Only 23% of pharma and healthcare companies have adopted agentic AI, according to a recent survey. This statistic reveals a massive untapped opportunity—but also a warning: rushing into AI-driven automation without modernizing data platforms could create compliance, trust, and operational risks.
Inside the Report – At a Glance
At Axtria Ignite 2025, senior executives from leading life sciences organizations joined Amanjeet Singh, Head of Strategy, Operations and SBU Leader, Axtria, to discuss what it will take for pharma’s commercial data ecosystems to fully harness agentic AI. This white paper captures their candid insights and offers a pragmatic roadmap to transform legacy platforms into intelligent ecosystems where agents act, learn, and deliver insights autonomously.
The Agentic AI Shift in Pharma
Pharma’s digital transformation has moved from data warehouses to lakehouses, and dashboards to data products. Now, agentic AI represents the next frontier:
- From insight delivery to autonomous action: Agents can interpret data, act independently, and learn over time.
- From insight delivery to autonomous action: Agents can interpret data, act independently, and learn over time.
- From siloed platforms to orchestrated ecosystems: AI agents thrive in interconnected data environments optimized for speed, compliance, and personalization.
The agentic future is no longer theoretical—it’s being piloted today.
Organizations that act now will define pharma’s next era of commercial operations:
- Agents as teammates, not tools: Supporting field teams and executives with proactive insights.
- Compliance-first automation: Built on transparent governance frameworks.
- Scalable innovation: Real-time, contextual, autonomous platforms at the enterprise level.
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