The four main assistants are close enough on everyday work that the decision comes down to where your documents live, how you handle data, and whether you need agents, coding or long-document…
Agents went from demos to production in 2026, mostly in narrow, well-instrumented jobs. Here is where we think they go next year, and the preparation that pays off whether each prediction lands…
Most teams now run three or four AI tools, and the useful question has shifted from “which one is best” to “which one is best for this job.” Here is the stack…
Most small teams do not need an AI strategy. They need to pick two or three jobs, set review rules, keep client data out of the wrong places, and choose tools they…
Agents have moved from novelty to useful colleague, but only inside clear boundaries. What tool-using AI agents genuinely do well in 2026, where they still fail, and how a mid-sized organisation should…
Agents suit back-office work that needs reading and judgement. Rules and queues suit the predictable rest. Here is how to split invoice handling, enquiry triage, report drafting and CRM hygiene between the…
A practical method for estimating LLM running costs before development starts: count tokens in and out, apply caching and routing, model the worst realistic day, and turn the result into a budget…
Small models now run on the phone in your pocket, and both Apple and Google let apps use them. Here is what on-device AI is good at, where it needs the cloud,…
A one-page internal AI policy beats a binder nobody reads. What mid-sized organisations should allow, ban and log, how to classify data for AI tools, review vendors and train staff.
Predictive analytics for operators does not start with a clever model. It starts with clean data, an honest baseline and a simple daily forecast. Here is how to get demand, churn and…