Illustrative workflow / Customer enquiries
See what AI can prepare, what rules can check, and where your team stays in control.
Fictional sample data. This is an implementation example, not a client case study or a measured result.
01 / The starting point
Someone reads each new enquiry, copies details into a shared record, decides who should review it, and drafts a reply.
“Hello, our operations team receives service requests with supporting documents. Could you help us organise the details before the team reviews them?”
Sample incoming message
02 / The prepared record
03 / How the workflow is built
AI prepares
Extract the request, suggest a category, identify missing details, and draft a possible response using agreed instructions.
Rules connect
Validate required fields, check for duplicates, and prepare a record in the agreed tool. Integration depends on available access and platform capabilities.
People decide
A team member checks the source message, corrects the record, confirms the owner, and approves any reply before it is sent.
04 / Before implementation
We define the source inbox, required fields, destination tool, review owner, and what happens when information is unclear. Sensitive or incomplete messages go to a person rather than being silently guessed.
A pilot uses representative examples and checks incorrect categories, duplicate requests, missing details, and unavailable connections. Your team receives a walkthrough and an agreed way to report issues.
The result to evaluate: a consistent draft record with a clear review step. Time saved and accuracy would be measured during a real pilot; no performance claim is made for this demonstration.
Discuss your workflowSOLA VIA / A clearer way forward
Make space for
what comes next.