AI Chief of Staff and Data Readiness: Two Practical Tools for Builders
Published on 04.04.2026
Two things I built for you this week
TLDR: Kamil from AI Adopters Club releases a $99 data readiness assessment (free for subscribers) that scores your organization across five dimensions and estimates the annual cost of data gaps. He also announces a hands-on workshop for his open-source "Claudia" AI chief of staff tool on April 11th.
Summary: There's a recurring problem in organizations trying to adopt AI: the infrastructure isn't ready. Data lives scattered across a dozen SaaS tools, decisions are still driven by gut feel, and no one can put a dollar figure on what that costs. Kamil has been circling this problem for a while, and this week he stopped writing about it and started shipping something instead.
The Data Readiness Assessment is a 19-question diagnostic that takes roughly seven minutes to complete. It evaluates your organization across five dimensions: fragmentation, manual burden, data trust, AI readiness, and decision velocity. What makes it genuinely useful is what comes out the other end — you get an estimated annual cost of your data gaps, calculated from real salary benchmarks and infrastructure pricing data across enterprise platforms. There's also a consolidation roadmap tailored to your industry and tool stack, with a concrete first step rather than vague recommendations. For a subscriber, it's free. For everyone else, it's ninety-nine dollars.
The second thing Kamil is shipping this week is a workshop for Claudia, his open-source AI chief of staff that lives on GitHub. The problem he identified is that most people who try to install Claudia get stuck somewhere in the setup process. The workshop on April 11th, limited to ten spots, walks participants through installation, connecting email and calendar, and getting the morning brief running before the first coffee of the day. Participants also get access to a WhatsApp group of others building with the tool.
Claudia is designed for a specific kind of professional: consultants, founders, executives, and solopreneurs who are managing relationships and commitments across dozens of simultaneous conversations. The value proposition is offloading the overhead of tracking context so you can focus on the actual work. It's a narrow enough problem statement that it has a real shot at being genuinely useful, rather than another AI wrapper that solves nothing specific.
Key takeaways:
- The data readiness assessment is free for subscribers and benchmarks your organization against five dimensions including AI readiness and decision velocity
- The estimated annual cost of data gaps comes from verified data: over 600 enterprise purchases, analyst salary benchmarks, and infrastructure pricing from major platforms
- The Claudia workshop on April 11th is limited to 10 spots and costs $75 — it pairs with a GitHub-available open-source AI chief of staff
Why do I care: Most AI adoption conversations stay at the level of "pick a model and plug it in." The data readiness framing is more honest — you can't get much out of AI if your data is a mess. The assessment format is smart because it gives non-technical stakeholders a number they can bring to a budget meeting. The Claudia workshop is a different beast: it's targeting the infrastructure-of-one problem, which is where a lot of independent operators and consultants actually live. Worth watching to see whether the open-source version gets real community traction.