Generative AI has rapidly moved from novelty to operational tool. Many South African businesses are already using it in some form, often quietly and without any formal policy framework. From a legal advice perspective, what stands out is not just the speed of adoption, but the uneven way in which companies are approaching implementation, governance and risk.
Some organizations have approached GenAI intentionally and are already seeing measurable value. Others are still experimenting and trying to understand where it fits. Both groups are facing similar legal and operational questions.
Where businesses are using GenAI
Most of the businesses we advise are deploying GenAI in practical, low-friction ways. Common use cases include drafting internal communications, summarizing large amounts of documents, supporting customer engagement workflows, and improving reporting efficiency.
In professional services environments, teams are using tools like Microsoft CoPilot and ChatGPIT Enterprise to assist with research, first-draft preparation, and knowledge management. The value comes from time saved rather than cost eliminated. Teams complete routine tasks faster, allowing professionals to focus on higher-value work.
Where GenAI deployments work well is that they are structured. Companies typically limit access at the beginning, define acceptable use cases, and require human oversight on output. Where deployments struggle, the common issue is a lack of internal governance rather than technology.
Model, observe and internal leadership
Across sectors, most South African businesses are using established enterprise-grade platforms rather than creating their own models. Microsoft Copilot is popular because it integrates easily into existing workflows, while enterprise versions of ChatGPT are often used where organizations want more flexibility.
Few medium-sized businesses currently have a dedicated AI lead. Instead, responsibility often sits between IT, legal, and risk functions. In our experience, the most effective deployments involve collaboration between these areas from the start. Without that alignment, businesses risk rolling out tools before they understand their compliance obligations.
From a legal perspective, concerns generally center on privacy, data security, and accountability for outputs. Organizations should be clear about what information can be uploaded to AI systems and how outputs are reviewed before use.
Measuring Value and Return on Investment
Most organizations are still working out how to measure the return on investment of GenAI. Unlike traditional technology investments, the benefits are often indirect. They are reflected in improved productivity, faster turnaround times and less operational friction.
Some businesses track time saved on specific workflows or monitor improvements in response time and service delivery metrics. Others are taking a more cautious approach and focusing on governance before quantifying financial returns.
The absence of a clear ROI framework has not slowed its adoption. In many cases, companies view GenAI as an operational necessity rather than a discretionary investment.
Legal and cyber risk considerations
The legal risks associated with GenAI are often underestimated. Businesses need to consider how AI tools tie in with existing obligations under laws such as the Personal Information Protection Act and the Cyber Crime Act.
In practice, the most immediate risks relate to data exposure and misuse. Employees may inadvertently upload confidential information to external systems or rely too heavily on outputs that require verification.
From a cyber risk perspective, the increased use of AI also expands the attack surface for organizations. For example, phishing attacks are becoming more credible as criminals use AI tools to refine language and impersonation techniques.
These risks reinforce the need for clear internal policies, employee training, and ongoing oversight.
A practical way forward
For most South African businesses, the case for GenAI is not a theoretical one. The question is not whether to adopt it or not, the question is how to do it responsibly.
Organizations that see the most value are those that take a measured approach. They start with defined use cases, involve legal and risk teams early, and implement clear guardrails before adoption.
GenAI is unlikely to replace professional judgment – used correctly, it supports it. For businesses prepared to manage both opportunity and risk, the technology is already delivering solid value.
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