The Agent Workforce Podcast

In the final episode of the Agent Workforce Podcast, we take a step back to reflect on where AI is heading and what truly matters beyond the headlines.We discuss Genie 3 world models, what they reveal about how AI systems may reason about and interact with the world, and why this shift matters for future applications. We also unpack a critical distinction that often gets blurred: why Enterprise AI Agents are fundamentally different from copilots, and why that difference becomes essential as AI moves into real operational environments.This conversation focuses on autonomy, control, and reliability, and on what it takes to move from personal productivity tools to enterprise-grade AI that operates inside real processes.To everyone who has listened, shared, and followed along, thank you. We appreciate the curiosity, the thoughtful feedback, and the conversations this podcast has sparked along the way. 💙Stay curious! Happy listening! 🎧

In this episode, Kristiina and Niko unpack one of the most talked-about AI developments of the moment: Claude Code and Claude Cowork from Anthropic.Originally built for developers, Claude Code is rapidly becoming a powerful tool for knowledge work, autonomous agents, and small-team innovation. We explore how Claude Cowork was built almost entirely using Claude Code itself, what this means for non-coders, and why skills-based workflows may be a turning point for AI-assisted work.The discussion then shifts to OpenAI’s latest move into healthcare with ChatGPT Health, a dedicated health and wellness space inside ChatGPT. We talk about privacy, regulation, European availability, and why healthcare has quietly become one of the most common AI use cases globally.Finally, we dive into a growing but often invisible risk: prompt injection. From hidden Unicode characters to AI agents with read-write access, we discuss why governance, guardrails, and human-in-the-loop design are now non-negotiable, especially in enterprise and financial environments.A practical, forward-looking episode on where AI tools are heading, how fast things are moving, and what organizations need to get right before scaling.

As 2025 comes to a close, we take a step back and look at what actually changed in AI this year, and what still hasn’t.In this final episode of the year, we discuss OpenAI’s GPT-5.2 release, the new 1.5 image model now built into ChatGPT, and what these developments reveal about the current state of AI adoption.We explore:Why most AI agents today still sit at the personal productivity levelThe spectrum of AI agents, from copilots to enterprise-grade platformsWhat GPT-5.2’s thinking capabilities change in practiceHow the new 1.5 image model compares to tools like Gemini Nano BananaGDP-VAL and why it’s a more meaningful way to measure AI valueHallucinations, reliability, and why enterprise automation plays by different rulesKey insights from OpenAI’s State of Enterprise AI reportThis episode wraps up the Agent Workforce Podcast for 2025 and sets the stage for what’s coming next, from agentic architectures to real, process-level transformation.🎙️ Hosted byKristiina Åberg, Marketing Lead at Digital WorkforceNiko Lehtonen, AI Solution Architect at Digital WorkforceThanks for listening, and happy holidays. We’ll be back in 2026.

In this episode, we share our first impressions of Antigravity, Google’s new coding agent, and look at the latest AI releases from Google, Microsoft, and Anthropic. We also talk through Nano Banana Pro’s image capabilities, highlight DeepMind’s new documentary The Thinking Game, and reflect on how far everyday AI use has come since 2022.Enjoy the show! 🎸

In this episode, Kristiina and Niko dive into a full week of AI updates.They share first impressions of GPT 5.1, explore what Agent Builder can really do in a customer project, look at McKinsey’s latest findings on enterprise AI adoption, and unpack the security incident where a state actor used AI to run a large-scale cyber-espionage campaign.Fast, sharp, and packed with takeaways. 🤩

In this special episode, Kristiina and Niko sit down with Antti Parviainen, Senior AI Agent Developer at Digital Workforce, to explore what it’s really like to build AI agents, from the daily coding tools and frameworks to evaluation pipelines and customer use cases.They discuss how Antti and the AI team are developing the Agent Workforce solution for insurance claims automation and how rapidly evolving models like GPT-5 and Claude Sonnet 4.5 are changing what’s possible in AI-driven development.Plus:📊 Wharton 2025 Enterprise GenAI Study🧠 OpenAI’s “AI Research Intern” plans for 2026–2028🧩 Microsoft’s Magentic Marketplace for agentic benchmarking💻 Claude Code vs Cursor IDE – developer’s view🔍 Evals and LangQuis for testing AI reasoning⚙️ Building the Agent Workforce multi-agent framework🔔 Subscribe for weekly discussions on AI, automation, and the future of intelligent work.

In this episode, Kristiina and Niko discuss OpenAI’s new Atlas browser, early impressions of Agent Builder, insights from Andrej Karpathy’s “We’re summoning ghosts, not building animals”, and highlights from DWF’s internal Hack Day.Plus, thoughts on Google Pomelli, Waymo in London, and an update on agentacademy.ai. ✨Happy listening!

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

In Episode 18 of the Agent Workforce Podcast, Kristiina and Niko dive into three big themes shaping the AI landscape today.They begin with stories from recent events in Atlanta and Poland, including how enterprises are building AI agents, insights from partner updates like Blue Prism’s new AI Gateway, and reflections from Digital Workforce’s 10-year anniversary.The discussion then shifts to new research on global ChatGPT usage — who’s using it, what for, and how patterns are changing across demographics.Finally, they explore how management teams approach AI in their strategy work, highlighting the role of leadership attitudes, collaboration, and the reputational fears that still hold some executives back.Happy listening! 🎧

In this episode, we break down the latest moves in GenAI that are reshaping not just the tools we use, but how we work.🎨 Google’s Nano Banana, a new Gemini-powered image model, may signal the end of traditional editing tools like Photoshop.🤖 Microsoft unveils its own AI models (MAI), with plans to integrate them into Copilot, potentially redefining its future beyond OpenAI.📱 Plus, we look at Andreessen Horowitz’s Top 50 GenAI Products, where consumer usage is driving the AI app landscape.📉 And we dig into Stanford’s study on GenAI’s real-world labor market impact, with data showing sharp job shifts in software development and customer service.📊 Finally, we share AgentAcademy discovery insights: where are people actually finding GenAI learning today? (Spoiler: ChatGPT is now a top discovery channel.)Happy listening! 🎧

In this episode, we explore the evolution of prompting in GPT-5, highlight some fresh insights on enterprise AI adoption, and walk through real agentic examples from UiPath’s Agentic Hackathon.We also give a quick update on the free Understanding Agentic AI course at agentacademy.ai, which has now reached over 3,200 learners! 🥳Happy listening!

We’re back! In this first episode of Season 2 of the Agent Workforce Podcast, Kristiina Åberg and Niko Lehtonen discuss the latest AI model launches, enterprise updates, and trends shaping the agentic AI space.💬 Topics include:– GPT-5’s release, user reactions, and model selection– Google’s Genie 3 and the rise of real-time 3D world models– Microsoft’s new study on jobs impacted by GenAI– Jagged intelligence & the limits of current LLMs– Real-world enterprise adoption via UiPath certification & discovery workshops– A quick look at the latest Digital Workforce webinar on Agentic AI in insurance🎧  Whether you’re returning for more or just tuning in — welcome! Season 2 is full of new ideas, guests, and episodes ahead.

In the season finale of the Agent Workforce Podcast, Kristiina and Niko take a step back and connect the dots: from Amazon’s 1,000 GenAI projects to the growing orchestration trend, from new AI job titles to the impact of vertical agents like OpenEvidence and Harvey.You’ll hear about:What companies like Amazon, Zapier and Duolingo now expect from their teamsWhy orchestration is the “unsung hero” behind scalable AI agent systemsA sneak peek into what might be coming with GPT-5The agent iceberg, model context protocol, and what still separates a demo from real deploymentPlus, a summer read, a little humor, and a big thank-you to all our listeners.🔗 agentacademy.ai🔗 agent-workforce.com🎧 Happy listening and see you again after the summer with Season 2!

In this episode of the Agent Workforce Podcast, Kristiina and Niko reunite to discuss the latest in LLM trends, model chaos, and real-world AI adoption. From Karpathy’s Y Combinator summer school talk to what’s actually inside a system prompt, we cover a lot of ground — including energy use, pricing shifts, and the surprising rise of OpenEvidence as the go-to tool for U.S. physicians.Plus: insights into Sam Altman’s comments on AI resource use, GPT-4 pricing shifts, and why evals are actually the unsung heroes of scalable AI solutions.🔍 Topics include:Karpathy’s Y Combinator summer school talk: “software is changing again”The evolving GUI of LLMs & user autonomyHow much energy ChatGPT really usesOpenEvidence is becoming the “search bar” for U.S. doctors03 model price drops and selection confusionPrompting at different levels (system, user, custom GPTs)How Agent Workforce agents are built under the hoodThe role of evals in building trustworthy agentsA quick summer sign-off and a shoutout to ⁠agentacademy.ai⁠

In this episode of the Agent Workforce Podcast, Kristiina Åberg and Niko Lehtonen break down the latest wave of AI developments and share lessons from building agentic systems in the enterprise.We start with the release of Claude 4 Opus and AI Safety Level 3 (ASL-3) protections from Anthropic and why these new features (and their “snitching” behavior!) have the AI world buzzing.Next, we unpack key trends from Mary Meeker’s 2025 AI Trends Report, including what’s really driving adoption, how fast industries are evolving, and where the biggest opportunities (and risks) lie.Finally, Niko shares key takeaways from Digital Workforce’s latest webinar: From LLMs to Agentic Systems — What’s the Difference and Why It Matters. He explains how agentic systems are designed to go beyond basic LLM prompts, what role parameters and orchestration layers play, and how these systems are being used today, including a real example of an agentic loan processing workflow.Happy listening! 🎧

In this episode of the Agent Workforce Podcast, Kristiina Åberg is back in the host chair alongside co-host Niko Lehtonen, AI Solutions Architect at Digital Workforce. The discussion explores how generative AI is shaking up everything from education to e-commerce, alongside the biggest updates from Google I/O and Microsoft Build.Kicking things off with a look at how students are now using AI as a full-blown operating system, from writing essays to completing entire courses, the episode raises questions about what it means to actually learn in the age of GenAI.We cover the latest announcements from Google and Microsoft:Google’s VO3 and Image 4 for ultra-realistic video and image creationThe launch of Gemini 2.5 Pro Deep Think and the $249/month Ultra planAI Overviews replacing traditional Google search resultsMicrosoft Build insights, including updates to Copilot Studio and new AI agent toolingWrapping up with a preview of the upcoming webinar “From LLMs to AI Agents – What’s the Difference and Why It Matters.”Happy listening! 🎧

In this special episode of the Agent Workforce Podcast, it’s “only boys in town” as Niko is joined by Karli Kalpala, Head of Strategic Transformation & Financial Services at Digital Workforce. Together, they discuss vertical AI agents — what they are, why they matter, and how they’re changing the way work gets done.Karli introduces DWF's new Agent Workforce Agents for medical insurance claims processing and explains why outcome-based automation is the next leap beyond productivity tools.We also cover big news from Microsoft on agent-to-agent protocols, OpenAI’s GitHub integration, and the rise of scalable, specialized agents that work together like a real digital team.🎧 If you’re curious about the future of work, scalable AI, and what’s happening inside real-world enterprise use cases, this one’s packed with insight. Happy listening! 😊

In this special episode, we’re joined by Rami Luisto, AI Researcher at Digital Workforce, for a sharp and insightful conversation on the evolving world of large language models and agentic systems.Together with Kristiina Åberg and Niko Lehtonen, we cover:✅ OpenAI’s shift to a public benefit company✅ Why GPT-4.0 suddenly became sycophantic, and what that tells us✅ How enterprise teams manage LLM versioning and avoid surprises✅ Key takeaways from recent LLM research, including “ChatGPT is Bullshit”✅ What truly separates LLMs from agents in practice✅ A behind-the-scenes look at using LLMs to automate complex document processing in healthcareRami also explains why good enterprise AI should be “boring”, stable, predictable, and built with testing in mind.🔗 Don’t forget: this episode sets the stage for our upcoming webinar “From LLMs to AI Agents: What’s the Difference and Why It Matters” on June 3. Details on our LinkedIn channel @digitalworkforceserivces

In this episode of the Agent Workforce Podcast, Kristiina and Niko talk about what it means to go AI-first.They explore Duolingo’s bold shift toward becoming an AI-first company, discuss how the London insurance market is adopting AI, and unpack key findings from Microsoft’s 2025 Work Trend Index.You’ll also hear about OpenAI’s latest updates, new ChatGPT search capabilities, and UiPath’s move into Agentic AI with their latest product suite.🎧 Happy listening! Don't forget to follow our journey on LinkedIn and Instagram @ Digital Workforce.

In this episode of the Agent Workforce Podcast, Kristiina and Niko talk about how AI is rewriting the rules of work.They unpack Shopify CEO’s "leaked" memo that positions AI skills as a baseline for hiring and performance, explore OpenAI’s latest updates, including new models and memory features, and break down the highlights from Google’s Cloud Next conference.The conversation also takes a closer look at Notebook LM, Google’s new AI tool that could transform research and learning workflows.Plus, Kristiina and Niko share insights on upcoming AI events and how companies are preparing for the next wave of agentic AI.🎧 Whether you’re working with AI today or preparing for tomorrow, this episode is for you.

In this episode of the Agent Workforce Podcast, Kristiina and Niko unpack what’s next for AI in healthcare and beyond. Fresh from a healthcare-focused hackathon, Niko shares real-world insights into how AI and automation are applied to care planning and integration challenges.We dive into the current state of RPA and the rise of agentic AI, explore the role of MCP in simplifying agent development and highlight the latest advancements in AI — including OpenAI’s new image generation capabilities and what they mean for creative workflows.Whether you’re deep in the AI space or just curious about how it’s reshaping industries like healthcare, this episode is for you!Happy listening! 🎧

In this episode of the Agent Workforce Podcast, Kristiina and Niko explore the rise of vibe coding and the impact of AI on software development. AI-powered tools make coding more accessible than ever, allowing non-technical users to build software through AI-generated code. As AI advances, what does this mean for developers, startups, and the broader tech landscape?We dive into the rapid growth of AI-native companies, the latest updates from Google, and how tools like Cursor change how we write code. Plus, we discuss the evolving role of software engineers and the importance of testing AI models effectively.Happy listening! 🎧

In this episode of the Agent Workforce Podcast, Kristiina Åberg (CMO, Digital Workforce) and Niko Lehtonen (AI Solution Architect, Digital Workforce) discuss the latest developments in AI agents, focusing on Manus – a new general AI agent designed to handle complex tasks by leveraging existing tools.They also discuss:🔹 Updates in AI models, including ChatGPT 4.5 and its improvements.🔹 Distillation in AI – What it means and why it matters.🔹 Agentic orchestration – How AI agents can coordinate multiple tasks.🔹 The rapid evolution of voice AI and its impact on business automation.🔹 Ethical considerations in AI development and usage.AI is moving fast – are you keeping up? 🎧Check out www.agentacademy.ai for more!

In this episode of the Agent Workforce Podcast, Kristiina and Niko share their thoughts on the rise of Vertical AI Agents and discuss the challenges and possibilities of prompting large language models (LLMs).From exploring how Vertical AI Agents are transforming specific industries like legal tech, to sharing their own experiences with prompting, this episode offers a candid look at the evolving world of AI.Tune in for an insightful conversation about the latest trends in AI, prompting techniques, and what the future might hold.

In this episode of the Agent Workforce Podcast, Kristiina and Niko explore how AI technologies are reshaping the job market and what it means for the future of work.They discuss the evolving roles of AI agents, the integration of AI in various industries, and the growing importance of collaboration between humans and AI. The conversation also highlights the transformative potential of data interaction powered by large language models (LLMs).💡 Key Takeaways: How AI agents are expected to take over junior and mid-level roles The importance of use cases for effective AI implementation Why collaboration between humans and AI is key to success The shift from rule-based RPA to goal-based AI solutions How AI is reshaping job roles and requiring new skills and adaptability Follow the Agent Workforce Podcast for more insights! Check out ⁠agentacademy.ai⁠ for more!

The Agent Workforce Podcast explores how Enterprise AI Agents are transforming business automation. Join hosts Kristiina (Head of Marketing, Digital Workforce) and Niko (Automation Expert) as they break down key trends, strategies, and real-world applications of AI-powered automation. 🎯 What you’ll learn:🔹 What Enterprise AI Agents are and why they matter🔹 How AI agents are reshaping industries🔹 The evolution from RPA to LLM-powered, goal-based AI agents🔹 The differences between AI assistants, co-pilots, and autonomous agents🔹 Key dimensions of AI agents: autonomy, domain specificity, and scalability🔹 How AI is shifting models from SaaS to Service-as-Software🔹 The potential impact of AI agents on business models and workforce dynamics Tune in for expert insights, practical examples, and thought-provoking discussions about the future of AI in business. 🎧Check out agentacademy.ai for more!