Feature
90 minutes.
Cross-brand. One question:
What does it mean to lead AI across discovery, development, biomanufacturing and food-tech?
How are AI, data architecture and process intelligence reshaping how drug discovery, CGTs, biotherapeutics and alternative proteins are discovered, scaled and delivered – and what does that demand of the leaders in charge?
The format:
* Day 1: Big picture.
How AI leadership redefines value creation.
* Day 2: Concrete remit.
AI, data, automation and process intelligence as enterprise utilities—not projects.
* Close: Leaders' panel.
Responsibilities, metrics, operating models.
The lens:
* How AI and data infrastructure become shared "nervous systems" across biotechs, CDMOs, pharma and platform companies.
* How an AIO designs and governs systems that move therapies and proteins faster, more reliably and with clearer evidence.
For the few who shape what's next.
AIO Circle is an invite-only governance and strategy platform for leaders responsible for AI and automation-enabled decisions across drug discovery, development and biomanufacturing.
It helps senior executives move from pilots to governed, auditable systems in production.
Curated for.
Built for decision-makers who sign their name under AI and automation-enabled outcomes.
The focus is governance, accountability and the operating architectures that make these systems explainable, defensible and scalable in regulated life-science environments.
Target audience
Senior leaders who own operational outcomes: AIOs, CEOs, CTO, CSOs, COOs, Heads of Manufacturing, MSAT and CMC leaders, Quality and Regulatory executives, R&D and Drug Discovery leaders, Digital and AI officers across biologics, CGT and alternative proteins.
Strategic Priorities for Leadership.
1 / AIO 90 mins features - @ BILS. MEVO | DDIF. SCIS.
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AI governance in life sciences
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Automation in drug discovery and biomanufacturing
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Regulatory compliance for AI-enabled systems
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Operational technology in pharma manufacturing
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Data integrity and auditability
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Digital transformation in biologics and CGT
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Leadership decision-making in regulated environments
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Manufacturing excellence and process automation
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Lab automation and smart manufacturing
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Cross-functional alignment in biopharma operations
2 / Workforce Leadership Panels.
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Talent shortage as growth barrier
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Biopharma 4.0 skillset requirements
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Training one team across modalities
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GMP workforce development
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Digital manufacturing talent gap
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Automation and workforce redesign
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1/3 workforce, 3x productivity thesis
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Human-machine collaboration
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Academic-industry training partnerships
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Upskilling and reskilling programmes
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Leadership for operational transformation