News & views
Our own commentary on AI and IT consultancy, written for business owners rather than technologists — focused on what actually pays back.
Everything below is Milk Technology’s own view. Where a piece is expanded into a full article it will carry a publication date and, where relevant, links to the sources behind any figures quoted.
The failure is rarely the model. It is that the pilot was chosen because it was interesting rather than because it was painful, and nobody agreed in advance what “working” would look like. Start with the process people complain about.
Automation used to mean rules. Agents mean judgement — which changes what can be handed over, and raises the question of what oversight looks like when the system decides the steps as well as executing them.
Security asks whether you can keep an attacker out. Resilience asks what happens on the day you cannot. For most small and mid-sized businesses the second question is the one that has never been properly answered.
Not a policy nobody reads. A record of which systems make or influence decisions, who owns each one, what data it uses, and how a wrong answer gets caught — written so it can be handed to an auditor.
Before replacing a system, it is worth establishing whether the problem is the system or the process wrapped around it. Often the software was fine and the workflow grew around a constraint that disappeared years ago.
You do not need a data science function to benefit. The highest-return starting points are usually the least glamorous: quotes, invoice chasing, inbox triage, and the reports somebody rebuilds by hand every month.
Tell us which topic is most relevant to your business and we will write it properly.
