Across the Asia-Pacific region, businesses are racing to keep up with advances in AI. With frameworks such as Singapore’s National AI Strategy 2.0, governments from Singapore to Australia to Japan are championing responsible AI in rapidly evolving national digital economies, setting out a vision for trusted, human-centered adoption. However, many organizations are still experimenting with generative AI without a clear governance and cultural framework.
Enthusiasm is growing, but there is still room for growth in terms of governance, skills and cultural maturity. Many organizations are still discovering the immense potential of AI, even as they struggle with how to implement it responsibly, ethically, and effectively.
A 2024 study by the IBM Institute for Business Value highlights this gap. 75% of CEOs worldwide agree that trustworthy AI is not possible without effective AI governance within their organizations, but only 39% say they have the right generative AI governance in place. In Southeast Asia, where AI is expected to add more than USD 1 trillion to the region’s GDP by 2030, many organizations are moving ahead with generative AI implementation despite incomplete frameworks due to the risk of being left behind in an increasingly competitive environment.
At the same time, cybercriminals continue to evolve in their sophistication. Deepfake scams and AI-powered phishing attacks are already causing millions of dollars in business losses in Asia. In one widely publicized incident, a Hong Kong financial official used deepfake technology to transfer more than US$25 million to a fraudster posing as a company’s CFO via video conference.
To safely and effectively navigate this new era, organizations must establish clear governance, operational frameworks, and cultural foundations that enable AI to deliver on its promise while protecting the business from risk.
Here are three steps companies can take to strengthen their governance and cultural frameworks to achieve sustainable AI success.
1. Establishing an AI governance system
Before embarking on a generative AI journey, organizations need to create a clear governance structure that aligns with both corporate values and local regulatory expectations. In markets like Singapore, this includes drawing insights from the Model AI governance framework and AI Verify testing toolkit, built to enhance responsible adoption.
A cross-functional governance or executive steering committee defines guidelines on how to leverage generative AI safely and reliably. This committee should include top-level business unit executives and representatives from legal, security, and IT to determine the best tools, platforms, and standards for your organization, and establish security, privacy, and legal foundations.
Without this oversight, the risk is doubled. Employees can enter sensitive data into public AI tools that are later used to train those systems, potentially exposing sensitive information. Legal risks are also rising, as companies face lawsuits over models trained on copyrighted or proprietary materials. The governance model ensures that contracts with AI vendors include strong indemnification and privacy protections to mitigate exposure.
Governance is not about killing innovation. It’s about creating an environment where employees can leverage generative AI to increase efficiency and safely innovate.
2. Achieve operational excellence with AI
Once the ground rules are established, the next step is to implement basic governance policies, generative AI tools, platforms, and standards. Working committees, or centers of excellence, can bring generative AI to life and continually improve its use across the organization.
This team develops common architectures, frameworks, and use cases that can be leveraged across the company within guides established by the governing board. Ideally, your AI platform should work with other technology platforms that are standardized across your organization. This approach allows employees to develop their own generative AI tools to use AI securely, keeping all data within the walls of the company and not being used to train external models.
This approach democratizes the use of generative AI, allowing both business users and IT teams to safely and effectively exploit its potential. Translating AI principles into actionable policies that organizations can implement effectively and responsibly is a major challenge. Governance provides a guiding roadmap, working committees provide the platform and tools, and culture ensures employee buy-in.
3. Build an AI culture from the bottom up and top down
It is the human element that brings AI culture to life. A strong AI culture works both bottom-up and top-down, with people at all levels sharing their passion and knowledge of AI.
This approach includes training the trainers, executive leadership training, event programs, and more. Employees receive dedicated generative AI training to improve their skills, deepen their fundamental understanding, and reduce their fear of new technology. Trained champions will share their expertise across teams, and leaders will model adoption by integrating generative AI into their jobs and encouraging their teams to do the same. By fostering a culture that fosters continuous learning, innovation, and shared responsibility, organizations can empower employees to confidently embrace generative AI and use it to drive meaningful impact.
Empower every employee with generative AI
Generative AI in business is not just for data scientists. Its capabilities improve productivity, creativity, and decision-making in every department, from marketing and finance to operations and customer service. As AI becomes more deeply integrated into business processes, it is essential that employees at all levels are equipped to navigate both the opportunities and risks. Governance structures and working committees can provide a generative AI roadmap that connects those working on this technology.
Training and awareness play a key role in helping employees understand how to use generative AI effectively and responsibly. When your staff is confident in using AI tools, they can focus on solving problems, increasing efficiency, and driving innovation instead of fearing the technology.
A clear governance structure and dedicated working committee will provide a roadmap to guide this transformation. Together, they can ensure your employees have the right frameworks, guardrails, and support to explore generative AI safely, collaboratively, and in line with your organization’s values.
