Case study · INTO, our own operation
The night shift we kept.
We built AI guest-service software, then ran the operation ourselves. The first system we ever ran was our own.
- Sector
- Hospitality
- Function
- Customer service
The operation
Guest service keeps moving after office hours. INTO built the software, then took responsibility for running the operation itself, voice included, around the clock.
What AI should own
The system handles the guest responses it can answer autonomously. The remaining responses stay with the operation rather than disappearing behind an automation claim.
What shipped
An AI guest-service system that INTO runs in its own operation, with voice included and service continuing around the clock.
Reconstructed operating loop
Autonomy earns the response. People keep the exception.
This diagram reconstructs the published operating result: about 75% of guest responses run autonomously, while the remaining responses stay with the operation.
Illustrative reconstruction, not a production screen.
Guest-service request
Can the system answer autonomously?
~75%
of responses autonomous
Human hand-off
Remaining responses stay with the operation
INTO operates the system and remains accountable
The numbers
The number is an operating result from INTO's own service, not a forecast or a client projection.
- ~75%
- of guest responses handled autonomously, in our own operation
What runs today
About 75% of guest responses run autonomously today. The team that built the system still answers for the operation behind it.