Specialised work, not a feature list.
Each service has its own scope, its own buyers, and its own outcomes. We name them clearly so you can choose without guessing. The work is specialised by discipline, not packaged as a feature list of generic capabilities.
GreetScribe — a managed guest interface for hospitality.
Qevinto's managed AI guest-interface service for hotels, hosts, accommodation providers, and tourism companies. It is configured around your own source material, guest workflows, and use case.
Designed for the rhythm of hospitality, including after-hours enquiries, repeat logistics questions, and the booking conversation that actually converts a visitor into a guest. The commercial model is project-specific launch setup, then ongoing monthly service where applicable.
What it handles
- Availability and booking enquiries
- Repetitive logistics such as check-in, sauna, breakfast, and transfers
- After-hours enquiries when reception isn't staffed
- Guidance toward booking, contact details, or approved service channels
Custom chatbot solutions, tailored around your business.
For businesses with specific workflows, customer journeys, content, data, integrations, or business rules that need a tailored chatbot or AI assistant implementation.
Qevinto can build tailored customer-facing assistants around your workflows, content, business rules, and operational requirements. GreetScribe is Qevinto's pilot-stage hospitality chatbot product; this service is for client-specific custom implementations.
What is configured
- Conversation flows tailored to your workflow and customer journey
- Business-specific solution configuration
- Hosting and infrastructure configured per project, with EU-based options where required
- Documentation, tests, launch support, and training where needed
Data automation, for repeat operational work that doesn't need a human in the loop.
For routing, predefined scenarios, repeat enquiry handling, content drafting, or routine administrative work, where data automation removes manual steps without removing control and can use AI where the project need justifies it.
Scope, decision points, and exception handling are documented before anything is built. Where a process should keep a person in the loop, the design says so explicitly.
What gets defined
- Which steps are safe to automate, and which require human judgement
- Inputs, outputs, and how data automation connects to existing tools
- Exception handling, error paths, and escalation to a person
- Monitoring, audit trail, and how changes are reviewed
AI consulting for specific business needs, when the right solution is not obvious.
AI consulting is used when the right solution is not obvious. Qevinto helps clarify the business question, data boundaries, workflow, and practical implementation path before technical work begins.
For companies with specific questions, unclear workflows, or special requirements, we help define what kind of chatbot, automation, or AI assistant approach is worth pursuing — and what should be left untouched. The aim is to find the right answer before building the system.
What we clarify
- The business question and what a useful outcome would look like
- Data boundaries, residency, and what should stay internal
- Workflow, integrations, and operational fit
- The practical implementation path — including what should not be built
Four services, one engineering discipline.
Same discipline across services
Whether it's GreetScribe for hospitality, a custom chatbot implementation, an automation project, or a consulting engagement — the same controlled, testable engineering discipline runs underneath.
Scoped, not open-ended
Each engagement starts with a defined scope. Implementation/setup is priced by complexity, and ongoing monthly service covers hosting, maintenance, monitoring, updates, and support where applicable.
Managed service by design
Documented flows, testable conversations, and clear control surfaces. Your business data, source materials, and approved content remain yours while Qevinto configures and operates the managed service.
Honest about what we don't do
We keep the model clear through discovery before implementation, project-specific setup, and ongoing monthly service where the system needs hosting, maintenance, monitoring, support, or updates.
Have a project in mind? Tell us about it.
Briefly describe the idea, workflow, or business problem. Your enquiry will be reviewed carefully so the next conversation starts with the right context.