appleby.systemsBusiness situations, possible approaches and the benefits to look for when improving AI use, information security and recovery.
Fictional business situations showing how I would examine a problem. These are examples of an approach, not client engagements or measured results.
A fictional professional services firm has grown through new offices and staff changes. A client asks who can access its documents, and the firm cannot give a clear answer.
Potential benefit: Clearer responsibility for access, fewer unnecessary permissions and a more reliable answer when clients ask how their information is protected.
A fictional distribution business relies on one system for orders, stock and dispatch. Its backups report success, but nobody knows how long a serious outage would interrupt deliveries.
Potential benefit: Recovery expectations supported by evidence, clearer responsibilities and a practical basis for reducing disruption.
A fictional construction and property business handles invoices across several teams. Repeated data entry and unclear approvals cause delays, and the finance lead is considering AI.
Potential benefit: Less repeated entry and fewer avoidable queries, if the trial demonstrates a worthwhile improvement after checking and running costs are included.
Each example starts with a recognisable problem: uncertainty about access to client information, recovery that has not been tested, or a process that involves repeated manual work.
The appropriate response depends on the business, the systems already in place and the people who will maintain any change. These examples explain how I would examine the requirement and what would make an improvement useful.
Tell me what you want to improve or understand. The initial conversation is free.