Client Satisfaction
Client Voices

What Our Clients Say About Working With Us

Authentic accounts from Singapore organisations who have completed AI feasibility studies, learning programmes, and embedded consulting engagements with Peranaq Edge.

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140+

Engagements Completed

4.8

Average Client Rating

900+

Employees Trained

78%

Repeat Engagement Rate

From the Organisations We Have Worked With

CL

Christine Loh

Head of Operations, Logistics Firm

Central Singapore

We engaged Peranaq Edge for the feasibility study when we were not sure whether AI was the right direction for our document handling processes. The study was thorough — not a general overview but something genuinely shaped around our situation. The scenario-based recommendations gave our leadership team the structured comparison they needed to make a decision with confidence. Worth the time investment.

February 2026

RM

Rajan Menon

Director, Financial Advisory Practice

Raffles Place, Singapore

We put thirty-two staff through the Applied AI Learning Pathway. My concern going in was that the more technical content would leave some of the team behind. That did not happen — the programme design was genuinely thoughtful about the different starting points participants brought. By the capstone phase, people were using AI tools in their daily work in ways that felt natural rather than forced. The peer discussion groups were particularly effective.

January 2026

TA

Tan Ai Lin

VP Technology, Insurance Company

Tanjong Pagar, Singapore

The Embedded Consulting engagement took about fourteen weeks end to end. The discovery phase was longer than I expected but I understand now why they insist on it — it shaped the architecture significantly. The knowledge transfer at the end was handled well, and our internal team genuinely felt ready to take over maintenance. One area for improvement would be more frequent informal check-ins during the development phase, but the formal milestones were well-managed.

February 2026

MH

Marcus Ho

General Manager, Professional Services

Orchard, Singapore

We did not know whether to start with the feasibility study or jump straight into training. The team at Peranaq Edge took the time to understand our situation before recommending the study first. That turned out to be the right call — it clarified a few assumptions our leadership had made about AI readiness. The study report was well-structured and something we referenced for months afterwards in internal discussions.

February 2026

NK

Nadia Krishnan

HR Director, Manufacturing Group

Jurong, Singapore

Running the learning pathway for a mixed team — engineers, admin staff, and managers together — was something I was nervous about. The facilitators handled the different experience levels with patience and without making anyone feel behind. By the end of phase two, even the staff who had been most reluctant were asking questions about additional tools they could use. That shift in attitude was what I was hoping for.

January 2026

JW

Jason Wee

CTO, Retail Tech Startup

one-north, Singapore

We commissioned the embedded consulting engagement to build a customer sentiment analysis system. The approach was methodical and the architecture recommendations were sound. The one thing I would note is that the timeline ran about two weeks longer than the initial estimate — but that was partly due to complexity we surfaced during testing that was not anticipated. The handover workshops were excellent. Our team is maintaining and iterating on the system now without needing to come back to Peranaq Edge, which was the goal.

February 2026

Selected Engagement Outcomes

Document Processing Backlog

A Singapore logistics company was processing over 800 shipping documents per day manually. Errors were common and the team was stretched. Leadership wanted to understand whether AI could help before committing to any technology investment.

Feasibility Study Then Embedded Build

Peranaq Edge conducted a six-week feasibility study identifying intelligent document processing as the highest-value AI application. Following leadership approval, a sixteen-week embedded consulting engagement designed and deployed an automated extraction and routing system.

Measurable Reduction in Manual Work

Document handling time reduced by 62% within the first month of deployment. Error rate on extracted data dropped significantly. The internal team took over maintenance independently after the handover workshops with no external support required.

Timeline: 22 weeks total (study + consulting)  ·  Services: Feasibility Study + Embedded Consulting

Uneven AI Awareness Across Teams

A financial services firm noticed growing disparity between how different teams were engaging with AI tools. Some staff were using AI effectively; others were uncertain how to use it at all. Leadership wanted consistent, thoughtful capability across the organisation.

Applied AI Learning Pathway

Forty-seven staff across four departments completed the Learning Pathway over nine weeks. Cohorts were structured to mix departments, encouraging cross-functional discussion. Content was adapted to include examples relevant to financial services workflows and PDPA considerations.

Cohort-Wide Capability Uplift

Post-programme assessment showed improvement in AI tool proficiency across all participant levels. Peer discussion groups continued informally after the programme ended, which the firm viewed as a sign of genuine culture shift rather than one-off training compliance.

Timeline: 9 weeks  ·  Service: Applied AI Learning Pathway

Internal Knowledge Retrieval Inefficiency

A professional services firm with a large document library was finding that staff spent excessive time searching for relevant precedents and internal guidance. Knowledge was there but hard to locate quickly in a growing archive.

Internal Knowledge Retrieval System

Following a feasibility study that confirmed the opportunity, Peranaq Edge designed and built an AI-powered knowledge retrieval system integrated with the firm's existing document management environment. Staff could query the archive in natural language and receive relevant excerpts with source references.

Time Saved on Knowledge Tasks

Staff reported spending substantially less time on document searches — time that was redirected to analysis and client work. The system has since been extended to include additional document categories, managed entirely by the firm's internal team.

Timeline: 20 weeks total  ·  Services: Feasibility Study + Embedded Consulting

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Credentials and Affiliations

Singapore Computer Society

Corporate member, AI Interest Group

IMDA Pre-Approved Provider

AI and digital upskilling programmes

PDPA Compliant Operations

All engagements conducted under Singapore data protection standards

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