ChatGPT for UK contact centres: what is realistic today
What AI genuinely does for a UK support team now, what is oversold, why your knowledge base is the real constraint, and why deflection is the wrong ...
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ChatGPT for UK contact centres: what is realistic today
What AI genuinely does for a UK support team now, what is oversold, why your knowledge base is the real constraint, and why deflection is the wrong ...
AI order entry for UK distributors and merchants: where the confidence threshold has to sit
Unstructured in, structured out, knowable rules, a system of record waiting. Why order entry, stock and quoting suit AI, and where the threshold has ...
What the AI data-leak incidents actually teach a B2B business
Five mechanisms explain almost every published AI data-leak incident. What each one really was, why banning the tool fails, and the control that ...
Exit planning: what happens to your data and your agents if you leave OpenAI
Before you sign off an AI deployment, know what leaves with you. What is portable if you leave OpenAI, what is not, and how to make exit cheap on day ...
Is ChatGPT's browsing safe for confidential research?
When ChatGPT searches, your question is rewritten and sent to outside search providers. Why the query is the confidential part, and the controls that ...
Is the OpenAI API safe to use with confidential business data?
OpenAI does not train on API data by default. The real risks are keys, logs and prompt assembly. What to configure before you send the first real ...
What a custom OpenAI integration actually costs a UK business
Build, running and maintenance are three different costs. What moves each one, what makes a project cheap or expensive, and how to sanity-check a ...
OpenAI's Agents SDK: build in-house or hire it out
You have developers and a case for an agent. What building in-house really commits you to, when commissioning is cheaper, and the hybrid that usually ...
Codex: when a developer tool becomes a business dependency
Codex seats are cheap and the results are real. The point to watch is when a business process starts depending on one, and what to do about it.
Replacing a ChatGPT workaround with a properly engineered integration
A chain of triggers has run one of your processes for months and nobody owns it. How to tell if it needs replacing, and what a real integration adds.