Guest LinkedIn: Jolanta Pomiotlo | LinkedIn

Podcast Key Takeaways:

Start with the Business Problem

Jolanta Pomiotlo emphasizes that organizations should not pursue AI for its own sake; the best results come from identifying a real business problem first and then applying the right technology to solve it.

Strong Data Foundations Enable AI Success

The conversation highlights that data quality, context, and governance are essential to moving AI initiatives beyond pilot mode and into production, since poor or fragmented data leads to poor outcomes.

Start Small to Build Momentum

Rather than beginning with large, complex AI initiatives, the episode stresses the value of starting with smaller, more manageable use cases where data is stronger and value can be demonstrated quickly.

Change Enablement Drives Adoption

Successful AI rollout depends on tailored training, change champions, and helping employees rethink how they approach their work, while addressing resistance and building confidence in the tools.

Governance and Security Must Come First

As AI tools become embedded in daily workflows, organizations need clear guardrails around permissions, sensitive data, and platform governance to ensure secure and responsible use.

AI Accelerates Productivity, Not Just Technology

The episode explores how AI can help teams prototype faster, reduce manual effort, and work through larger backlogs, ultimately enabling organizations to deliver value more quickly.