Season 4 - Episode 24: From automation to AI — what actually changes at work?
- Kristine Lium
- 3 hours ago
- 3 min read
AI didn’t arrive at work through a big announcement.
For many organizations, it simply appeared — quietly embedded in the tools people already use.
Icons showed up. Features activated. Expectations shifted.
But understanding, routines, and leadership often didn’t follow at the same pace. And that’s where many organizations are today: not resisting AI, but trying to make sense of it after the fact.
Key topics
Clarity on the difference between automation and AI — and why both matter
Insight into why AI adoption often creates friction
A grounded view on leadership, experimentation, and learning in the AI era
A practical lens on turning organized data into decisions and value
“AI didn’t arrive through a big decision — it arrived by default. What we do next is a leadership choice.”
Episode 24: What makes an idea worth betting on?
– With Kathrine Hogseth, CEO at CRM-Konsulterna
This weeks episode
AI is increasingly showing up at work without a big decision behind it — tools appear, features activate, and suddenly expectations shift. But understanding, routines, and leadership often lag behind.
One of the most important distinctions we explored in this episode is the difference between automation and AI — and why both matter.
Automation gives organizations structure. It helps streamline repeating processes, reduce variation, and deliver predictable outcomes. In many ways, it’s the foundation that modern work is built on.
AI builds on that foundation. Rather than replacing structure, it helps organizations make sense of it — turning organized data into insight, decisions, and value. When those two are confused, expectations often break. When they’re understood as complementary, trust grows.
Another recurring theme is time. AI is often introduced as an efficiency tool, but time on its own doesn’t create value. Someone still has to decide what that freed-up time is for — better decisions, better customer experiences, or new ways of working.
Ultimately, successful AI adoption turns out to be less about technology and more about leadership, learning, and culture. Organizations that move forward are those that treat AI as a shared learning process — experimenting, communicating, and adjusting as they go.
“Whether AI has quietly appeared in your workflows or you’re actively shaping how it’s used, this episode offers a grounded perspective on what comes next.”
🎧 Listen now on Spotify!
Host: Kristine Lium
About the guest
Name: Kathrine Hogseth
Title: CEO/Owner of CRM-Konsulterna/CRMK, a Microsoft consultancy specializing in Dynamics 365, Power Platform, and AI‑driven solutions
Background: Kathrine began her career in technical sales at Ericsson, before moving into CRM and ERP consulting at EVRY. Since 2014, she has been driving the growth of CRM-Konsulterna, working closely with organizations across industries to improve customer experience, workflows, and decision-making through technology.
Kathrine’s expertise sits at the intersection of CRM, automation, and AI adoption — with a strong focus on how organizations actually change the way they work. Her passion lies in building environments where people can thrive: cultures that encourage learning, experimentation, and shared responsibility. By grounding technology adoption in structure, leadership, and continuous learning, she helps organizations turn innovation into real, sustainable business value.
Contact: LinkedIn
👉 Listen to the full episode of Simply Briefed to explore how organizations can move from automation to AI — and what really changes at work
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