What makes a useful case
A useful case explains one workload, the decision it faced and the evidence available at the time. It can show an expansion, a pause, a redesign or a decision to stop.
We are interested in how the decision changed, including the assumptions that failed and the costs that were initially missed.
What to share first
Send a short, non-confidential description of the workload, the question you reviewed and whether the organisation could be named. Do not send customer records, employee data, internal documents or information you are not authorised to share.
What happens next
The editor will agree the scope, ask for the evidence needed to explain the result and prepare a draft. Publication requires approval of the final wording and an agreed description of the evidence.
Anonymity can be discussed, but a combination of industry, dates and figures can still identify an organisation. Those details are reviewed before publication.
Editorial approach
Cases do not need to show a positive result. Contributor approval does not replace evidence review, and commercial relationships are disclosed where relevant. A contributed case is labelled by where its figures come from, using the case status labels; it is not called validated until its data has been reviewed.
Begin with a short outline to contact@aieconomicshub.com. Please do not attach confidential evidence.