Two things I built for you this week
A data readiness assessment and the next Claudia workshop on April 11th
Hey Adopter,
This newsletter has always been about one thing. Giving you something you can use on Monday morning. Not theory. Not hype. Not another “state of AI” recap you skim and forget. You’re here because you want to move faster, spend less, and become the person in your company who actually gets AI working.
That’s what AI Adopters Club is. A place for people who build, test, and implement. And this week I’m putting that promise to work with two things I made specifically for you.
Last week’s article on the data lake landscape hit a nerve. Dozens of replies. People forwarding it to their CTOs. One reader sent it to their entire leadership team with the note “this is exactly what I’ve been trying to explain.” The message was loud: you’re stuck between enterprise platforms you can’t afford and spreadsheets held together with hope. Your data lives across 15 disconnected SaaS tools and nobody can get a straight answer about the business.
So instead of writing another article about it, I built you something.
Find out what your data gaps are actually costing you
The assessment costs $99. If you’re a subscriber, you have it for free. Search your inbox for “AIAC Assessment Code” and you’ll find your access code.
19 questions. About 7 minutes. You answer questions about your company, your data landscape, and your tools, and you get back:
A readiness score across five dimensions: fragmentation, manual burden, data trust, AI readiness, and decision velocity
A dollar estimate of what your data gaps are costing you annually, based on real salary benchmarks and infrastructure data from the research
A consolidation roadmap customised to your industry and tool stack, with a concrete first step
Industry-specific insights drawn from diagnostic work across 20+ organisations in healthcare, hospitality, education, financial services, and technology
This is not a generic quiz that tells you “you should adopt AI.” It’s grounded in the same research I shared last week. The cost estimates reference verified data: 633 enterprise purchases, analyst salary benchmarks, and infrastructure pricing across the major platforms.
If you’ve ever walked into a budget meeting and struggled to explain why your data infrastructure needs investment, this gives you the numbers to make your case.
What your results will look like
Estimated annual cost of data gaps: $100K–$250K
Biggest gap: data fragmentation (1.5/4.0)
Relative strength: AI readiness (2.5/4.0)
Phase: Audit and Connect, with your specific tools listed and a concrete next step
Seven minutes and you’ll know whether to fix foundations before investing in AI tools, or whether you’re closer to ready than you thought.
Get your own AI chief of staff running this Saturday
I’ve been building Claudia, my open-source AI chief of staff, for a while now. She’s on GitHub. Anyone can install her. And most people who try get stuck somewhere in the setup.
Introducing Claudia, Your Personal AI Chief of Staff. 🤖 - Watch Video
This workshop fixes that. Saturday, April 11th. 10 spots. $75.
By the end of the session, you’ll have:
Claudia installed and running on your machine
Your email and calendar connected
Your first morning brief delivered before you’ve finished your coffee
Access to a WhatsApp group of everyone who’s building with her
If you’re a consultant, founder, executive, or solopreneur juggling relationships, commitments, and context across dozens of conversations, Claudia takes the overhead off your plate. The last workshop sold out, so if you’re interested, don’t wait.
Reserve your spot: https://claudia.aiadopters.club/workshop
There’s a short video walkthrough showing what she does and what you’ll get out of the session.
Two things this week. One free for subscribers, one paid. Both built because this club is about giving you tools that work, not just words that sound good.
Adapt & Create,
Kamil