadmap for use-case inventory, risk scoring, pilot selection, and scale planning.
Blog
Data Classification for Life Sciences AI Readiness
Why classification, metadata, and access controls are prerequisites for AI search and agents.
Event
USDM at Glean:GO 2026
Glean:GO 2026 event page and partnership conversation guide.
Official
Glean Work AI Platform
Official Glean site covering Assistant, Agents, Search, Protect, connectors, and Work AI platform positioning.
Official
Glean Connectors
Official connector directory for systems Glean can index and connect.
Official
Forrester Total Economic Impact of Glean
Official Glean-hosted Forrester TEI resource.
Technology partnerships
Want to learn more about our technology partnerships or become an official partner?
Talk with USDM about partner programs, regulated technology adoption, and ways we can help life sciences teams get more value from platforms like Glean.