1. Sort new enquiries for the right person
An AI-assisted workflow can suggest a category for incoming enquiries and draft a summary for the team. Start with a small set of categories and send uncertain cases for review. Keep the original message attached so a colleague can verify the summary. Use simple rules for exact routing where those rules are sufficient.
2. Prepare follow-up drafts
Use AI to prepare a reply from the enquiry and your approved service information. Let a person review promises, pricing and tone before sending it. Routine reminders can use ordinary scheduling rules instead of AI. Begin with drafts and measure how much editing they need before considering more automation.
3. Reduce appointment coordination
A booking form can collect availability and send confirmations through a rules-based workflow. AI may help interpret free-text requests or prepare meeting notes, while the calendar remains the source of truth. Include a clear way to reschedule and a person to contact when the request falls outside the usual options.
4. Turn documents into reviewable records
AI can suggest fields from a document, such as a reference number, date or requested service, for someone to confirm. Preserve the original file and flag missing information. Treat financial figures and important identifiers as values to verify, not guesses to accept. Limit access to the people who need the record.
5. Draft a weekly operations summary
Combine approved enquiry or project records into a draft summary of activity, open items and next steps. Calculate counts and totals directly from the underlying data, then use AI to explain them in plain language. Ask the reviewer to check the summary against the records before it is shared.
Choose one workflow and measure the result
Pick a task that repeats often and has a clear owner. Record the time it takes today, choose a small pilot and track review time, errors and missed handoffs. Include subscriptions, setup and maintenance in the cost. Expand only when the workflow saves effort after review; not every process needs AI.
Plan access, oversight and a manual fallback
Decide which data the workflow may access, who approves its output and what happens when a tool fails. Avoid giving a new automation broad access by default. Microsoft’s guidance on AI automation also emphasizes matching tools to the task and maintaining human oversight. Dhanvarsh can help scope a pilot around your existing business process.