Do I really need AI?
Honest questions to ask before adopting. Sometimes the answer is "not yet", and that's a decision worth defending.
Practical writing on AI adoption for people who have to defend the decision afterwards.
Honest questions to ask before adopting. Sometimes the answer is "not yet", and that's a decision worth defending.
A framework to calculate whether AI investment pays for itself: formula, inputs, and the three mistakes that quietly break most ROI cases.
Cost per token for running LLMs locally, across RTX 4090, 5090, 5080, and 20+ other GPUs. When self-hosting becomes the cheaper answer.
Why cloud-only AI breaks down at scale, and the four questions that separate a safe buy from a risky one.
Natural language is turning out to be the cheapest glue between CRM, ticketing, knowledge bases, and sales tools. Here's where it works and where it doesn't.
When to buy SaaS, Copilot, or HubSpot AI, and when to build or tailor. A decision framework for the middle ground most teams live in.
Why workforce cuts sold as "cost optimisation" don't add up. SMEs are already the skeleton. AI should give them room to breathe, not excuse thinning it further.
Tokens, kilowatts, and carbon sit on the same chain, but cloud AI breaks it. A practical framework for closing the Scope 2 loop on AI workloads without pretending the rest of your reporting is easy.