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AI where it reduces manual work I integrate knowledge search, assistants and automation into a specific process. We begin with the questions and trustworthy sources, not a generic chatbot widget.
AI pilot: 7–30 working days
An AI assistant shaped around your content and workflow.
01 / SCOPE
What makes an integration useful 01 Scenario Users, frequent questions and handoff boundaries.
02 Data and retrieval Permitted documents, updates and relevant passages.
03 Quality control Test questions, source links and uncertainty handling.
Okhana — AI within a product flow An example of an assistant used in the product context rather than as an unrelated overlay.
View the work ↗ 03 / PROCESS
Start with a testable pilot 01 Choose the task Pick a narrow, repeated problem with usable data.
02 Prototype Build retrieval and response on a limited collection.
03 Evaluate Compare answers with sources and adjust.
Can answers be guaranteed error-free?+ No. Quality depends on the sources and task, so the pilot includes tests and a human fallback.
What is RAG?+ It retrieves relevant passages from your material before the model answers, so responses can refer to those sources.
Can it use our knowledge base and CRM?+ Yes, where access is available. Actions in the CRM need scoped permissions and confirmation for sensitive steps.
How do we test answer quality?+ We assemble real questions, expected sources and evaluation criteria, then test before release.
ANOTHER ROUTE
Where should AI work? An assistant can live in an app, search a catalog or help editors in a CMS.
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