Agents, adoption, enterprise systems, and what changes when AI enters real companies.
I committed to sharing something every day in March about our AI transformation at Pactum. The pace is high, not just internally but in the entire world, so there's a lot that happens and a lot to share. This is the week 1 recap, pulling together what I've learned across the posts, the meetings, and the
As our employees use Claude Code for various tasks, we keep seeing agents repeat the same work. Summarizing a customer's state across Salesforce, email, product analytics, usage data: every agent pulls together the same picture from scratch, every time. Martin Kosk, our enterprise architect, proposed a useful frame for thinking about this: core vs. edge. Edge is the
"Nobody gets fired for buying IBM" used to mean: pick the vendor nobody will question. It was a decision driven by fear, not conviction. I think Anthropic is becoming the equivalent for AI, but for a better reason. At Pactum, we didn't choose Anthropic through structured evaluation. We started with Gemini because we're on
I've seen people try Claude or ChatGPT, get mediocre answers, and conclude AI is overhyped. But the power of agents doing real work for every employee comes from the agent knowing your company, your team, your processes. If you use the vanilla version and expect it to be mind-blowing, you're testing the wrong thing. Exceptional
In part 1 I covered the straightforward agent use cases: copyediting, onboarding, expense reports, Jira management. Those are about doing existing tasks faster. The five below are different. They share a thread: the agent isn't replacing someone's work, it's gathering context I wouldn't have gathered on my own, so I can think
While we're in this mode of rapidly developing agent capabilities, I want to do my part in diffusing knowledge of what agents can do. Since Claude Code IS the software, I am using it more and more for everyday office work, and rapidly discovering new things that agents can (or cannot) do. My daily driver with those is
Mostly talking about AI, Pactum and selling to enterprises. It was recorded at the end of August, so some things are already likely stale! Find the podcast on Youtube or your favourite podcast app. Excerpts: I’m not very surprised or disappointed by GPT-5, and that’s because the trajectory is actually quite straightforward. The scaling laws tell us
I recently noticed that it's a bit clunky to talk about "users" of our agents. Building complex enterprise software, we have multiple types of users, from operations teams making daily decisions to executives looking at high level dashboards, and of course suppliers. But often none of these people can make important judgement calls, like "will
I have a 14,000-word document I maintain manually, to add into ChatGPT queries I make related to my role as CTO. It covers a lot of ground about Pactum: * An extremely basic description of who we are and what we do * Company strategy, long-term goals, financial model, and progress towards those * Our target market, ICP, personas, value
Here's a model I use to think about how AI will change work. Some parts of every activity will cost 1,000x less than they do when a human does it. For engineers it might mean reading and typing code, for radiologists reading X-ray images, etc. But it's not 100% of the time a human
