Make your product
intelligent.

AI UI integration adds model-assisted features directly to a product workflow. It combines the interface, approved context, model behavior, and user controls so people can request, review, and act on useful outputs without leaving the product they already use.

Good candidates include guided search, document assistance, support workflows, summaries, content drafting, and recommendations that use well-defined product context. We prioritize tasks where users can judge the result and where the product has a clear path for correction or escalation.

We identify approved sources, define retrieval and permission rules, and pass only the context needed for the task. Depending on the product, that may involve structured application data, documents, search indexes, or APIs. Source visibility and access controls are designed with the interface.

We design for uncertainty instead of hiding it. The product can show source context, request clarification, limit available actions, route exceptions to a person, or let users edit a draft. We also define evaluations that reflect real tasks before expanding access.

Yes, when the current architecture and data access support the intended workflow. We review the frontend, backend, authentication, data boundaries, and model-provider requirements, then choose an integration that fits the product rather than rebuilding unrelated parts of the application.

Scope varies, but it can include interaction design, frontend implementation, context and retrieval services, model integration, guardrails, evaluations, and launch monitoring. We document the agreed ownership and review process so your team understands how the feature should be operated and improved.