Use-case definition
Identify the user, task, information boundary and outcome before selecting an implementation pattern.
Generative AI becomes useful when it is connected to a specific task and the right business context. Juan Infotech designs integrations that help people draft, summarise, retrieve or explore information inside a clear application workflow.
This service suits organisations exploring knowledge assistants, content support, conversational product features or AI-enabled tools that must work with approved information and existing systems.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
Identify the user, task, information boundary and outcome before selecting an implementation pattern.
Create clear interactions for prompts, responses, sources, review and expected failure states.
Connect suitable services to authorised application data through controlled interfaces.
Test representative scenarios and define monitoring, feedback and human-review expectations.
Each phase produces something reviewable before the next commitment is made.
Choose a focused problem where assisted generation or retrieval can create practical value.
Test the workflow and response experience with representative, non-sensitive examples.
Connect approved services, data sources and application controls.
Review quality, safety, latency and user handling before a controlled release.
Not necessarily. Many useful solutions can integrate an appropriate existing model with approved context, application logic and evaluation.
They can use authorised content through a carefully designed retrieval or integration layer, with access boundaries included in the solution design.
We narrow the task, provide relevant context, design clear fallbacks, test representative cases and keep human review where the risk requires it.