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AI Governance for Pharma Teams: What Auditors Will Care About

  • 45 minutes
  • 2 slides
What we'll cover
  • 0:00 Audit Lens On AI
  • 8:00 Use Cases That Raise Flags
  • 18:00 Evidence Beats Policy
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What you'll take away

Practical shifts you can apply this week

  • Identify Risk Tiers That Trigger Governance

    Spot which pharma AI uses need tighter oversight based on GxP impact, safety, records, and accountability.

  • Compare Policy With Audit Evidence

    See what auditors ask for beyond a tidy policy, from approvals to versioned records and training proof.

  • Evaluate Controls Auditors Will Test

    Review validation, vendor oversight, data integrity, change control, and human review in one framework.

  • Diagnose Gaps Before Findings Happen

    Catch the weak spots that let a reasonable pilot drift into an avoidable audit issue.

  • Draft A Minimal Audit-Ready Documentation Set

    Leave with a lean record set you can adapt to one live AI-enabled process within 30 days.

Agenda

What we'll cover

  1. 0:00

    Audit Lens On AI

    How auditors frame risk: what the tool does, what it affects, and who owns the output.

  2. 8:00

    Use Cases That Raise Flags

    Which AI uses draw scrutiny in pharma, including GxP-adjacent gray zones and higher-risk examples.

  3. 18:00

    Evidence Beats Policy

    What counts as proof in practice: approvals, traceability, training, and versioned records tied to use.

  4. 27:00

    Controls Auditors Will Test

    A practical walk-through of intended use, human review, output checks, change control, and incidents.

  5. 39:00

    Vendor Oversight And Data Records

    How to handle supplier claims, SaaS drift, prompts, metadata, audit trails, and retention.

  6. 43:00

    Mock Findings, Recap, Q&A

    Common findings, quick fixes, and the 30-day review: pick one use case, name the owner, close top gaps.

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