In this special episode of the Agent Workforce Podcast, Kristiina and Niko sit down with Kseniia Palin, Senior Data & AI Engineer at Digital Workforce, to explore how GenAI is reshaping the way AI solutions are built, delivered, and maintained.

Kseniia shares her journey from developing traditional machine-learning solutions in AWS and Azure to delivering today’s agentic workloads, and how development methods, team collaboration, and governance need to evolve to keep up.

Catch up on this episode:

🔹 What’s changed between traditional ML and GenAI projects

🔹 How agentic development adds complexity, and opportunity

🔹 Why cross-team collaboration and trust matter more than ever

🔹 No-code, low-code or pro-code, and how to choose the right path

Before the deep dive, our hosts recap the recent OpenAI updates, from the ChatGPT usage study and GDPVal benchmark, to Dev Day rumours and the Deloitte AI report case.

🎧 It’s a longer conversation, so pick up your beverage of choice and buckle up!

Chapters:

00:00 Intro

01:10 Meet Kseniia Palin

02:00 OpenAI Updates Recap

03:50 ChatGPT Usage & Adoption at Work

06:20 Reflections on Workplace AI Use

07:45 Introducing GDPVal

11:30 Implications for Real Workflows

13:15 OpenAI Agent Builder Rumours

14:55 From ML to Agentic Development

15:35 No-Code, Low-Code or Pro-Code?

19:25 Enterprise Constraints and Upskilling

20:55 The Rising Complexity of Agentic Solutions

25:25 Trust, Security & Responsibility

27:20 Collaboration Over Silos

29:50 Learning and Working in the Agentic Era

31:45 Preparing Organizations for Agentic AI

35:35 The Deloitte AI Report Case

38:00 Human Oversight in the Age of Automation

40:00 Events & Wrap-Up