Client Experiences
What clients say
about working with us.
These are accounts from organisations who engaged Parallax across our three service areas. We've let the experiences speak for themselves.
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Engagements completed
4.8
Average client rating
91%
Return or referral rate
12
Industries served
Client Reviews
From the people who've worked with us
"We came in with a vague sense that AI could help us somewhere — but no idea where. The Process Mapping engagement gave us exactly what we needed: a clear picture of our operations and a ranked list of where AI could actually make a difference. Three months on, we've implemented the top two recommendations and the time savings are real."
Catherine Lau
Operations Director · Logistics firm, Kwun Tong
January 2026
"The language model we built with Parallax now handles the first-pass review of our client documents. What surprised me was how much time went into understanding our content before a single line of model training happened. That preparation showed — the output was relevant from day one. The three months of post-launch support also made the difference when we needed adjustments."
Raymond Ng
Managing Partner · Legal services, Central
December 2025
"We were genuinely uncertain whether our data was good enough to be useful. The Analytics Advisory programme answered that question in the first session — and the answer was more nuanced than I expected. By the end, we had a working model and a much clearer understanding of what to invest in next. The pace was right for our team."
Michelle Chan
Head of Strategy · Retail group, Tsim Sha Tsui
January 2026
"What set Parallax apart was that they told us one of the things we wanted to build wasn't worth building — at least not yet. That kind of honesty saved us from a significant investment in the wrong direction. We appreciated the directness. The process mapping work itself was thorough and the final presentation was something we could actually put in front of the board."
Thomas Wong
CEO · Property management company, Kowloon
February 2026
"Our team is entirely non-technical — we had real concerns about how this would go. Marcus explained everything clearly at each step, and when we got confused he'd try a different angle rather than just repeating himself. The language model we ended up with handles enquiries in both English and Chinese, which is exactly what we needed. I'd recommend Parallax without hesitation."
Priya Menon
Customer Experience Manager · Financial services, Wan Chai
December 2025
"We'd tried a couple of other AI consulting firms and found the experience quite distant — lots of frameworks and methodology without much contact with our actual situation. Parallax was different. Small team, very hands-on, and they asked good questions. The predictive prototype they built wasn't perfect but it was honest about its limitations, which helped us understand what to do next."
James Kwok
COO · Professional services firm, Admiralty
January 2026
Case Studies
A closer look at three engagements
Case Study — Intelligent Process Mapping
Logistics firm reduces manual processing time
Challenge
A Kwun Tong-based logistics firm was spending over twelve hours per week on manual data entry and cross-referencing between their booking system and warehouse records. Senior staff were involved in tasks that felt well below the level of their expertise.
What We Did
Over four weeks, we interviewed six staff members, documented nine core operational processes, and identified three areas where AI-assisted automation was both feasible and worthwhile. We delivered a prioritised roadmap with technical specifications for each recommendation.
Outcome
Within three months of receiving the roadmap, the firm had implemented the top two recommendations using tools recommended in the deliverable. Manual processing time dropped by an estimated 70%. The third recommendation is planned for Q2 2026.
~70% reduction in manual processing time
Case Study — Custom Language Model Integration
Legal firm deploys bilingual document review assistant
Challenge
A Central law firm's junior staff were spending two to three hours per day on initial review of incoming client documents — identifying key clauses, flagging missing information, and summarising content for senior partners. The work was consistent enough to be a candidate for AI assistance, but required accurate handling of both English and Traditional Chinese text.
What We Did
After a thorough data discovery phase, we selected and fine-tuned a language model on the firm's historical document corpus. Integration was built into their existing document management platform. Staff training was completed over two sessions, and we monitored accuracy over the following three months.
Outcome
Document review time dropped from an average of two hours per file to under thirty minutes. Accuracy on clause identification was sufficient to reduce, though not eliminate, senior partner review at the initial stage. Staff reported the tool as a meaningful improvement to their working day.
2 hrs → under 30 min per document review
Case Study — Predictive Analytics Advisory
Retail group explores demand forecasting
Challenge
A Tsim Sha Tsui retail group's strategy team was managing inventory and promotional planning largely on experience and intuition. They wanted to understand whether their four years of transaction data could support more structured forecasting — but had no in-house data science capability.
What We Did
Over six sessions, we assessed the quality and completeness of their data, identified gaps, and built a working demand forecasting prototype for their top twenty product lines. Each session ended with a written summary. The final report outlined what would be needed to extend the model to their full catalogue.
Outcome
The prototype demonstrated meaningful forecasting accuracy for seasonal demand patterns. The team chose to continue with a follow-on project — but the advisory programme gave them confidence in that decision and a clear brief for what they needed. They reported that the sessions alone had changed how they thought about their data.
Decision made with evidence, not assumption
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Credentials
Professional standing
APAC AI Excellence Recognition
SME Advisory Category · 2024
HKPC Approved Consultancy
Hong Kong Productivity Council · 2023
ISO 27001 Certified
Information Security · Renewed 2025
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