Client Experiences
What Our Clients Say
Feedback from organisations across Malaysia who have engaged Sinergi Labs for AI integration consulting and training.
Back to Home47+
Organisations Served
4.8
Average Client Rating
94%
Would Recommend Us
6+
Years in Practice
Client Reviews
Feedback from Our Clients
"The vendor evaluation process was far more structured than anything we had attempted internally. Sinergi Labs helped us articulate requirements we hadn't consciously identified, and the scoring framework held up well through contract discussions with two shortlisted vendors."
Rizwan Hakim
CIO, Financial Services — Kuala Lumpur
February 2026
"We came in with a fairly vague idea of what an AI-enhanced training platform might look like. The specification document we received at the end of the engagement gave us something concrete to present to our technical team and to three platform vendors. The process took longer than I expected, but the output was solid."
Siti Latifah
Head of L&D, Manufacturing Group — Shah Alam
January 2026
"Our demand planning team had been using basic statistical models for years. The forecasting workshop introduced techniques that were meaningfully better without requiring a full rebuild of our data infrastructure. The trainer understood our business context, which made the examples land properly."
Teh Kok Wei
Supply Chain Manager, FMCG — Petaling Jaya
December 2025
"What stood out was that the advice we received wasn't shaped by any agenda to sell us a particular vendor. They actually recommended we hold off on one category of tool entirely because our data infrastructure wasn't ready. That kind of honesty is uncommon in the consulting market."
Nurul Ain
Procurement Director, Property Group — KLCC
January 2026
"The workshop structure was well thought out. We had a mixed group — some technically confident, some not at all — and the facilitator managed the range without making anyone feel left behind. We came away with reference materials our analysts still consult on a regular basis."
Jocelyn Raj
Analytics Lead, Insurance — Damansara
November 2025
"We had previously worked with two larger consultancies on AI-related projects. The difference with Sinergi Labs was that the people who presented during the pitch were the same people who did the work. It sounds basic, but it's not the norm."
Zulkifli Ahmad
CEO, Professional Services Firm — Mont Kiara
February 2026
In More Depth
Selected Case Studies
Challenge
A mid-sized logistics company was running demand planning on static Excel models. Forecast accuracy was around 62%, leading to persistent inventory imbalances and manual intervention cycles that consumed significant analyst time each week.
What We Did
Delivered a two-day Time-Series Forecasting Workshop tailored to the organisation's SKU structure and data environment. The curriculum covered model selection, seasonal decomposition, and confidence interval communication for non-technical stakeholders.
Outcome
The team implemented revised forecasting models within six weeks. Forecast accuracy improved to 79% across the highest-volume SKUs within one planning cycle. Manual intervention frequency reduced by approximately 40%.
"We expected to be sold a software tool. Instead we came away with a method our own team can apply and adjust." — Supply Chain Manager, Logistics, Klang Valley. December 2025.
Challenge
A regional professional services group with 800+ employees had a disconnected training infrastructure — three separate platforms, inconsistent content standards, and no data on which learning pathways were producing competency improvement.
What We Did
Conducted an AI-Integrated Training Platform Design engagement over six weeks. Produced a unified platform architecture specification incorporating adaptive learning paths, knowledge gap identification logic, and a consolidated analytics reporting framework.
Outcome
The specification document was used to issue an RFP to four LMS vendors. Selection completed within eight weeks. The organisation reported that the vendor evaluation process was substantially more efficient than comparable past technology selections.
"The platform specification gave our internal team and our vendors a shared language. That alone was worth the engagement." — Head of L&D, Professional Services, KL. January 2026.
Challenge
A financial services firm's IT leadership team needed to evaluate four AI-powered document processing vendors within a compressed 10-week procurement window. Internal team lacked the technical depth to assess vendor claims independently.
What We Did
Delivered our AI Vendor Evaluation Advisory service within the client's procurement timeline. Built a requirements framework through structured workshops, designed a POC using representative client documents, and produced a scored evaluation report for all four vendors.
Outcome
The evaluation identified one clear frontrunner and one vendor whose implementation track record in Malaysia was significantly weaker than their sales materials suggested. Contract negotiations proceeded with clear leverage on pricing and SLA terms.
"We avoided a vendor selection that would have been a poor fit. That outcome alone justified the advisory fee many times over." — CIO, Financial Services, Kuala Lumpur. February 2026.
Get in Touch
Reach the Sinergi Labs Team
Phone
+60 3-6491 8327Office
29 Jalan Ara, Bangsar, KL
Hours
Mon–Fri 9AM–6PM
Ready to Start a Conversation?
If you'd like to explore whether Sinergi Labs might be able to support your organisation's AI journey, we'd be glad to hear from you.
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