Map reality, not the intended process
Document how work actually moves today, including the messages, spreadsheets and manual fixes people use when the formal process breaks down. These details reveal where support is genuinely needed.
A workflow map also shows which steps require judgement, which depend on reliable data and which can be standardised safely.
Identify useful boundaries
AI can summarise, classify, draft and retrieve information, but it needs clear boundaries. Define what it may produce, who reviews the output and what information it can access.
These boundaries make the system easier to trust and reduce the risk of introducing uncertainty into important customer or operational decisions.
Prepare the information
An AI system is only as useful as the context available to it. Documents, customer records and process guidance need clear ownership and sensible organisation.
Improving this foundation often creates value even before AI is introduced because the team can find and use knowledge more consistently.
Start small and observe
Choose a low-risk workflow with a visible outcome. Review the quality of outputs, exceptions and time saved before expanding the system.
This creates a practical adoption path based on evidence rather than excitement.