AI SYSTEMS · MUNIR LABS · 2023 TO PRESENT

AI Support Systems


InquiryRetrieval fromclient's ownmaterialResponseEscalation to a human

The situation

Client businesses were losing customer enquiries every day: the same questions repeating, order status and service details going unanswered until someone got to them. Hiring more people to answer repeating questions is the expensive answer. Most "AI chatbot" products fail here because they're generic: they don't know the business, so customers learn to distrust them.

The work

Each engagement delivers a deployed assistant, with a knowledge base built from the client's own material: their catalogue, their policies, their tone. The build is only half the work. The other half is integration into how the team already operates, with clear escalation paths for the inquiries that genuinely need a human, so staff trust the system instead of working around it. For regulated clients, including Islamic finance and e-commerce, the guardrail configuration, the compliance frameworks that constrain what the system is allowed to say, is part of the build.

How it went

Customer enquiries stopped waiting on a human to answer them.

Live

in production for regulated clients

What it proves

AI systems that survive contact with real customers and real staff, which is the part demos never show.

The commercial version of this work: AI Support & Enquiry Systems

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