Event
Building a value-driven AI programme in pharma & life science - webinar
Many pharma and life science organisations have no shortage of AI ideas — what they lack is a structured way to turn them into value. Join NIRAS to learn how to build an AI programme that connects strategy, operations and compliance, and moves confidently from ambition to implementation.
Date: 4. November 2026 15.00 - 4. November 2026 16.00
Cost of admission: Free
Organiser: NIRAS
Artificial Intelligence offers significant opportunities across pharmaceutical and life science operations. Yet many organisations struggle to move beyond isolated experiments, local initiatives and technology-led pilots. The challenge is often not a lack of AI ideas. It is the absence of a structured process for determining which business problems are worth solving with AI and which opportunities can create measurable value.
In a GxP-regulated environment, prioritisation must consider more than financial benefit. Data and implementation readiness, impact on patient safety and product quality, regulatory obligations, organisational capabilities and the required level of governance all influence whether a use case is viable and how it should be implemented.
In this webinar, NIRAS will show pharma and life science leaders how to establish an AI programme that connects strategy with operational needs, creates a qualified pipeline of use cases and prioritises initiatives according to business value, readiness and compliance impact. The webinar will also introduce how AI maturity and the organisational setup support a controlled path from ambition to implementation.
You'll learn:
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How to establish an AI programme that connects business strategy, operational needs and regulatory responsibilities
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How to identify and qualify AI use cases based on real business problems rather than technology-driven ideas
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How to prioritise opportunities using business value, implementation readiness and GxP or compliance impact
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How to assess AI maturity and define the cross-functional roles required to move from experimentation to implementation
Who is this webinar for?
Leaders in pharma and life science organisations who want to move beyond fragmented AI initiatives and create a structured, value-driven and governed approach to adoption:
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Manufacturing & quality leadership Heads of Manufacturing, VP Quality, Plant Directors, QA Directors
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Digital transformation & innovation leadership Chief Transformation/Innovation Officers, Digital Transformation Directors, Chief Digital/Technology Officers
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Business, data & technology leadership Business Process Owners, IT Directors, Data Leaders, Automation and Engineering Leaders
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Executive leadership CEOs, COOs and Managing Directors responsible for AI strategy, investment priorities and regulated operations
Agenda
| Time | Session | Content |
|---|---|---|
| 15:00 to 15:05 | Welcome and the AI adoption challenge | Why many organisations have numerous AI ideas but still struggle to create measurable and scalable business value |
| 15:05 to 15:15 | From AI ideas to an AI programme | The difference between isolated experiments and a structured programme linking strategy, ownership, governance and delivery |
| 15:15 to 15:28 | Identifying value-driven use cases | How to start with business problems, define expected outcomes and build a qualified pipeline across manufacturing, quality and support functions |
| 15:28 to 15:40 | Prioritising the AI portfolio | A practical model combining business value, strategic alignment, data and implementation readiness, resource needs and GxP or compliance impact |
| 15:40 to 15:50 | AI maturity and organisational setup | How strategy, governance, people, process, data and technology maturity determine what can be implemented responsibly and at scale |
| 15:50 to 16:00 | Practical next steps and live Q&A | A focused 90-day starting point, followed by audience questions on AI programme design, use-case prioritisation and organisational readiness |
Meet the hosts:
Jesper Madsen Wagner
Expertise Director
Kalundborg, Denmark