AI for Business
Assess AI projects through a specific business process, measurable outcomes and the work needed to operate the result.
Start with one process
Choose a task with a clear owner, known inputs and an observable outcome. Map the current steps, exceptions and review responsibilities. Record a baseline for time, cost and quality before changing the process.
Run a bounded pilot
Agree what a successful result looks like and how it will be checked. Use representative examples, including difficult cases. Decide when a person must review a result and how the team can return to the existing process if needed.
Count ongoing work
Assess setup, integration, subscriptions, training, review, support and maintenance. Compare the total effort with the measured benefit. Request assumptions and scope alongside any supplier estimate; a headline implementation price cannot describe every project.
Define ownership and access
Identify who owns the workflow, approves changes and responds to problems. Review access to business data and establish a practical way to record errors and improve the process over time.
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Tools and publications
New English-language publications in this topic will appear here as they are published.
