Controlled content
Document libraries, metadata, review and approval flows, versioning, retention, and access for controlled information.
GxP / Computerized system validation
Practical, risk-based support to define how SharePoint is used, document what matters, test the right controls, and assemble reviewable evidence for your quality system.
Validation starts with intended use—not a generic checklist.
The scope, controls, and evidence should reflect business impact, data integrity, configuration, integrations, and your organization’s procedures.
Where support fits
We help teams examine the actual process and configuration before deciding what belongs in the validation boundary.
Document libraries, metadata, review and approval flows, versioning, retention, and access for controlled information.
Configured forms, lists, approvals, notifications, and automations that support regulated business processes.
Data capture, auditability, status history, electronic records, exports, and evidence used for review or decisions.
Permissions, identity, Power Platform components, interfaces, migration, and dependencies that can affect the validated process.
Validation deliverables
Deliverables are selected and scaled according to the intended use, risk, project stage, and your quality procedures.
Risk-based approach
The work can support a new implementation, a substantial change, or an assessment of an existing SharePoint environment.
Map the intended use, process, stakeholders, records, configuration, suppliers, and existing quality-system expectations.
Set the boundary, requirements, responsibilities, risks, controls, acceptance criteria, and proportionate test strategy.
Execute approved testing, capture objective evidence, document deviations, and maintain traceability through review.
Complete the report and establish practical change, access, incident, backup, review, and retirement controls as applicable.
MDose AI provides validation and documentation support; it does not certify systems or guarantee regulatory compliance. Final approval and accountability remain with the regulated organization.
Frequently asked questions
No. The approach should follow the intended use, the records or decisions the system supports, applicable procedures, and documented risk. Scoping determines what needs control and evidence.
Depending on scope and risk, a package can include an intended-use statement, validation plan, URS, risk assessment, IQ/OQ/PQ or other appropriate testing, traceability, objective evidence, deviation records, and a summary report.
Not automatically. Test phases and terminology should suit the system, intended use, risk, hosting model, available supplier evidence, and your organization’s procedures.
Yes. Existing configurations, permissions, workflows, records, integrations, and documentation can be reviewed to identify gaps and define a proportionate remediation and evidence plan.
No. MDose AI provides validation and documentation support. The regulated organization remains responsible for approving its intended use, procedures, risk acceptance, and validated state.
Start with the context
Share what the system supports, where the project stands, and what your quality team needs to review.