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Why AI without the Human Element will be just a management pleaser

By Norihiro Katagiri, Senior Vice-President, Canon (Singapore) | Wednesday, April 30, 2025, 11:34 AM Asia/Singapore

Why AI without the Human Element will be just a management pleaser

Leaders capitalizing on AI without human empathy risk achieving superficial gains, not genuine customer/staff loyalty or sustainable competitive advantages.

Businesses in South-east Asia (SEA) have already embraced AI, automation, and data-driven insights to enhance customer experience (CX).

However, as digital expectations continue to rise, merely integrating these technologies is no longer enough.

The focus is evolving from using AI primarily for efficiency, to leveraging its potential for deeper, more personalized customer relationships, where innovation and technology enhance human decision-making and creativity while enabling smarter automation.

Meeting rising digital-first expectations

Today, customers increasingly view the experience a company provides as being just as important as its products or services. Organizations across the region are recognizing that the entire customer journey is now a key competitive differentiator.

In this dynamic environment, technology serves as a strategic enabler, empowering businesses to streamline processes, enhance personalization, and deliver seamless, meaningful customer experiences.

AI, automation, and data-driven insights are transforming how firms engage with customers, enabling a future where technology amplifies human creativity and decision-making rather than replacing it.

Across industries such as healthcare, manufacturing, and logistics, AI-driven video analytics are transforming experiences with real-time alerts and anomaly detection, enabling swift responses while preserving the human touch.

  • In manufacturing and logistics, AI automates processes such as data extraction and comparison, boosting both efficiency and responsiveness. Blending AI with human decision-making is creating smarter, more connected, and secure experiences.
  • Security and convenience are also being enhanced through solutions such as facial recognition for access control and secure document management.

These technologies help ensure only authorized personnel access sensitive information, support sustainability by reducing paper usage, and reinforce trust-demonstrating how AI can elevate both operational excellence and customer satisfaction.

Practical strategies for leaders

For C-level and senior management, driving digital transformation and CX innovation requires more than just adopting new technologies. Consider these strategies:

  • Set a clear vision and align digital initiatives with business goals, ensuring buy-in across the organization, always with a human touch. Also, sustainability mandates with a smoother, more secure customer experience.
  • Foster a culture of innovation and agility by encouraging experimentation and learning from setbacks.
  • Blend AI-powered automation with human empathy. The best customer experiences are those that combine AI-powered efficiency with human empathy. A good example is AI-driven customer support, where chatbots handle routine queries while seamlessly escalating complex issues to human agents. When human agents step in, they do more than just resolve problems — they offer reassurance, empathy, and creative, personalised solutions. This seamless handoff between AI and humans ensures continuity and care, making customers feel genuinely understood, supported, and valued at every stage of their journey. Use chatbots for routine queries, but ensure seamless escalation to human agents for complex issues, so customers feel genuinely understood and supported.
  • Invest in employee training and change management: This will equip teams with the skills and confidence to adapt to new technologies.
  • Leverage real-time insights and continuous feedback from customers, using analytics to proactively refine offerings while maintaining the human element in interactions.  Businesses are no longer competing solely on product quality and price, but on the entire customer journey.
  • Break down silos and support cross-functional collaboration, appointing leaders or teams responsible for data and digital transformation to ensure alignment and avoid fragmented efforts. Enable a future where technology amplifies human creativity and decision-making rather than replaces it.

Building future-ready CX

The future of CX in the region lies in leveraging technology to enhance, not replace, human creativity and decision-making.

As digital expectations rise, organizations that move beyond traditional models — embracing predictive, hyper-personalized, and automated strategies — will be best positioned to build stronger, lasting customer relationships.

Editor’s note:

Further academic/non-commercial research resources on the topic of human-oriented and Responsible AI adoption:

  1. Auernhammer, J. (2020). “Human-centered AI: The role of human-centered design research in the development of AI.” Design Research Society Conference Papers.
  2. Ibrahim, M., et al. (2025). “Editorial: Human-centered artificial intelligence in interaction processes.” Frontiers in Artificial Intelligence, 8, Article 1597763.
  3. Chepkina, N., et al. (2024). “Human-centric AI adoption and its influence on worker productivity: An empirical investigation.” BIO Web of Conferences, 86, 01060.
  4. Xu, W., & Gao, Z. (2023). “Enabling human-centered AI: A methodological perspective.” arXiv preprint.

Matarese, M., Schmager, S., Pappas, I.O., & Vassilakopoulou, P. (2024/2025). “Understanding human-centred AI: A review of its defining elements.” Behaviour & Information Technology, 43(4).

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