Fullstack HR

Hosted by Johannes Sundlo

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Aug 2026

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About the show

Fullstack HR is a podcast by HR professionals for HR professionals, hosted by Johannes Sundlo, an active HR manager shaping the future of work. We dive deep into the latest trends in HR, AI, and digital tools, offering insights from someone in the trenches daily. Whether you’re looking to future-proof your HR strategies or stay ahead of industry shifts, this podcast delivers actionable advice and expert perspectives to elevate your HR game. www.fullstackhr.io

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60 recent

August 27, 202621 min

The Chief People and Agent Officer with more agents than employees

Kantar has around 12,000 employees and around 15,000 agents. Andy Doyle is responsible for both, and he explains how they reached that scale in 18 months without an engineering army. In this episode: Why the CEO pushed for the title Chief People and Agent Officer, and what it changes in practice The bet behind giving all 12,000 people Copilot in three months, from 300 pilot licenses to everybody Change influencers instead of change champions, and the control Andy gave up to make it work The agent that cut a monthly HR and finance reconciliation from a week to 10 minutes Kantar's target of resolving 95% of HR service queries without a human, and the three agents that guard the risk line The agent factory, run out of HR, with 70 citizen builders and none of them from the technology function Why the HR community has the highest AI usage of any function at Kantar With Andy Doyle, Chief People and Agent Officer at Kantar. Links mentioned: Andy Doyle on LinkedIn → https://www.linkedin.com/in/ajdoyle/

August 25, 20268 min

Still building the B-team

In May I argued that AI is a work tool, not a perk. Three months and a lot of client work later, the gap between the people who have it and the people who don't is not closing. It's growing, and most organizations are fuelling it without meaning to.In this episode:- Why well-intentioned license decisions end up splitting your workforce in two- The two cohorts living side by side in the same organization, one running fast with their own Claude and ChatGPT setups, one barely started- The mechanism behind it, licenses follow whoever is comfortable asking- Why one client is taking AI access to the union negotiating table, and why I think they're right- Equal opportunity has to include the tools, not just the loud and vocal- The real missing piece, nobody has defined why AI matters for this organization- Why leaders can't be strategic about AI without being practical with it firstLinks mentioned:- AI Is a Work Tool, Not a Perk → https://www.fullstackhr.io/p/ai-is-a-work-tool-not-a-perk Subscribe to the FullStack HR newsletter → https://fullstackhr.io

August 20, 202627 min

AI Transformation in HR: Redesigning Work Without Losing Human Judgement with Joe Shahmoradian

First episode of the new interview series with people who do stuff with AI, not people who talk about AI. Joe Shahmoradian runs talent acquisition for EMEA at Morningstar, and everything in this episode is running in his team today. In this episode: How his team cut post-call admin by 75% with AI transcription on screening calls, and why the first tool got killed Amira, the AI teammate that works like a journalist and turned five-day market intelligence reports into 90-minute video briefings The AI clone Joe built before paternity leave, and what it did when he prompted it maliciously at 1 AM Morningstar's playbook for adoption at scale, an AI Academy, a champions community that grew from 5 to nearly 200, and an idea hub with real ownership What Joe would do in his first 90 days at a company starting from zero, and why governance comes before agents Why the workforce of the future is humans and agents as teammates, and why the discourse needs more boldness With Joe Shahmoradian, Director of Talent Acquisition EMEA at Morningstar. Links mentioned: Joe Shahmoradian on LinkedIn → https://www.linkedin.com/in/joeshahmoradian/ FullStack HR newsletter → https://fullstackhr.io

August 18, 20267 min

Slop is slop

Subscribe to the FullStack HR newsletter → https://fullstackhr.io Claude started watermarking every text it writes. Substack scores your posts for AI. Recorded from the car after two weeks off, this episode is about why both miss the point. In this episode: What Anthropic's new invisible watermark does, and what it can't do How Substack's Pangram scan works, and why it's easy to circumvent Why the human-versus-AI framing is the wrong test The pieces I let AI write on its own, and why they tanked The pieces I wrote alone that got the exact same feedback My workflow, dictate in the car, let Claude turn it into an article Why turning off the AI scan reads as shame, and what to do instead Links mentioned: How Claude's text watermarking works → https://www.anthropic.com/news/claude-text-watermark How can I detect AI on Substack → https://support.substack.com/hc/en-us/articles/50891130623508-How-can-I-detect-AI-on-Substack Pangram → https://www.pangram.com

June 30, 202610 min

"You may only use Copilot."

Subscribe to the FullStack HR newsletter → https://fullstackhr.io A week at Almedalen made one thing obvious. Most leaders shaping how Sweden thinks about AI have only ever touched Copilot or the free ChatGPT, and that single reference point is quietly capping what entire organizations believe AI can do. In this episode: Why almost nobody picks their own model, and how a Microsoft license becomes an AI strategy by accident The screwdriver vs power drill problem. Copilot solves the job, but it sets your expectations far too low How a single default tool shrinks the whole organization's sense of what AI is capable of The shadow IT trap, where your best people quietly run Claude or ChatGPT on the side and you lose both security and their hard-won knowledge Why limiting people to one tool becomes an employer branding problem over time What the real frontrunners do instead. Securing Copilot, ChatGPT, Claude, and Gemini and letting people choose The blunt take on IT departments that claim multi-model access is not doable on security grounds

June 11, 202613 min

Claude Fable 5 is here. The models are ready, your organization isn't

Anthropic just dropped Claude Fable 5, and I've run it through the same test suite he's used on every major model for 2.5 years. The verdict is clear, but the bigger lesson isn't about the model at all. In this episode:- Why Fable 5 feels like the most human-like model yet, and how it gives honest, direct feedback instead of patting you on the back- The worker scheduling test (30 people, legal requirements, hard constraints) and how Fable 5 handled it- A real client case where Fable 5 reworked a Copilot Studio workshop deck and improved the flow- The Mythos connection, the security guardrails, and why hacking headlines might be part PR- The pricing cliff on June 22. $10 per input token, $50 per output token, and Johannes's plan to pair Opus 4.8 for creation with Fable 5 for evaluation- The real bottleneck. Models are capable, organizations are not, and why experimentation time is the thing HR must fight for- McKinsey's warning that HR risks becoming a sub-department of IT if it doesn't take the driver's seat now Links mentioned:- McKinsey HR Monitor 2026 → https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/hr-monitor

June 10, 20267 min

AI Shame and Why You Can't Skip the Grunt Work

Subscribe to the FullStack HR newsletter → https://fullstackhr.io Organizations keep telling Johannes Sundlo, the host here, "we've got the basics covered, skip ahead." Then he asks them to show how they use AI, and gets blank stares. This episode is about AI shame, where it comes from, and the one step you can't skip. In this episode: AI shame, what it looks like and why it's more common in 2026 than 2025 The pattern behind it. Buyers say "we're proficient, go straight to processes," but the proficiency is a sliver of what the models can do Why this shows up most in leadership teams, and why leaders who skip the grunt work can't set credible AI expectations for their organization The missing step. You can't jump to agentic processes before you've done the unglamorous work of learning what the model can do Educate everyone, including truck drivers without computers, because employees are already getting AI advice on salary and managers in their spare time Why being practical beats strategic-only thinking in AI adoption right now Lessons from roughly 110 workshops this winter and spring, and why Johannes is scaling that down

June 6, 20265 min

Connect HR to Claude & ChatGPT with MCP (Easier Than You Think)

Subscribe to the FullStack HR newsletter Yes, you can connect your HR system, ATS, or engagement tool to Claude and ChatGPT. In this episode Johannes Sundlo walks through the exact steps to add an MCP server to both tools, using a safe read-only demo. In this episode: What an MCP server unlocks for your AI, explained simply Adding a pre-made connector in Claude Adding a custom MCP server in Claude with a URL Why you should start with read-only access Enabling Developer mode and creating an app in ChatGPT Connecting and testing the server in ChatGPT Authentication, security, and why to bring IT in early New to MCP? Start with the written primer that explains connectors and MCP from scratch: https://www.fullstackhr.io/p/connectors-and-mcp-explained-for Links mentioned: MCP and connectors explainer → https://www.fullstackhr.io/p/connectors-and-mcp-explained-for

June 2, 202612 min

Is AI adoption now a bigger edge than the model itself?

Subscribe to the FullStack HR newsletter → https://fullstackhr.io OpenAI just ran an event called Intelligence at Work, and the releases say a lot about where the world of work is going. Here is what dropped and why it matters for anyone leading AI adoption. In this episode: Why the bottleneck has shifted from model intelligence to a company's ability to absorb the tech The stat to sit with: 74% of AI's economic value is captured by 20% of companies Codex moving into ChatGPT, and what that means if you are on ChatGPT Enterprise Six role-specific agent plugins, including a data analytics agent that writes queries, builds charts, and produces a deck Annotations: editing one piece of an output instead of regenerating the whole thing, and whether it solves the "last mile" problem Sites: turning Codex outputs into shareable, live dashboards and internal apps (Lovable meets Artifacts) Why OpenAI keeps framing adoption as a human transformation, not an IT project Sam Altman on the next phase: proactive agents that fix things in the background before you ask Links mentioned: OpenAI Intelligence at Work (the event) → https://openai.com/sv-SE/business/intelligence-at-work/

June 2, 20269 min

What does good performance look like in the age of AI?

Subscribe to the FullStack HR newsletter Performance reviews have looked the same since the 1950s, and they are still mostly task-based. AI breaks that. This episode asks what we should reward when the tasks get automated and the only thing left to value is human judgment.In this episode:- Why the task-based performance review is the wrong tool for the AI era- The judgment problem. If an agent does the work, how does an employee prove their value, and does the manager even see it- A real CHRO dilemma. Two standard performers became superstars with AI, two former high performers fell behind, and bonus season arrived- Rewarding the behavior of using AI versus rewarding valid, validated output- Why AI makes the manager's job harder, not easier- The hidden cost of a thumbs-up task that creates a ripple of rework downstream- Should we scrap the performance review, hand growth to AI plus manager, or build something new Links mentioned: - Nate B. Jones, Nate's Substack