Product assistants
Help users navigate information and next steps.
aiqorxWeb experiences / Artificial intelligence
AI features should solve a defined user problem with evidence that their quality is acceptable for the task.
Talk through your project
A connected engineering approach
People, tasks, accessibility
Components, logic, integrations
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Help users navigate information and next steps.
Classify, extract, and summarize with reviewable outputs.
Present relevant context while preserving human judgment.
02 / Architecture
Define the task and evaluation criteria before selecting a model. Design permissions, uncertainty, fallback behavior, and review into the experience.
AI behavior varies with inputs and model changes. Some tasks are better served by rules or a conventional search.
03 / Delivery & care
Review keyboard and screen-reader access, narrow screens, loading states, and recovery from failed requests. Measure the real page and interaction costs before release.
Review the users, existing systems, constraints, and definition of success.
Document the architecture, interfaces, risks, and delivery scope.
Review working increments against real use cases and failure conditions.
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
AI behavior varies with inputs and model changes. Some tasks are better served by rules or a conventional search.
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's build