Keshmahinder Singh-Asia's Best Business Leaders 2026

Artificial intelligence may be the defining technology of today, but Keshmahinder Singh recognised its potential long before it entered mainstream business conversations. At a time when AI was largely confined to research labs, he saw its potential to solve real business problems rather than remain a technical curiosity. That conviction laid the foundation for Kollect Systems Sdn Bhd, where he has spent decades building enterprise solutions that deliver measurable business outcomes.

Throughout his entrepreneurial journey, Keshmahinder has navigated changing technologies, evolving customer expectations, and new business models without losing sight of one guiding principle: innovation only matters when it creates tangible value. From customer engagement and intelligent collections to governance, risk, and compliance, Kollect Systems has continuously adapted to meet emerging enterprise needs.

In this exclusive interaction with TradeFlock, Keshmahinder reflects on his entrepreneurial journey, the early lessons that continue to shape his leadership, the evolution of AI in business, and why adaptability remains the defining quality for building enduring technology companies.

What drew you from your family business background into technology, and how did that choice shape your journey?

I grew up in a family of entrepreneurs where joining the textile business was the expected path, but I chose technology instead, driven by its emerging potential. That decision was not immediately understood, and for a time I balanced both worlds while building my foundation in computing.

Studying in the United States in the late 1980s introduced me to artificial intelligence, and it completely changed how I viewed business problem-solving. Years of working with pioneers in AI and analytics, followed by the opportunity to represent the industry at the conclusion of Singapore’s national AI programme, reinforced that I had chosen the right path.

How did your journey into AI-powered collections and customer engagement begin?

It happened quite organically. We never set out to build a company focused on collections. In the early years, we developed CRM systems, workflow automation, and knowledge-based applications for organisations like Shell Malaysia and the national electricity utility. We often joked that we had “a solution looking for a problem”. We understood AI’s potential but were still searching for the right business application.

That opportunity came when Malaysia’s largest telecommunications provider asked us to improve its collections process. By combining AI, CRM, and predictive analytics, we transformed a traditionally rigid function into an intelligent, data-driven operation. The success of that project quickly attracted banks and other financial institutions, ultimately laying the foundation for Kollect Systems and the AI-powered customer engagement business we have built today.

How do you see your role evolving in the years ahead?

I see my role evolving across three dimensions. As an entrepreneur, the focus remains on scaling across Asia-Pacific, India, and the Middle East through partnerships, market expansion, and selective strategic milestones. Alongside this, mentoring next-generation founders has become increasingly important, sharing lessons from both successes and failures to help them avoid common pitfalls and build stronger ventures.

I also want to support startups leveraging open-source and open-weight AI models. Beyond business, I hope to contribute more to education and community development, staying closely engaged with the pace of technological change.

What early lessons from building your company still guide you today?

The most important lesson I learned was the power of differentiation. Customers rarely care about the technology behind a solution. They want solutions that solve business problems, reduce costs, improve efficiency, and deliver measurable value.

A defining influence came from American Express in the 1990s, when it introduced a charge card without a fixed credit limit. While it appeared risky, advanced analytics continuously assessed spending patterns and managed risk in real time. What impressed me was not the technology itself, but how it enabled a bold business strategy.

That insight shaped our own approach. Instead of competing on features, we focused on outcomes. In markets like Malaysia and Singapore, where enterprise CRM platforms were often expensive, we bundled software with implementation, training, and support into a single offering. It created simplicity and trust. Although delivery models have evolved to SaaS and usage-based pricing, the principle remains unchanged: adapt to customer needs, not the other way around.

How are you leveraging AI today, and where is it delivering the greatest impact?

AI is now embedded across our platform ecosystem, driving both customer engagement and operational intelligence. One of the biggest advances is conversational voice AI. We have moved beyond automating outbound calls to intelligently deciding who to contact, when to engage, and which channel is most likely to deliver the best outcome. The system understands intent, adapts to responses, and communicates naturally across multiple languages.

In one large banking deployment, it manages hundreds of thousands of customer interactions every month, delivering nearly 70 per cent workforce optimisation while improving consistency, compliance, and customer experience.

Strict banking regulations also influenced our design. Rather than asking customers to change their processes, we engineered the platform, so all voice data, transcriptions, and interaction records remain within the bank’s own infrastructure.

Beyond customer engagement, we apply machine learning across collections, risk management, and compliance, while generative AI is enabling multilingual conversations and intelligent document processing to streamline enterprise workflows.