Case study · Operto
Six agents. One operating platform.
Operto entered late 2024 with no generative AI capability. Twelve months later, a production multi-agent system was running inside its operating platform.
- Sector
- Hospitality tech
- Function
- Product AI
The operation
Operto entered late 2024 with no generative AI capability. The work had to live inside an operating platform used across guest service, concierge, revenue, and operations.
What AI should own
One general system was not the answer. Six specialized agents divided responsibility across the four operating functions, with confidence-gated autonomy inside the platform.
What shipped
INTO co-built the AI layer of Operto Connect: six specialized agents across guest service, concierge, revenue, and operations.
Reconstructed orchestration topology
Six agents, organized around four operating functions.
This topology reconstructs the approved system shape: six specialized agents inside Operto Connect, spanning guest service, concierge, revenue, and operations with confidence-gated autonomy.
Illustrative reconstruction, not an Operto product screen.
Operto Connect
Confidence-gated autonomyThe numbers
The twelve-month measure runs from the first sprint to the production platform. It is not a claim that the first production release took twelve months.
- 12 months
- from first sprint to a production platform, with Operto
- 6
- specialized agents across four operating functions
What runs today
A production multi-agent system with confidence-gated autonomy runs inside Operto's operating platform.