Someone needs to read the new requests, work out who should handle them and write another version of the same reply. In a small professional-services office, that work can quietly fill the gaps between everything else.
Yes, AI can help with that routine. I'd start by letting it summarize a request and prepare a response for someone to check. Keep responsibility for the customer, the facts and the final send with your team. Once that works reliably, you can decide whether connecting more of the process is worthwhile.
This is the first article in our AI at Work series, about making everyday business tasks easier. This week's starting point is a shared inbox used by an office manager and a few colleagues. The example below is a proposed workflow using fictional information, not a customer implementation or a measured time-saving claim.
Start with the part your team repeats
Think about a consulting office receiving requests for an introductory meeting. A colleague opens each message, reads the thread, checks whether the sender supplied enough information and drafts a response. Someone else may open the same message later and do much of that work again.
Before adding AI, agree on where the request's owner and next step will be recorded. That might be your existing customer-management system or an agreed work queue. An AI summary alone doesn't tell everyone whether a colleague has already responded.
Then separate predictable work from work that needs interpretation. A rule can route mail sent to a particular address. An approved template can answer a standard question. AI becomes more useful when it needs to turn a long, differently worded request into a short summary or adapt a draft to the details provided.
For the first trial, choose one ordinary request type. Leave complaints, changes to payment details and messages requiring professional advice with an appropriate person.
What the email tools can actually do
Microsoft's current guidance says Copilot Chat in Outlook supports summarizing and drafting in shared and delegated mailboxes. It also says direct actions such as categorizing those messages, sending email and scheduling meetings aren't yet supported in that experience. Those are different capabilities, so a demonstration of a summary shouldn't be treated as proof that the whole inbox can run itself. Microsoft's shared-mailbox guidance.
The separate Microsoft Copilot app has its own instructions and prerequisites, including a Copilot license and specific access requirements. We would check the actual app, license, mailbox permissions and available features in your environment before choosing a setup. Microsoft's Copilot app instructions.
If your process needs connected steps, Power Automate is another option to assess. Its Outlook connector documents a trigger for new messages in a shared mailbox, while approval actions can pause a flow for a person's decision. That does not make a ready-made AI inbox: the proposed connection, licenses, handling of attachments and failure paths still need to be designed and tested. Outlook connector reference and approval workflow guidance.
A request, a draft and a human check
Here's a fictional example. A sender asks a consulting firm for an introductory call next Thursday and says they have twelve employees. They haven't supplied a preferred time or explained what help they need.
The proposed process would look like this:
- Identify the request. AI suggests “new consultation inquiry” and summarizes the details present in the message. It flags missing information instead of filling it in.
- Prepare the next step. Using an approved response outline, it drafts a short acknowledgement asking for the missing details. It makes no claim about availability, price or what the firm can deliver.
- Review against the source. The assigned colleague opens the original message, checks the recipient and facts, and edits the draft. “Next Thursday” stays a point to confirm if the date is ambiguous.
- Send and record. The colleague sends the checked reply and records the next action in the agreed queue. Another colleague can see that someone has handled it.
A useful starting instruction would be: “Summarize this inquiry using only the information provided. List anything we need to ask. Prepare an acknowledgement for review using our approved outline. Do not promise an appointment, price or outcome.”
That instruction helps define the task. It is not a security control. A connected workflow needs its own permission limits and review step; an incoming email must not be allowed to change those rules. Instructions inside a customer's message to reveal information, change destinations or bypass review should be treated as content to examine, not authority to act.
How we would help put it to work
At IT MGMT, we would begin with one repetitive process and the tools your staff already use. Together, we'd map what comes in, where the information belongs, who owns the response and what should happen when something is unclear.
Next comes the practical integration work: checking supported connections, limiting access to the information needed and agreeing which actions require approval. People should use their own authorized accounts. If your current arrangement relies on a shared password, our guide to working without shared logins explains why that deserves attention first.
We would test with fictional or otherwise approved information before using customer messages. The test should include incomplete requests, conflicting details, duplicate messages and an unavailable connection. If the system fails or nobody reviews an item, it should leave a visible task for a person rather than silently lose the request.
The staff handoff matters just as much as the connection. Your team needs to know how to inspect the source, correct a draft, find waiting work and switch back to the ordinary process. We would also agree who maintains the integration when permissions, software or your own procedures change. Scope, ongoing support and any software costs need to be agreed for the project.
Your first-inbox worksheet
Use this to choose a small trial. Record process details, not passwords or private customer information.
| Question | A practical starting answer |
|---|---|
| Which repeated request will we start with? | New introductory-call inquiries, excluding complaints and sensitive requests. |
| What may AI do? | Summarize supplied details and prepare an acknowledgement for review. |
| What information may it use? | The selected message and an approved response outline, with access limited to what's needed. |
| Who checks the response? | A named colleague, with a backup when that person is away. |
| Where will others see the next action? | Our existing agreed queue or customer record. |
| What happens when it fails or is unsure? | Keep the original message available and flag it for manual handling. |
| How will we judge the trial? | Compare total handling time, corrections, missed requests, staff use and operating cost. |
Measure the time spent reviewing and fixing drafts as well as producing them. If checking an answer takes longer than writing it, that request may need a better template, clearer source information or a different approach. A faster draft is only useful if the complete process is easier and dependable.
If your team keeps saying, “We do this same thing every day,” bring one example to us. Our workflow automation and AI integration service starts with a defined business process. Book a conversation with IT MGMT, and we can work through what would make that task easier.
Product guidance checked October 20, 2026. This is a planning example; no customer mailbox integration was implemented or tested for this article.