Real Transformations. Measurable Outcomes.
Every case study below represents a completed engagement — not a pilot, not a proof-of-concept. Production systems, running today.
Transforming a 200-Seat Call Centre with AI-Human Hybrid Operations
A mid-sized Hong Kong call centre handling customer service for a financial services client was facing rising costs, high staff turnover, and declining CSAT scores. Over 70% of daily call volume consisted of repetitive tier-1 inquiries — balance checks, transaction status, account resets — that required no complex judgement but consumed the majority of agent time. Management had explored chatbots before, but previous implementations felt robotic and were abandoned by customers within seconds.
We began with a three-week process audit, shadowing agents across shifts and categorising every call type by complexity, volume, and emotional sensitivity. From this, we designed a two-layer system: an AI agent handling tier-1 inquiries with natural, conversational Cantonese and English, and a seamless handoff protocol that passed context-rich summaries to human agents the moment escalation was needed. Human agents were retrained — not reduced — to focus on complex cases, complaints, and relationship-building.
The agents who were nervous about AI have become its biggest advocates. They're handling more meaningful work, and our clients notice the difference.
Automating Documentation & Scheduling for a Regional Shipping Operator
A regional shipping operator managing freight routes across Southeast Asia was drowning in paperwork. Bills of lading, customs declarations, port clearance documents, and vessel scheduling — all managed through a combination of legacy software and manual email chains. Errors in documentation caused costly delays. Experienced coordinators spent up to 60% of their day on data entry tasks that required expertise to perform but added no strategic value.
We deployed a suite of specialised AI agents: one for document extraction and validation (reading incoming shipping documents, extracting structured data, and flagging anomalies), one for customs compliance checking against the latest regulatory databases, and one for vessel scheduling optimisation. Human coordinators shifted to exception management — reviewing flagged cases, managing carrier relationships, and handling port-specific nuances that require on-the-ground experience.
We were sceptical that AI could handle the complexity of international shipping compliance. Cheng Lam Kee proved us wrong — systematically.
Building a Personalised AI Corporate Training Platform from the Ground Up
An enterprise training provider saw surging demand for AI literacy courses from corporate clients — but faced a fundamental problem: their instructors couldn't keep up with the pace of AI development, and their one-size-fits-all curriculum failed to engage learners with different technical backgrounds. Completion rates for their AI courses languished at 28%, and corporate clients were demanding more measurable learning outcomes.
We designed and deployed an AI-powered personalised learning platform. An intelligent curriculum agent assessed each learner's existing knowledge through adaptive pre-course diagnostics, then dynamically constructed a personalised learning path. AI tutors provided 24/7 support in Cantonese and English. Human instructors were repositioned as mentors and facilitators — leading live workshops, coaching high-performing learners, and handling nuanced conceptual questions that AI tutors escalated.
Our instructors were initially worried their jobs were at risk. Six months in, they're more valued than ever — and our business has tripled.
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