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Radboud Heinink
Author Radboud Heinink
6 min read
Tags
AIUse CaseSecurityMicrosoft Teams

How do you automate a reception desk in 2026 without losing the human touch?

Most traffic at your front door follows a script: deliveries, contractors, regular suppliers. Automate that, hand every exception to a person within seconds, and settle where the visitor data lives before you sign anything.

A truck driver at a gate intercom talking to an AI receptionist, shown as a holographic assistant

Quick answer: you automate the traffic that repeats and you keep people for the traffic that does not. In most buildings, the majority of calls at the entrance are deliveries, contractors and regular suppliers, all of which follow a script with three possible outcomes. Visitors who need judgement are the minority. An AI receptionist works when it handles the first group reliably and hands the second group to a human within seconds, with full context.

Who is actually standing at your front door?

Before you choose anything, log what comes in. Most organisations assume their entrance is about visitors, and the data says otherwise.

In the sites I see, the traffic breaks down roughly like this:

  • Deliveries and couriers, arriving in bursts, needing a signature and one specific door
  • Contractors and engineers, often recurring, often outside office hours
  • Waste collection, catering, and other scheduled suppliers
  • Actual visitors: candidates, customers, auditors, partners
  • People who pressed the wrong button
A courier with a parcel at a building entrance, talking to an AI assistant through the intercom
Deliveries follow a script. That makes them the first thing worth automating.

Only one of those groups benefits from a conversation with a person. The rest need a decision: is this expected, who is responsible, and which door opens. That is the part worth automating first, and it is also the part that consumes most of your front desk's day.

What goes wrong outside office hours?

This is where visitor management quietly fails. Your building is in use from roughly 6:30 in the morning until late in the evening. Your reception desk is staffed for maybe eight of those hours.

A driver in a high-visibility jacket at a gate intercom at dawn, with a truck waiting behind the barrier
6:45 in the morning. The building is in use; the reception desk is not.

What happens in the gap is predictable. The person at the gate presses the intercom, nobody answers, and they fall back on the one mobile number they have. Someone from facilities walks down and opens the door. No registration, no identification, no record. The process document says one thing and the building does another.

A second failure mode appears during Microsoft Teams migrations. When the old PBX is decommissioned, intercoms that depended on it stop behaving as expected, and door stations that were part of the old phone system end up unreachable or half working. Nobody connects that outcome to the telephony project until the complaints start. If you are planning a migration this year, inventory your door devices before you plan the cutover, not after.

What can an AI receptionist handle, and what should it never handle?

An AI assistant at the entrance should own the scripted work:

  • Greeting the person and asking who they are visiting
  • Checking the arrival against who was expected, and asking for the rest when the answer does not match
  • Issuing a visitor badge to a mobile device
  • Notifying the host that their guest has arrived
  • Opening a specific door for a specific purpose, and logging it

It should never own the exceptions. An unexpected arrival, an angry supplier, someone in distress, a person whose identification does not match, or anything that touches a safety situation belongs with a human immediately.

Which means the escalation path is the real product. The question to ask any vendor is not how good the conversation is, but what happens three seconds after the conversation fails. The right answer is that a named colleague or security officer receives the call wherever they are working, picks up with the conversation so far already in front of them, knows who is waiting and why, and can open the door themselves. If escalation means ringing a desk phone that nobody is sitting at, you have automated the easy half and left the hard half exactly where it was.

Where does your visitor data actually live?

This is the question that almost never gets asked in a procurement conversation, and it should be the second one.

An automated entrance captures ID scans, images of faces, arrival and departure times, and in many cases recordings of the conversation at the door. That is among the most sensitive data your organisation holds, and it typically sits in a layer that IT did not procure and cannot see. Tools like Microsoft Intune and Microsoft Defender have no visibility into intercoms, door controllers and paging systems. I call it the ghost network, and adding AI at the front door makes it larger, because now it is capturing more than it used to.

Three things to settle before you sign anything:

  1. Where the data is stored, under whose tenant, and in which region
  2. How long it is retained and who can export it
  3. Whether the supplier holds a current information security certification such as ISO 27001:2022

If a vendor needs more than a sentence to answer the first one, start your evaluation there.

How do you choose an AI receptionist for your building?

Use these criteria, roughly in this order of weight:

  1. Escalation quality. A real person reached in seconds, on whatever device they are already working on, with the conversation so far handed over with the call.
  2. Fit with your existing platform. If your organisation runs on Microsoft Teams, the entrance should land in Teams rather than in a separate app with its own logins and its own support queue.
  3. Hardware compatibility. Check that your current SIP intercoms and door controllers are supported, because replacing certified hardware across a site is usually the largest hidden cost in these projects.
  4. Coverage outside office hours. Ask explicitly what happens at 6:45 in the morning and at 19:00.
  5. Audit trail. Can you produce, next Monday, a verifiable record of who entered on Thursday evening and who let them in.
  6. Data governance, as above.
  7. Scope for growth. One gate today usually becomes multiple buildings and dozens of doors within two years.

Checklist: before you automate your entrance

  • Log two weeks of entrance traffic and categorise it before you design anything
  • Identify the hours your building is open and your desk is not
  • Inventory every intercom and door device, and check it against your Teams migration plan
  • Define which situations must always reach a human, in writing
  • Test the escalation path with the actual people who will receive it
  • Confirm where recordings and ID data are stored and for how long
  • Ask for the supplier's security certification, not a summary of it
  • Set a baseline for incidents and unauthorised access attempts so you can prove the change

What does this look like in practice?

One manufacturer I work with runs a single gate, eight buildings and twenty four doors and intercoms. After automating the routine traffic and giving their guard mobile escalation, security incidents fell by around seventy percent in the first year and unauthorised attempts to enter a building after passing the gate dropped by roughly ninety percent. They did not hire anyone.

The front door is the last place where every person entering your building can still be stopped. It deserves better than a sticker and a sign-in sheet.

Want to see how this works with the intercoms you already have? Read about our AI receptionist for Microsoft Teams, or talk to our team.

About the Author

Radboud Heinink
Radboud Heinink
Managing Director

Managing Director at CyberTwice, leading the company's vision to modernize safety and compliance within Microsoft Teams.

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