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Use Cases

How AI Should Touch Your Inbox: Trust Patterns for M365

Connecting AI to email, calendar, and Teams is a trust problem before it is a plumbing problem. Three design patterns that keep it safe.

The trust problem hiding behind the integration

"Connect your AI to email and calendar" sounds harmless until you think about what that really means. An AI that can read every message in your inbox and send mail on your behalf is a very privileged piece of software. The integration question is not whether it works. It is whether you can trust it.

Most consumer AI tools answer this with broad admin consent and a permissions screen no one reads. That is fine for a personal productivity hack. It is not fine for a company that has to answer to a DPO and an external auditor.

We treat this as a design problem. Three patterns make the integration safe enough for HR, Legal, and Finance to actually use, not just IT to demo.

Three trust patterns we apply by default

Delegated, not admin consent

The assistant acts as the signed-in user, not as a privileged service account. It can read what they can read, send what they could have sent, and nothing more. There is no all-powerful AI service identity sitting next to your inbox.

Read instantly, confirm before write

Reading email or calendar happens immediately and silently. Anything that changes the world (sending a message, booking a meeting, completing a task) shows a clear preview and waits for the user to approve. No surprise meeting invites at 03:00.

Audit trail per user, not per assistant

Every action the assistant takes on a user's behalf is logged with their identity. When IT asks "what did Bo's assistant send last week", the answer is one query in the admin dashboard, not a forensic project.

What people use it for, day to day

The five surfaces where the integration shows up in normal office work. Read access is immediate. Anything that changes something asks first.

Email

Read your inbox, summarise threads, search across folders, draft replies with context from prior conversations. Sending always asks first.

Calendar

Find free slots, propose meetings, summarise upcoming days. Booking and accepting always require an explicit confirmation.

Teams chat

Catch up on a busy channel, find a specific conversation, draft a message. Posting waits for the user to approve.

Files

Search OneDrive and SharePoint, summarise documents, pull data into the conversation. Read-only by default.

Tasks and Planner

List your open tasks, sort by deadline, mark complete. Bulk creation always shows a preview first.

A typical Monday morning

User: Read the latest unread email from my biggest customer and book a follow-up call this week.

Assistant: Found one unread email from Acme dated this morning. They are asking about Q2 timelines. Pulling free slots from your calendar this week.

Assistant: I have a draft meeting invite ready. Title: "Acme Q2 follow-up". Wednesday 14:00 to 14:30. Body references their question. Send invite?

Two reads happened immediately. The write step waits for an explicit click. Both events show up in the admin audit log with the user's identity.

Ready to see it in action?

Schedule a personalised demo and see how the Plainsight AI Assistant fits your organisation.

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