I’m having a tough time finding clients. I think I need to niche down so I’m not just telling people that I teach business owners how to use AI. Instead I should say I teach business owners of plumbing companies or accounting firms or some other niche. But I don’t have specialized expertise in a particular niche. I’ve worked for 25 years with enterprise clients/fortune 500. And it’s really tough to tell what AI solutions are really selling to what customer. Any help is appreciated.

When offering AI consulting/advice/workshops to clients, what do you proposals and quotes look like, and what details are you providing? Pitching to a client today, I will probably end up giving a 1 day workshop then provide ongoing support/builds. I'm happy with the pitch deck but not sure what to put in the proposal once it lands. I can just do a basic quote in Xero but I feel like it should have more to it (yes I am also chatting about it with Fable).

We talk about folders all day, but the folders are FOR something. I want to know what... 🎖️Bonus points: comment with the single most painful manual process in your industry. The best comp entries come from exactly those answers.

I'm assuming I'm not the only who's done this and please tell me if it's a bad idea, but I'm assuming we've all turned ICM structure into a Claude skill? If I've got a new project I run /init-max that I've built, and Claude generates folders and MD files based off questions it asks me. It's not allowed to assume answers unless I blatantly say I'm not sure. To build it I've just pointed Claude at module 3 in the foundations classroom and said "make this a skill". Has anyone done the same or is this a terrible idea?

I’m running into a massive bottleneck with corporate clients right now. Because they’re handling market-sensitive data, their IT compliance teams have them completely locked down into Microsoft. No external APIs, no Claude—nothing. Ideal world would be building solutions in CC. I’m convinced the only real solution here is building custom tools and agents natively inside their system (Azure OpenAI, Power Platform, Copilot Studio, etc.) rather than trying to pitch external pipelines they'll just reject anyway. Has anyone actually built robust, advanced agent workflows strictly inside an MS-only corporate environment? Curious to know how you handled the architectural constraints, and if it's worth the headache of building inside their sandbox. Let me know what you've found works.