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Identifying and Executing Quick-Win Generative & Agentic AI Use Cases in Life Sciences
About Polaris o2h has been working at the intersection of technology and life sciences for over two decades, supporting both large pharmaceutical companies and emerging biotechs across discovery, technology, and AI/digital transformation projects.
AI is driving signifcant change across the life sciences sector. The pace of change is quicker and the gap between what
AI is capable of and what organisations are actually implementing needs constant attention.
At o2h Technology, we have launched Polaris, a new AI implementation offering designed specifcally to help life sciences organisations move quickly into practical execution.
Polaris is focused on helping organisations identify and execute early quick-win AI use cases using the latest generative and agentic tools. The focus will be improve workfow effciency, unlock new opportunities, and help teams build direct hands-on experience with AI tools, data, processes, and applications. The early wins would then provide a beachhead for deeper and more wide ranging projects during a second phase of work.
A practical starter package for identifying opportunities or pain points for a modest exploration of 1-2 use cases.
Accelerate
16 Weeks Engagement
An extended engagement focused on implementation, orchestration, and building early
Agentic AI workfows with 2-3 use cases with a modest scope or 1-2 use cases at a deeper level.
Designed for organisations looking to scale AI capabilities, operational integration, orchestration, and longterm transformation initiatives.
Through
Polaris we will work with you to help build
Practical AI workfows designed to improve operational effciency and unlock measurable value
Direct organisational experience with AI tools, data, processes and applications
Practical AI applications within regulated life sciences environments
Polaris is designed to help organisations identify opportunity or performance gaps, and engage in AI experimentations during a phase one, and step towards a structured, scalable, and more measurable implementation in a second phase.
*Additional terms, conditions, timelines, deliverables, and commercial considerations may apply depending on organisational requirements, technical complexity, and programme scope.
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