How companies are integrating AI into their operations: Three case studies

What do a professional services firm, a cybersecurity provider, and an urban development group have in common?

The answer: they've successfully operationalised AI and have been able to quantify the gains.

At a special partner panel hosted at the AWS Innovation Hub in June, leaders from Accenture, Mindsprint, and SJ Group each shared unique perspectives on how they are leveraging technology. We pull out some takeaways from the conversation.

Mark Tham, Country Managing Director for Accenture Singapore, framed the discussion around “reinvention.” At Accenture, he explained, reinvention means more than incremental improvement—it’s a fundamental redesign of how businesses operate, enabled by a digital core built on cloud, AI, and data. According to Tham, this approach is helping organisations reimagine how they deliver value, interact with customers, and manage internal operations. Internally, Accenture has seen up to 25% productivity gains by integrating generative AI into corporate functions.

Accenture also showcased two major solutions at the Innovation Hub. The first is a next-generation digital identity platform inspired by Singapore’s Smart Nation strategy. This solution enables secure, seamless interaction between governments and citizens and serves as a model for other nations in the region. The second is a responsible AI governance tool, designed to help organisations implement AI ethically and safely. By providing frameworks for compliance, risk assessment, and workforce impact, this platform makes it easier to scale AI use responsibly.

Mindsprint CEO and co-founder Suresh Sundararajan offered a different but equally compelling perspective. His company, which grew out of the Olam Group, has embraced the transition from a pure services model to a platform-driven one. For Suresh, one of the most exciting aspects of recent technology shifts is the ability to put powerful tools directly into users’ hands. Rather than relying on IT teams for every report or analysis, employees can now query data in real time through familiar interfaces like Microsoft Teams, thanks to integrations with backend systems like SAP. This democratisation of computing, Suresh argued, is one of the clearest examples of force multiplication in action.

At the AWS Innovation Hub, Mindsprint presented two key solutions. The first, a smart farm management system, helps smallholder farmers manage their crop cycles with mobile tools, even in regions with low connectivity. The second addresses a growing need for supply chain transparency: a traceability platform that meets new European Union regulations requiring farm-level documentation for key commodities. The platform, integrated with major enterprise systems, supports global agricultural compliance and storytelling alike—both critical for today's conscious consumers.

Beyond external innovation, Mindsprint has made a strong internal commitment to AI literacy. Over 98% of its employees have completed generative AI training, and the company has curated a suite of 22 AI tools to boost productivity across roles—from marketing and finance to software development. Suresh also shared the development of proprietary platforms like Mindverse for generative applications and DevXtreme for faster code delivery. Yet he cautioned against using technology for technology’s sake, warning of the danger in “inventing problems” rather than solving real ones.

Teo Say Leng, Executive Director of Digital Technology at SJ Group, brought a human-centred view to the conversation. With a portfolio spanning architecture, engineering, and infrastructure management, SJ Group faces diverse challenges. In sectors like healthcare and security, AI has become a powerful enabler of efficiency. For instance, generative AI tools now help urban planners create design concepts in seconds—work that previously took weeks. In command centres, where operators monitor thousands of CCTV feeds, SJ Group has implemented AI-driven systems that analyse incidents, pull relevant procedures, and guide responses. These solutions have already cut manpower requirements by 23%.

But for Teo, AI’s promise isn’t just about efficiency—it’s about safety, culture, and sustainability. Whether it’s tracking the health and location of ground staff in real time or helping architects optimise construction timelines, AI is playing a growing role in addressing labor shortages and cost pressures across Asia. Yet, Teo stressed, technology adoption must be paired with trust and cultural readiness. SJ Group has worked hard to cultivate a learning culture—where employees not only receive training but also embrace change as a way to improve their daily work and wellbeing.

Tham noted that organisations in the region are grappling with how to balance AI-driven transformation with workforce impact. Some leaders are committed to reskilling over redundancy, while others prioritise top-line gains. Across the board, however, there is a pressing need to boost AI literacy and rethink how skills are developed—often faster than academic institutions can adapt.

Accenture’s approach includes predictive skills mapping, global-to-local training pipelines, and a belief in being a “net talent creator.” Meanwhile, SJ Group has taken a holistic approach—pairing digital training with cultural transformation, ensuring that AI is seen not as a threat but as a tool for safer, more fulfilling work.

What emerged clearly from the panel is that technology is only part of the equation. Real transformation happens at the intersection of people, process, and platforms. And with organisations like Accenture, Mindsprint, and SJ Group leading the charge, APAC companies are well-positioned to shape the next wave of global innovation.