Insights
The criteria we use in assessments and builds, written down.
- AI adoptionNine places AI adoption stalls — and what to check firstAI adoption rarely stalls for lack of features. It stalls on logging, leaks, cost, trust and neglect. Here is how each of nine points is solved.Read
- Security & reviewGetting AI through internal security reviewReview boards move when there is a document that answers “may company data go to external AI?”. Six things to prepare and a self-check before review.Read
- Employee trainingMaking employee AI training carry into daily workTool tutorials don’t stick. What changes when each participant leaves with one of their own tasks running on AI.Read
- AI consultingHow AI consulting and build costs are set — three things to check before a quoteAI consulting and build costs depend on scope, the systems to integrate and the format of your data. Why quotes differ so much, and what you can get for free first.Read
- AI securityStaff using ChatGPT: what a company should block and what it should allowBan AI at work and staff use personal accounts. How to manage leaks, logging, cost and permissions through one gateway.Read
- Employee AI trainingChoosing an employee AI training provider — five things to check before approvalWhat matters in employee AI training is the week after. Hands-on share, real tasks, instructor ratio, follow-up and reporting — what to check before approval.Read
- AI agentsWorkflow automation and AI agents: which work to hand over firstStart AI agents where impact is high and difficulty low. How to pick the first task, with examples running today.Read