# AI+ Pro Blog ยท AI at Work, Security and Governance > Practical writing on running AI inside an organization: shadow AI, choosing between models, retrieval over your own files, governance and staff capability. Canonical: https://aiplus.pro/blog Blog ## Notes on working with AI Tips, trends, and deep-dives on AI, security, and the future of work. All Governance Models Security Practice Adoption [ Governance Governance Featured reading ## Shadow AI: your staff already pasted it into ChatGPT Blocking the tools does not remove the demand, it removes your visibility. What actually works is giving people the same models somewhere you can see. August 12, 2026 4 min read Read ](https://aiplus.pro/blog-posts/shadow-ai-at-work) Keep reading [ Models Models ### One prompt, six models: how to read the difference Running the same question across several models at once is not a benchmark. It is a way of seeing which disagreements matter and which are just style. August 5, 2026 4 min read ](https://aiplus.pro/blog-posts/comparing-model-outputs)[ Security Security ### What enterprise AI has to prove before it touches your documents Nine questions that separate a vendor with an answer from a vendor with a slide. Most have nothing to do with the model and everything to do with your files. July 29, 2026 4 min read ](https://aiplus.pro/blog-posts/enterprise-ai-checklist)[ Practice Practice ### Retrieval over your own files: what it fixes, and what it doesn't Pointing a model at your documents solves a narrow and valuable problem. Most disappointment with retrieval comes from expecting it to solve a different one. July 22, 2026 4 min read ](https://aiplus.pro/blog-posts/rag-over-your-own-files)[ Adoption Adoption ### Tools without curriculum don't stick Licences get bought, logins get issued, and usage plateaus in week three. The gap is rarely the tool itself, and a one-off workshop does not close it. July 15, 2026 4 min read ](https://aiplus.pro/blog-posts/ai-training-that-sticks)[ Governance Governance ### A governance checklist for rolling AI out to 500 people What to decide before the first licence is issued, what can safely wait, and the three decisions that prove expensive to change once people are working. July 8, 2026 3 min read ](https://aiplus.pro/blog-posts/ai-governance-rollout) ## What gets written here Posts come out of questions that arrive more than once, usually from someone already partway through a rollout and finding that the hard part was not the technology. They are written for the person who has to make the decision and then live with it, rather than for a feed. There is deliberately no news coverage here. A model released this week will have been superseded by the time it could matter to a policy you are still drafting, and there are faster places to read about it. What changes slowly is what is worth writing down: how a decision ages, where a rollout loses momentum, and which questions to ask a vendor before the documents are already in their system. ## The recurring threads Governance that survives contact with staff What to decide before the first licence is issued, what can safely wait until later, and which of those decisions turn out to be expensive to reverse once people are already working in the tool every day. Security and where documents end up What an enterprise AI vendor has to prove before it touches your files, how retrieval over your own documents actually behaves once you point it at a real archive, and what unsanctioned use is already telling you. Capability, not licences Why usage plateaus in week three, what separates training that sticks from a one-off workshop, and how to read the difference when several models answer the same prompt in different ways. Where this connects Most of what is argued here in a thousand words is taught properly in the course library, which is the difference between agreeing with a post and being able to act on it on a Monday morning. The FAQ covers the shorter questions, and the contact page reaches a person if yours is not there.