Conversation & intent design
Define supported user goals, clarification, refusal, recovery and human-handoff paths.
A conversational interface should help a user complete a defined journey, not merely imitate conversation. Juan Infotech designs assistants around user intent, approved knowledge, authenticated actions, escalation and the operational evidence needed to improve service responsibly.
The service can support customer help, employee assistance, product guidance, enquiry qualification and status workflows where the assistant has a clear scope and a reliable route to a person when it cannot help.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
Define supported user goals, clarification, refusal, recovery and human-handoff paths.
Connect approved content and application actions while respecting user identity and permissions.
Introduce the experience through an agreed website, application or supported messaging interface.
Evaluate responses, protect sensitive data and monitor unresolved, escalated and unsuccessful conversations.
Each phase produces something reviewable before the next commitment is made.
Choose supported journeys, users, channels and service boundaries.
Map conversation, context, actions and escalation.
Connect approved knowledge and application capabilities.
Exercise real language, ambiguity, misuse and service failures.
Review quality, handoff and unresolved intent evidence.
Not necessarily. The service can combine retrieval, authenticated application actions and human handoff, but each capability is included only where the use case requires it.
It should be positioned around suitable requests and provide escalation for complexity, sensitivity or uncertainty rather than pretending every issue can be automated.
Yes, where authorised APIs exist and the workflow defines validation, user consent, ownership and failure handling.