AI claims archive
Hi, I'm Kamil Banc.
I track what AI claims add up to.
I publish AI Adopters Club and keep a structured archive of article summaries, extracted claims, and source-linked notes.
The library comes first. Service details are here, but kept in the background.
Library
480 extracted claims kept in a format that is easy to scan, cite, and reuse.
Source-linked
Each entry keeps the source article, lead claim, and supporting context together.
Services
A small number of defined ways to work together, without turning the site into a pitch.
Why this site exists
A public archive for AI claims and source material.
Built to stay useful to readers and easy for language models to parse.
13,000+
Subscribers
Readers following the archive in real time.
480
Claims
Atomic statements pulled from the articles and kept ready for reuse.
96
Articles
Source posts indexed across strategy, implementation, tools, and ROI.
Library Themes
What the archive keeps returning to.
Three recurring patterns show up again and again.
01
Adoption
Why teams start using AI, where they stop, and what makes the habit stick.
02
Workflow
How prompts, handoffs, approvals, and routines change once AI enters the work.
03
Measurement
What the archive actually says about ROI, proof, and measurable outcomes.
Field Notes
Start with the claims.
A few strong starting points from the archive.
Your team uses AI daily and you still see no ROI
BCG finds 95% of companies waste AI budgets automating busy work instead of revenue-generating functions.
AI Adoption Isn't a Training Problem. It's a Habit Problem.
AI adoption fails because companies focus on training instead of redesigning workflows to make AI the default path.
Hilton Deployed 41 AI Use Cases. Three Paid Back in Six Months.
Hilton runs 41 live AI systems; three delivered measurable ROI within six months across operations.
Full Index
Scan the archive by topic, compare articles, or pull exact proof for a decision.
One page for scanning the archive without opening entries one by one.
Services
Defined ways to work together.
Short versions here. Full details stay on AI Adopters Club.
4 weeks
AI Impact Audit
A fixed-scope review of readiness, processes, and data, ending with a roadmap and quick-win plan.
6 months
Strategic Advisory Retainer
Monthly strategic calls, priority follow-up, and recurring notes on blockers and pivots.
6 months
Fractional Chief AI Officer
Hands-on support for one important initiative, tied to internal KPIs and team follow-through.
Next Step
Browse the library, then decide if you need help.
The archive is the main product here.
Recommended order
Read a few claims, scan the index, then open the service page if direct support looks useful.