AI & Generative AI
Practical AI Within Existing Business Workflows
Where AI can assist a business process without becoming a separate, disconnected layer.
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AI becomes easier to evaluate when it is connected to a specific business task. Instead of asking where AI can be added, start by asking where people lose time, repeat work, or need help interpreting information.
Look for a clear use case
Potential starting points include summarising notes, helping users find information, drafting routine text, or highlighting records that may need attention. The right use case depends on the process, the quality of available data, and the consequences of an incorrect result.
Keep people in control
AI output should be presented with enough context for a person to review it. For consequential decisions, keep an appropriate human approval step and make it possible to correct errors.
Teams should also decide what information the AI may access, how sensitive data is handled, and how outputs are checked.
Measure the result
A small pilot can compare the existing process with the AI-assisted process. Useful measures might include time spent, rework, completion rates, or user feedback. Choose measures that fit the task rather than assuming AI will improve every metric.
Integrate thoughtfully
AI is not a replacement for clear process design, reliable data, or well-built software. It works best when it supports a defined workflow and when users understand both its value and its limits.
Key takeaway: Start with a real task, introduce AI where it can help, and validate the result before expanding its role.