Experiences That
Speak for Themselves

Accounts from organisations across Hong Kong who chose Meridium for their AI journey — shared in their own words.

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Client success stories
40+
Projects completed since 2021
96%
Clients reporting positive outcomes
4.8
Average client satisfaction (out of 5)
85%
Return for a second engagement

What Our Clients Share

"Our data team had been asking for better analytics for two years. Meridium came in, understood the real problem in a week, and delivered a dashboard that our management team now relies on every Monday morning. The anomaly alerts alone have changed how quickly we respond to issues."

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Catherine Ho
Head of Analytics, Logistics Firm · Kwun Tong
January 2026 · Data Visualisation

"The conversational interface Meridium built has made a genuine difference to how quickly new staff become productive. It's not that the old system was bad — it was just hard to navigate until you'd been using it for months. Now people can just ask what they need. The follow-up support was also excellent."

MT
Michael Tong
Operations Director, Property Management · Wan Chai
February 2026 · Conversational AI

"We brought Meridium in for the AI Ethics Workshop before starting our own AI development programme. The session was substantive — not a checkbox exercise. The case studies were tailored to financial services, the facilitator held the room well, and our team left with an actual framework we now reference in sprint planning."

AY
Amanda Yuen
Technology Lead, Financial Services · Central
January 2026 · AI Ethics Workshop

"What I appreciated most was that Meridium told us early on that one of our original ideas wasn't worth pursuing — and explained why. That honesty saved us time and budget. The actual visualisation project they recommended instead was more valuable than what we'd asked for."

RK
Raymond Kwok
CEO, Professional Services Firm · Tsim Sha Tsui
December 2025 · Data Visualisation

"The documentation Meridium handed over at the end of our project was some of the best I've received from any technology partner. Our internal dev team could pick up the codebase and extend it within a week. We've since added two integrations ourselves that weren't in scope."

JL
Jenny Lau
Head of IT, Healthcare Admin Group · Shatin
January 2026 · Conversational AI

"We ran the AI Ethics Workshop with our product and engineering leads as we were planning our first AI feature. It changed the conversation in our team in a way that no internal meeting had managed. The workbook is now part of how we brief new product work. Well worth the half-day."

DS
David So
Product Director, EdTech Company · Mong Kok
February 2026 · AI Ethics Workshop

Case Studies

A closer look at three engagements and the changes they produced.

Challenge

A logistics company in Kwun Tong was spending 12 hours per week manually compiling operational reports from five different data systems. Leadership couldn't identify performance issues until they were already significant.

Solution

Meridium built an AI-enhanced dashboard that unified all five data sources, applied ML-based anomaly detection, and generated role-tailored views for operations staff and senior management. Delivered in six weeks.

Results

Reporting time reduced by approximately 90%. Three operational issues identified in the first month that would previously have been discovered two to three weeks later. Leadership described the change as "significant".

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"The dashboard has become part of how we manage Monday mornings." — Catherine Ho, Head of Analytics
Challenge

A property management firm in Wan Chai was experiencing high onboarding time for new operations staff — typically 8 to 10 weeks before staff felt confident using the internal ticketing and inventory system.

Solution

Conversational AI interface layered over the existing system, allowing staff to query inventory, raise tickets, and generate summary reports via natural language. Integrated with existing SSO and role-based access. Delivered in eight weeks.

Results

Onboarding time for new operations staff reduced from approximately 9 weeks to around 3.5 weeks. Support requests from staff dropped by roughly 60% in the three months following deployment.

MT
"People can just ask what they need." — Michael Tong, Operations Director
Challenge

A financial services technology team in Central was planning to deploy an AI-assisted credit scoring feature and wanted to ensure the team had a shared understanding of the ethical risks — before development began.

Solution

A half-day AI Ethics Workshop tailored to financial services and specifically the context of credit scoring. Covered algorithmic bias, proxy discrimination, transparency with customers, and regulatory considerations. All participants received a workbook.

Results

The team identified two feature approaches that could introduce proxy bias — and removed them before development started. The ethical framework from the workbook is now referenced in all subsequent feature briefs for AI-related work.

AY
"Not a checkbox exercise." — Amanda Yuen, Technology Lead

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