2M monthly citizen queries, 78% query deflection from call centre
The Challenge
A GCC government ministry received 2.6M citizen enquiries monthly through a call centre — 78% of which were routine questions answerable from public policy documents, regulations, and procedural guides. Call centre costs exceeded SAR 18M annually. An existing chatbot had a 34% accuracy rate and was widely distrusted by citizens who preferred to call instead.
The Solution
TECHTIMIZE built a production RAG system on AWS Bahrain (me-south-1) ingesting 4,200 policy documents, regulations, and procedural guides across Arabic and English. Pinecone vector store with hybrid retrieval (dense + sparse) achieves 99.2% Recall@5 on evaluated query sets. GPT-4 generates cited, contextual responses grounded in official documents. The system is deployed as a web widget embedded on the ministry portal and WhatsApp Business API — all data remaining within Saudi Arabia under NCA ECC controls.
Technology Stack
Results
How We Delivered It
"Citizens now get accurate, cited answers to their questions in seconds — in both Arabic and English. The trust in our digital services has fundamentally shifted."
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