Artificial Intelligence

From Spend to Impact: Pharma's AI Value Realization Gap

Pharma doesn't have an AI investment problem. It has an AI value realization problem. This paper shows where to look for AI's impact, and how to measure it, long before it shows up on the P&L.
Download White Paper

Pharma companies rank among the heaviest AI investors of any industry, yet most struggle to turn that spending into scaled, defensible impact. The usual culprit isn't the technology. It's a measurement problem: pharma applies ROI logic built for industries with fast, linear feedback loops to a business where the consumer, the customer, and the payer are rarely the same person, and where high-stakes decisions take months to show their effects. This white paper introduces a practical framework for locating AI's impact early and measuring it in terms that hold up to executive scrutiny, so value can compound into a business case that survives past the pilot stage.

What You'll Take Away

  • Why pharma outspends most industries on AI, yet converts less of that spend into scaled, enterprise-level impact than sectors like technology and financial services.
  • The three recurring barriers that stall AI business cases in pharma: value measured too far downstream, adoption assumed rather than confirmed, and ownership fragmented across silos.
  • The ABC Domains framework, which locates where AI impact actually lands across an organization.
  • The ABC Metrics framework, which defines what that impact looks like at each stage, from output quality to adoption to business outcomes.
  • A practical first step you can apply to a single AI initiative already in your portfolio, without waiting for downstream financial attribution.

Who Should Read This

  • Commercial and Marketing Leaders: Build a defensible case for AI-powered field targeting, content, and engagement tools without over-promising near-term revenue lift.
  • Medical Affairs and Market Access Leaders: See how AI's impact on decision quality, trust, and adherence can be tracked in your domain, not only in commercial functions.
  • Data, Analytics, and AI Leaders: Get a shared language and metric set that aligns business stakeholders on what success looks like before a pilot launches, not after.
  • Executives Evaluating an AI Portfolio: Get a framework to pressure-test initiatives already in flight and build a stronger investment narrative for what comes next.

Ready to see the full framework?

Download the white paper to see the ABC Domains and ABC Metrics frameworks applied to real pharma use cases, including field targeting, MLR content review, and pricing decisions.

FAQs

Complete the brief form to download the white paper

Recommended insights

From Spend to Impact: Pharma's AI Value Realization Gap

White Paper

From Spend to Impact: Pharma's AI Value Realization Gap
From Spend to Impact: Pharma's AI Value Realization Gap

White Paper

Rewriting the Commercial Playbook for the Agentic Era
From Spend to Impact: Pharma's AI Value Realization Gap

Reports

The Governed Foundation Behind Every AI Program That Scales