Commercial ExcellenceEleven Decisions

The AI Impact Guide for Commercial Excellence in Pharma & CPG.

Most commercial AI roadmaps fund the exciting use case first and the highest-leverage one last. This guide gives Heads of Commercial Excellence the right order, a ranked, sourced sequence for both Pharma and CPG, with the dollar impact behind each decision.

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What's inside the guide.

Eleven questions. Two industries. One sourced sequence.

  1. 01Strategy: what should commercial AI actually optimise for?
  2. 02Sequencing: how should we sequence commercial AI investment?
  3. 03Pharma priorities: where should Pharma commercial teams start?
  4. 04CPG priorities: where should CPG commercial teams start?
  5. 05Data foundation: what does commercial AI require?
  6. 06Build, buy, partner: what goes where?
  7. 07Governance: how should it differ by risk tier?
  8. 08Operating model: centralised or federated?
  9. 09People: what happens as AI scales?
  10. 10Upskilling: how do we adopt without stalling?
  11. 11Compounding value: how do we know it's working?
Two sequencing lensesWhen to fund a use case, by P&L lever and proof speed, and whether it has earned funding at all, by opportunity and capture readiness.
A ranked, sourced priority listSeparate final sequences for Pharma and CPG, with top-line and bottom-line impact estimates cited to named research.
A 12-month agendaPlus the target commercial AI stack, one connected brain instead of ten point tools, with a role-by-role change plan.

95%

of enterprise gen AI pilots show no measurable P&L impact, despite an estimated $30 to 40B in enterprise spend.

MIT NANDA, 2025 · cited in the guide

More guides from The Decision Desk.

Seven guides, from the CEO agenda to the plant floor. Each is a ranked, sourced priority sequence, built on research from Bain, McKinsey, Deloitte, BCG, EY, ZS and MIT NANDA.

The Decision Desk · Commercial Excellence Guide

Commercial Excellence Guide for AI in Pharma & CPG.

Eleven questions. Two industries. One sourced sequence. Free, no spam, no sales pitch first.

Backed by McKinsey, BCG, ZS, KPMG and MIT NANDA research

The Decision Desk

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