Make the service conversation useful after it ends.
A hotel front desk hears guest needs, service concerns, and moments that could help a team improve. When a face-to-face interaction ends, those signals can disappear with it. Quipira focuses on making them useful to service teams and owners.
The work
A product built around hospitality work
The embedded fractional CTO engagement covered technology strategy, platform architecture, hands-on implementation, and delivery ownership for Quipira’s conversational intelligence product.
A focused first setting
The first validation setting is the hotel front desk. The same conversation-to-operations scenario is also being explored in F&B across several restaurants.
One conversation, several practical uses
Front-desk interaction
A guest and a service team member speak.
Conversation signals
Requests, service standards, and coaching opportunities emerge.
Operational context
Signals become useful to service teams and owners.
Approach & decisions
Start from the service interaction
The product centres on conversations between people at the front desk. That puts the work in the context where guest needs and service behavior are expressed.
What this demonstratesConversational product design
Connect the signal to someone’s work
The output is organised around coaching, service standards, guest requests, and operations. These are different uses for the same conversation, serving the people responsible for following through.
What this demonstratesApplied AI and operational workflow design
Validate in a real service setting
An early hotel pilot tests the product in a real service setting. Work with restaurants extends the conversation-to-operations scenario into F&B.
What this demonstratesProduct validation and workflow adaptation
Results & progress
Early validation in hospitality
Quipira is being piloted with a major hotel group, with the same scenario expanding into F&B across several restaurants.
Conversational intelligence for hospitality.
Applied AI capability mapping
- Product
- Product discovery
- AI workflow redesign
- Product iteration
- Engineering
- Technology strategy
- Platform architecture
- Hands-on implementation
- Delivery
- Delivery planning
- Execution ownership