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Enterprise pharma · Governance · AI readiness

Novartis

From multi-year stall to an audit-ready channel governance operating system

A compressed transformation program that gave a compliance-sensitive initiative clear gates, ownership, evidence discipline, and a practical path toward agentic assistance.

4 monthsto deliver the operating foundation
60+US brand teams aligned
10SOPs in the governance compendium
30prescription brands in scope

01 · The challenge

What had to change

The mandate touched Brand, Market Access, IDS, Studio/Web Ops, Medical, Regulatory, MLR, and Field Operations. Years of accumulated ambiguity meant the work needed more than a project plan: it needed a shared system of record for decisions, status, evidence, and accountability.

02 · The system

Architecture and operating components

ARCHITECTURE VIEWNovartis operating system
01Brand intakeIdentity + scope
Novartis
02Governance gatesRACI + 10 SOPs
03Evidence modelDecision + status
04Control centerReadiness + reporting
Microsoft
05Agent assistanceBounded maturity path
Microsoft
Open the implementation sequence
  1. 01

    Reframed intake-to-launch as a gate-based workflow with explicit entry criteria, ownership, escalation paths, and milestone-level evidence requirements.

  2. 02

    Built a RACI-lite ownership model, cohort onboarding approach, kickoff standards, backlog governance, and a 10-SOP operating compendium.

  3. 03

    Led readiness documentation across 60+ US brand teams and translated policy, technical, and measurement requirements into reusable artifacts.

  4. 04

    Defined AI-extractable identity, decision, status, and evidence signals, then mapped a phased path from document-first MVP to Copilot and Power Platform assistance.

03 · The outcome

What became possible

  • Delivered in four months an auditable operating foundation for a program that had not moved in years.
  • Created clearer ownership, repeatable brand onboarding, and stronger evidence discipline without pretending automation could replace governance.
  • Established an AI-ready signal layer designed to support future monitoring, reasoning, and assistive execution.
Forward signal

The durable advantage is the signal model: once identity, decision, status, and evidence are consistently captured, assistive agents can be introduced without sacrificing auditability.

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