Practical insights on process optimisation, AI and knowledge management in mid-sized companies. No buzzword bingo — only what works.
Without clear input and output definitions, every process runs on assumptions. A mental model from computer science, consistently applied to business processes in mid-sized companies.
What looks like a technology problem is almost always a data problem. Data quality, single source of truth, data warehouse and data lake explained clearly.
Understand, optimise, automate in that order. Why the most expensive reflex is reaching for technology too early.
The output is the only part of the process that counts to the outside world. Five questions to check any output.
New articles appear irregularly — but always when there's something genuinely worth saying. No newsletter spam.
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