Eight AI case studies covering systems running in production: voice AI, computer vision, AI agents and AI automation. Each one starts with why the work began, how it was designed, and the numbers it produced once real people were using it.
Support chatbot, live SEO analyser and a vector recommendation engine, all sharing one retrieval layer.
An outbound voice agent that books meetings, qualifies leads and hands warm conversations to humans.
A streaming voice pipeline with real barge-in, running thousands of live calls a day in 12 languages.
Custom-trained YOLOv8 models running on edge devices, replacing manual visual QA so the line can run around the clock.
A pipeline that chunks long-form video into searchable scenes, transcripts and entity timelines.
Context-aware multi-channel chat that qualifies inbound leads and routes them to the right person.
Demand forecasting, OCR-driven receiving and anomaly detection across 14 fulfilment centres.
One inbox across web chat, email, WhatsApp and Facebook, with AI replies trained on past resolutions.
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