Role-based
Operators, Quality, clinical, regulatory, IT and leaders do not receive one generic pathway.
For organizations
A defensible route from AI interest to workforce qualification
The Academy helps regulated life-sciences teams define permitted AI use, configure learning around their approved AI systems and roles, test observable competency and retain evidence that can be evaluated inside the organization's own quality system.
Risk-proportionate
Controls scale with intended use, data sensitivity, decision influence and regulated impact.
Evidence-bearing
Completion, attempts, practical work, badge criteria and versions can form a reviewable record.
System-aware
Academy evidence supports—not replaces—the sponsor's SOPs, validation, authorization and quality decisions.
Who it serves
Pharmaceutical, biotechnology, medical-device, CRO and CDMO teams
Programs are built for organizations that need more than general AI awareness: they need role-specific boundaries, documented readiness, practical qualification and evidence that can be reconciled with training, validation, change-control and quality-system records. Common starting problems include unmanaged tool adoption, inconsistent human review, missing use-case inventories, weak change triggers and completion records that do not show competency.
Delivery model
Six controlled stages
The sequence is designed to prevent a learning badge from being mistaken for authorization to use an AI system in regulated work.
01
Readiness baseline
A 30-question diagnostic examines governance, validation, data integrity, change control, oversight, vendor controls and workforce capability. Results identify evidence gaps; they are not a certification.
02
Role and risk mapping
Sponsors identify the regulated activities, jurisdictions, approved tools and decision rights for each learner population. The pathway is then assigned by role and risk.
03
Controlled learning
Learners complete the required tracks, knowledge checks and practical exercises using sponsor-approved examples and handling rules.
04
Competency decision
A badge is issued only after the published score, safety-critical, practical-evidence, documentation and escalation gates are met.
05
Operational transfer
The sponsor decides how the evidence supports training records, role qualification, supervision or change management within its own quality system.
06
Maintenance
Renewal, regulatory updates, role changes and material system changes trigger reassessment or targeted refresher work.
What an organization receives
A reviewable qualification package
- Readiness findings and a prioritized capability plan
- Role-to-track assignments with prerequisite logic
- Published learning objectives, framework mappings and source status
- Assessment attempts, practical evidence and remediation history when persistent records are configured
- Verifiable badge records with curriculum version, issue date and expiry
- A handoff describing assumptions, open gaps and decisions retained by the sponsor
Sponsor responsibilities
What remains with the regulated organization
- Determining legal and regulatory applicability for the actual use case
- Approving tools, intended uses, data classes and authorized users
- Validation or assurance, supplier oversight, change control and incident handling
- Confirming learner identity when stronger assurance than a self-asserted display name is required
- Integrating evidence into the applicable LMS, QMS, training SOP and record-retention process
- Making employment, batch, clinical, quality and regulatory decisions
Illustrative timeline
A six-to-eight-week baseline and launch
Timing changes with cohort size, data access, customization and sponsor review. The written proposal controls the actual schedule.
Week 1
Scope, stakeholders, regulated context and data-handling rules
Weeks 1–2
Readiness assessment, evidence review and risk/role segmentation
Weeks 2–3
Custom pathway mapping, sponsor approval and baseline report
Weeks 3–6
Cohort learning, practical evidence, remediation and progress reporting
Weeks 6–7
Competency assessment, credential decision and exception handling
Weeks 7–8
Management readout, record handoff and maintenance plan
Customized upskilling pathways
Train for the AI your people actually use
The pathway published by the Academy is one working example, not a fixed template. We can build a company-specific pathway around your approved AI environment, operating model and quality controls.
Models and platforms
Approved providers, model families and versions, embedded copilots, agents, deployment settings, capabilities, limits and vendor-change notices.
Use cases and workflow context
The actual tasks, processes, records and decisions in scope, with permitted uses, prohibited uses, required human review and escalation points.
Roles, permissions and decision rights
Different pathways for operators, reviewers, approvers, Quality, IT, administrators and model owners, tied to access and supervision expectations.
Data boundaries
The data classes a learner may handle, prompt and output restrictions, record-retention expectations, residency needs and approved environments.
Controls and evidence
Relevant SOPs, validation or assurance status, risk tier, audit-trail needs, monitoring, exceptions, CAPA and change-control triggers.
Maintenance and change
Targeted refreshers when a model, prompt library, workflow, data source, permission set, policy or regulated use changes materially.
Published Academy tracks remain version-controlled. Each organization-specific overlay is sponsor-reviewed and versioned, so it can add local systems, examples, responsibilities and evidence expectations without silently changing the published credential standard. The sponsor retains approval authority for its AI systems, access, data, procedures and qualification decisions.
Enterprise reporting
An agreed report can show assignment, completion, attempts, safety-critical gaps, remediation, practical evidence status, credentials, expirations and unresolved exceptions. Access, export format, retention and identity assurance are defined before learner data is collected.
Engagement controls
Scope before access
Data: the sponsor defines approved examples and prohibits PHI, patient data, trade secrets or regulated records unless a written arrangement and suitable system controls permit them.
Identity: organization-sponsored cohorts may use roster verification, employer email, facilitated assessment or another agreed control. The method is documented with the credential record.
Change: material changes to curriculum, assessment criteria, authority status or delivery controls are versioned and communicated before they alter an active qualification decision.
Start with the evidence
Discuss an organizational readiness baseline
Contact Brian J. Drapeau directly. The initial conversation defines the population, regulated context, decision needed and data restrictions before any proposal.