Client satisfaction

Client Perspectives

What our clients
have found.

We share these experiences because they reflect the kind of work we aim to do β€” not perfect, but considered, clear, and genuinely useful.

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4.8

Average client rating

60+

Completed engagements

94%

Clients who recommend us

5yr

Active in Hong Kong market

Client Reviews

In their own words.

KW

Karen Wong

Head of Reporting, Asset Management

"We were spending roughly two days each month pulling together our investment committee report. Aphelion built a system that gets us to a draft in a few hours. The first iteration wasn't quite right β€” the narrative tone felt slightly off for our audience β€” and they adjusted it promptly based on our feedback. It's been running cleanly for four months now."

January 2026 Β· Automated Report Generation

DC

David Cheung

Marketing Director, E-Commerce Platform

"We had broad customer categories that weren't really telling us anything useful. Aphelion's segmentation work surfaced five distinct clusters we hadn't identified β€” including a high-value cohort we'd been under-serving. The profiles were specific enough that our content team could act on them immediately. The process took about four weeks and the communication throughout was clear."

December 2025 Β· Customer Segmentation

PL

Priya Lakshmanan

Chief Risk Officer, Insurance Group

"We commissioned the Responsible AI Assessment because our board wanted assurance about a claims-processing model we'd deployed. The report was direct, well-structured, and β€” importantly β€” useful. It identified two fairness concerns we hadn't been monitoring, and the recommendations were practical rather than theoretical. Sunita led the work and clearly knew what she was doing."

January 2026 Β· Responsible AI Assessment

JH

James Ho

Operations Manager, Logistics Firm

"The automated reporting system has saved my team several hours each week on client updates. The setup took longer than we initially expected β€” our data was messier than assumed β€” but Aphelion handled that honestly. They flagged the issues early and worked through them with us. The final system is straightforward to use and maintain."

November 2025 Β· Automated Report Generation

MT

Michelle Tam

VP Product, Financial Services Startup

"We came to Aphelion at a moment when we needed to understand whether our onboarding model was treating applicants fairly. The assessment was conducted with sensitivity β€” they understood the regulatory context we operate in and the implications of their findings. The report gave us clear actions and the confidence to have a productive conversation with our board about AI governance."

January 2026 Β· Responsible AI Assessment

RN

Raj Nair

Head of Customer Insight, Retail Group

"Good experience overall. The segmentation work was solid and the team communicated clearly throughout. We particularly valued the engagement approach descriptions β€” they were specific enough to be usable without being prescriptive. I'd have liked slightly more depth in the final documentation, and they were responsive when I raised that."

December 2025 Β· Customer Segmentation

Project Stories

Three engagements, in brief.

Challenge

Monthly Regulatory Filings

A licensed financial firm in Central was spending four to five days each month compiling regulatory performance reports. The process was manual, error-prone, and consumed senior analyst time that could be better applied elsewhere.

Solution

Aphelion built an automated pipeline that extracts data from three internal systems, applies the firm's standard analytical logic, and produces a formatted draft report aligned with regulatory templates. The team reviews and approves the draft before submission.

Outcome

Report preparation time dropped from four to five days to under one day. Error rate in initial drafts fell significantly. Senior analysts redirected the recovered time to client-facing work. System delivered in seven weeks.

Challenge

Undifferentiated Customer Base

A digital retail platform with over 200,000 registered users was sending the same campaign communications to their entire list. Engagement rates were declining. The marketing team knew their customers behaved differently but lacked the tools to act on that knowledge.

Solution

Aphelion analyzed twelve months of behavioral data to identify six distinct customer segments, each with a detailed profile, key behavioral markers, and tailored engagement recommendations. A refresh schedule was agreed to update the model quarterly.

Outcome

Within two campaign cycles using the new segmentation, email engagement rates improved across four of the six segments. The highest-value segment β€” previously merged into a broader group β€” received targeted offers that lifted conversion meaningfully.

Challenge

Pre-Deployment AI Governance

An insurance company preparing to expand its AI-assisted underwriting to a new product line needed an independent assessment of their existing model before board approval. Internal teams lacked the framework to conduct a credible fairness and accountability review.

Solution

Aphelion conducted a Responsible AI Assessment covering bias analysis across protected demographic attributes, explainability of the model's decision logic, and data governance practices. The report was structured for a non-technical board audience.

Outcome

The assessment identified three findings requiring attention before deployment. All three were addressed within the planned timeline. The board approved expansion with a documented governance framework in place. Assessment completed in sixteen working days.

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