AI in Pharma: Improving Speed, Compliance and Trust

AI in Pharma isn’t a “future topic” anymore, it’s already changing how teams think about speed, efficiency and risk. The question I’m focused on is simple: how do we use AI to reduce friction in critical workflows without eroding quality, compliance or trust?

In this Five&Co. conversation, I speak with Harry Bliss (co-founder of Siguru AI) about what responsible, human-in-the-loop AI can look like in Pharma, especially across review and approval.

Watch the Conversation: AI in Pharma

Watch the full interview to hear Harry go deeper on compliant AI adoption, human-in-the-loop workflows, and what it takes to build confidence in regulated teams.

Play Video

Practical Actions for Leaders

• Firstly, speed is a leadership issue, not just an efficiency metric.
  When review cycles stretch (Harry cites ~40 days in some cases), teams lose momentum and pressure rises.
  
• Use AI to remove grind, not responsibility.
  The strongest use cases have AI supporting humans with repetitive and time-heavy tasks, while human experts stay focused on the higher-value decisions that require judgment.
  
• Adoption is cultural.
  Progress depends on confidence, clarity on risk, and leaders creating safe conditions to learn responsibly.
  
• Start small: crawl, walk, run.
  For instance; begin with low-risk experiments, gather evidence, learn what works, and then build towards wider adoption.

Want to talk?

If you’re leading teams through pressure, complexity and change, Five&Co. can help you reduce friction and build the conditions for sustainable high performance.

Find out more about Siguru AI: https://siguru.ai