Agents at Work
A practical guide to AI agents for the people who run companies. What they are, where they fit, what they cost, and how to start without betting the farm. Written in plain business language, not code.
- 01
What an agent actually is
What an AI agent actually is, explained for executives. Not a chatbot, closer to a junior hire that works at machine speed. No jargon, no hype.
8 min read - 02
What agents can and cannot do today
An honest map of what AI agents do well today, where they fail, and a three-bucket rule for sorting any task in your company in ten seconds.
8 min read - 03
What this means for a company like yours
AI agents are a cost-structure question, not an IT question. What changes in a 120-person Nordic company, and a live demo that analyzes yours.
8 min read - 04
Where agents fit: a tour of your own org chart
A function-by-function tour of where agents fit in a mid-market org chart, with concrete roles in finance, HR, customer service, sales, and operations.
9 min read - 05
What it costs and what it returns
What AI agents cost to build, run, and supervise, what they return in hours and kronor, and what the ROI math hides. CFO-grade numbers, no hype.
8 min read - 06
Risks, security, and the rules
The four real risks of AI agents, the controls you already run, and what GDPR and the EU AI Act actually require of a mid-market company.
9 min read - 07
Your people and the new org chart
What AI agents mean for your employees. The owner role, what to tell the company before the first pilot, and how to lead the change without fear.
8 min read - 08
How to start without betting the farm
The safe first move with AI agents. Four pilot criteria, a charter with a kill criterion, build versus buy, and five questions for any provider.
8 min read - 09
The 90-day path
What to do Monday morning, the 30, 60, and 90 day checkpoints, and the decision meeting at the end. The whole guide compressed into one executable plan.
7 min read
What an agent actually is · 8 min read