2 Months Post-Acquisition: Claude Co-Work Is Becoming Our Operating System

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March 27, 2026

by a searcher from IESE Business School in Dublin, Ireland

I recently closed on the acquisition of a business after roughly 15 months of self-funded search, and probably another 9 months of prep before that. So all-in, it was about a two-year journey. The business is a B2B distributor of POS systems, self-checkout machines, warehouse scanners, and related peripherals. We’re based in Ireland, with a team of eight. It is not a software business. There is very little true recurring revenue. That said, one thing I like about this hardware category is that replacement cycles are reasonably regular. Depending on the product, equipment tends to get replaced every 3 to 10 years, with 5 years being a decent rule of thumb. A lot of hardware was installed during Covid, and much of that is now coming up for replacement. There is also some maintenance and service revenue in the mix. What I want to share here, though, is not really the deal mechanics. The more interesting part, at least to me, is how I am operating the business two months in. We have now rolled out Claude CoWork across the whole company. Everyone is on Pro, and I am on Max. I do not say this lightly: it has been astounding. It is one of the most useful tools I have ever seen for a small business. Our setup is fairly simple. All files now sit in shared folders on SharePoint. A large part of our business is supplier-driven, with lots of technical specs, pricing documents, presentations, and product information. So, for example, we have a main folder for supplier brands, and then each supplier has its own structured folder underneath that. Every meeting is transcribed. Claude handles the meeting minutes. Technical information, pricing, presentations, and notes all build into a growing knowledge base. The way I see it, during the six-month handover from the previous owner, I am effectively capturing the business into the system. Every supplier conversation, customer meeting, internal review, and operational discussion is being transcribed and organized. The AI is learning the business as we go. It still takes me about a day to create a really good agent, although I am getting faster. I now have four that I am genuinely happy with. One is a supplier manager. It helps review new products, prepare for supplier meetings, summarize notes, and organize follow-ups. One is a sales manager. It works across customer folders, meeting transcripts, actions, and account management. One is effectively a CFO. We are a small company, so we do not have a full finance function in-house. We have someone who handles accounts and we use external accountants, so I built a CFO agent instead. I have prompted it to be completely cash flow oriented, heavily influenced by The Outsiders by William Thorndike. So it thinks like a capital allocator, not a traditional finance person. That CFO agent now handles our weekly inventory review. I can dump in very raw data, including a 75-page PDF of every stock item we hold, and it matches that against sales history, pipeline information, and other context. It then produces our weekly review agenda in advance. The meeting gets recorded, actions are captured, and a one-page summary goes back out to the team. Then it repeats the following week. Some of these reports are now effectively automated. The team knows that certain raw data needs to be dropped into the relevant SharePoint folder on a Thursday, and the review pack is there on Friday morning. I know there is a lot of noise around AI, but in a small acquired business like this, I think it can genuinely become part of the operating system. Not for flashy automation, and not for replacing people, but for building institutional memory, increasing speed, and improving management cadence. Happy to share more with anyone interested, particularly around how we are setting this up inside a small owner-operated business. And if you are interested, I would appreciate a follow for me and the company on linked in, that would be very helpful. Based on all the feedback, I created the attached guide which you might find useful, let me know what you think: https://sbrowne-claude-for-small-business.netlify.app/
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commentor profile
Reply by a searcher
from University of Virginia in Hong Kong
Great sharing, ^redacted‌! Thank you. Delighted to be part of this community. I have been reflecting and exploring a bit lately on the idea of a single person Unicorn, at least in theory and long-term pursuit. Would you be willing to get on a call and do a demo / more elaborate sharing? I would be happy to setup a Zoom call early morning USA / mid-day Ireland / evening Asia if others want to join. Seems ^redacted‌ and maybe others have relevant valuable experience too.
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Reply by a professional
from Liberty University in New Smyrna Beach, FL, USA
Good stuff! Sounds like you have made massive progress in just a few months, Stephen. For some of the uninitiated, a quick primer on a couple of items he mentions here: 1. Claude "CoWork" is a middle ground between Claude's chatbot, which only works in a single conversation, and Claude "Code" which is often used by engineers to create agents, integrations, and full apps. CoWork is great if you are tech-savvy enough but not a coder! 2. Dumping files and other context for an AI agent into a repository like this, and then instructing the agent to answer from those files (rather than its general knowledge base) is called Retrieval Augmented Generation ("RAG"). RAG is a must-know strategy for anyone hoping their AI gains go beyond single-player (personally using ChatGPT or Claude) to enable a full team to work with the same system. 3. It's possible to go even further with the multi-player AI strategy. You can give your AI agent(s) a name, email address, phone number, and a bit of a personality, to make it as easy for employees to work with it as possible. I recommend NOT choosing a human name, because it's both confusing and threatening. 4. Some businesses might not want to use Claude / CoWork / Code as the "interface". Besides the email address and such I mentioned, it's easier than even to also create a web interface your team can log into and have a custom dash where they can see not only their body of work, but also see a log of what the AI agents are up to. It helps people feel centered. - Human-centered AI Fan & Builder
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