Client experiences with Usaha AI

What Our Clients Tell Us After the Work Is Done

We let client feedback speak plainly. The experiences below reflect what we heard from organisations across Malaysia following completed engagements.

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4.8 / 5
Average Client Rating
120+
Completed Engagements
8 yrs
In Malaysian Market
91%
Return Engagement Rate

Feedback from Across Malaysia

"Before this engagement, our customer success team was working from instinct and experience alone. The dashboard gave them something concrete to act on — and within the first quarter, the conversations they were having with at-risk accounts changed noticeably."

FH

Faizal Harun

Head of Customer Success · SaaS platform, KL

January 2026

"We had been talking about building an AI sandbox for over a year but never had the internal bandwidth to do it. Usaha AI handled the infrastructure setup and the governance documentation, and our IT lead was comfortable with everything they put in place. It would have taken us months to get to the same point."

TW

Tan Wei Liang

CTO · Financial services firm, Petaling Jaya

February 2026

"The knowledge management system has made a real difference to how our new hires get up to speed. What used to require weeks of shadowing and asking the right people the right questions is now searchable. Not everything, but enough that the difference is visible."

NB

Nurul Bashira

People & Learning Manager · Professional services, KL

March 2026

"What struck me most was how direct the team was about what our data could and couldn't support. Most consultants oversell. Usaha AI scoped the project around what was realistic and delivered on that. That kind of honesty is not common."

SK

Suresh Kumar

Operations Director · Telco, Shah Alam

December 2025

"The sandbox environment gave us a structured way to experiment. Before this, our data team would spin up ad hoc environments that nobody else in the organisation knew about or could access. Now there's a governed space and a process, and our compliance team is actually supportive of AI work for the first time."

AM

Aishah Mahmod

Head of Data · Insurance company, KLCC

January 2026

"Our document library was a running joke internally. Thousands of files, nobody knew what was current, nobody knew where anything was. The system they implemented is not perfect — some older content needs cleaning up — but the key operational documents are now actually findable. That's already a significant change."

ZR

Zulaikha Rashid

Knowledge Manager · Legal firm, Bangsar

February 2026

Three Engagements in Detail

Customer Retention Modelling KL-based SaaS company · 4 weeks

The Challenge

A subscription business was losing customers at a rate that they could observe in aggregate but not predict at the individual account level. Retention efforts were generalised rather than targeted, which meant resources were spread thin.

What We Did

We integrated two years of customer behaviour data, engineered features around engagement patterns, usage frequency, and support interactions, then built a churn prediction model with an operational dashboard designed for their customer success team.

The Outcome

The team could identify the highest-risk accounts each week and prioritise outreach accordingly. Three months after delivery, the client reported that targeted retention conversations were converting at a higher rate than their previous generalised approach.

"The model doesn't give us certainty — it gives us direction. That's what we actually needed." — Faizal Harun
AI Sandbox Environment PJ-based financial services firm · 3 weeks

The Challenge

The data team wanted to explore large language model applications for internal reporting, but IT and compliance were uncomfortable with the idea of data being sent to external AI systems without governance oversight.

What We Did

We provisioned a private sandbox environment with access controls, pre-loaded anonymised datasets, and documentation covering permitted uses, data classification, and incident response procedures. All configuration was reviewed with the IT and compliance teams before handover.

The Outcome

The data team had a functioning, governed space to experiment within two weeks of project start. Compliance signed off on the framework. Within the following month, the team had built two internal proof-of-concept tools that were being reviewed for broader rollout.

"Compliance being comfortable was the blocker. Once that was resolved, everything else moved quickly." — Tan Wei Liang
Knowledge Management Bangsar legal firm · 9 weeks

The Challenge

A legal firm had accumulated thousands of precedent documents, internal guidance notes, and client correspondence over fifteen years. New hires and junior staff depended on senior colleagues to locate relevant material, which created bottlenecks and slowed onboarding.

What We Did

We worked with the firm's knowledge team to design a practice-area taxonomy, ingest and index priority document categories, and deploy a semantic search interface integrated into their existing intranet. Staff training was delivered across two offices.

The Outcome

Senior staff reported a noticeable reduction in internal knowledge queries within the first month. New hire feedback on access to guidance materials improved. The firm is now working on a second phase to extend the system to client engagement records.

"The key documents are now actually findable. That's already a significant change." — Zulaikha Rashid

Speak Directly with Our Team

We're available Monday through Friday, 9 AM to 6 PM, and on Saturday mornings.

61 Jalan Pudu, 55100 Kuala Lumpur, Malaysia

Professional Affiliations

MSC Malaysia

Technology Status

MDEC Listed

Service Provider

ISO 27001

Aligned Practices

PDPA Compliant

Data Handling

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