RAG AI assistant with human handoff and issue reporting

Challenge

Users kept asking the same questions about the business system, the support team spent every day answering repeats, and bug reports arrived without context, screenshots or technical detail. Knowledge-base documents were scattered and quickly out of date.

Solution

• AI chat assistant embedded directly into the business application UI.
• RAG architecture: document chunking, embeddings, hybrid keyword + semantic search.
• Automated document ingestion from the company source with versioning and hash tracking.
• Human handoff with a context summary — the human agent doesn't have to ask the user to repeat themselves.
• In-chat issue reporting: the user describes the problem, the assistant captures a screenshot or recording and pushes a structured ticket into the existing tracker.

Results

• Fewer repetitive support questions.
• Faster user assistance inside the application.
• Significantly better bug-report quality — with screenshots and technical context.
• Shorter onboarding for new users.

Our approach

RAG agent + workflow orchestration + knowledge-base indexing + integration into the existing ticketing system. The solution is handed over to run on the client's infrastructure with deployment documentation.

Best fit for

• ERP, CRM, e-commerce platforms, accounting or document management systems.
• SaaS products with high support load.
• Internal company portals and helpdesk teams.