4Sight thinks the biggest AI opportunity looks very different from what most investors expect. Here's the growth story they're betting on.
AI has quickly become one of the most discussed themes in technology and investing. Yet many businesses are still trying to answer a more practical question:
How does AI actually create value?
For 4Sight, the answer starts with solving real operational problems.
Speaking with the EasyEquities community, CEO Tertius Zitzke described the company as a bridge between operational technology and traditional business systems. Connecting those worlds is data, which increasingly serves as the foundation for AI-driven automation.
What Does 4Sight Actually Do?
4Sight operates across several technology clusters:
The company also acts as a major distributor for global technology vendors such as Microsoft and Sage, supporting more than 1,100 partners across its operating regions.
This positions the business at the centre of a growing demand for digital transformation across industries.
One of the more interesting perspectives shared during the discussion was 4Sight's focus on what it calls "automated intelligence."
Rather than viewing AI as a futuristic tool, the company sees it as a way to automate routine tasks and free employees to focus on higher-value work.
A practical example comes from recruitment. Instead of manually reviewing hundreds of CVs, AI systems can evaluate candidates against job specifications, shortlist suitable applicants and even help schedule interviews. Human oversight remains essential, but much of the administrative workload can be reduced.
The broader goal is productivity.
Businesses are increasingly looking for ways to automate repetitive processes while enabling employees to spend more time on decision-making, customer engagement and innovation.
4Sight's latest results reflected both growth and operational leverage.
Revenue increased by 16.3%, while headline earnings grew by 46.1%.
Part of that growth came from acquisitions, including the contribution from XFour, but management also highlighted improvements in efficiency and cost management across the business. As the company moves further into enterprise and corporate markets, it is also able to deliver larger and more sophisticated solutions.
For investors, this widening gap between revenue growth and earnings growth suggests the business is scaling more efficiently over time.
Technology businesses often become more predictable when recurring revenue increases.
4Sight generates substantial revenue from software subscriptions, services and ongoing customer relationships. Management also believes the traditional software licence model is gradually being replaced by usage-based pricing and AI-driven service models.
In simple terms, customers are increasingly paying for outcomes and usage rather than purchasing software outright.
This shift could support longer-term recurring revenue growth while strengthening customer retention.
When discussing acquisitions, management repeatedly returned to two priorities:
Rather than acquiring businesses purely for scale, 4Sight looks for specialist teams, proprietary technology and capabilities that fit within its broader ecosystem. Cultural alignment also remains an important consideration.
As AI adoption accelerates, access to skilled technology professionals may become one of the company's most valuable competitive advantages.
Several opportunities stood out during the discussion.
The first is the continued development of AI-powered agents that can automate increasingly complex business processes.
The second is the expansion of proprietary software and intellectual property that can be delivered through software-as-a-service models.
The third is broader African growth. While South Africa remains the largest contributor to revenue, management highlighted opportunities across East and West Africa, supported by the company's partner network and technology distribution capabilities.
Management identified cybersecurity and data sovereignty as two of the most important themes shaping the future technology landscape.
As businesses generate more data and rely more heavily on cloud infrastructure, questions around data ownership, security and resilience become increasingly important.
For technology providers, these challenges create both responsibility and opportunity. Organisations need trusted partners to help secure systems, manage data and navigate increasingly complex digital environments.
Foresight's story is increasingly about more than software implementation or technology distribution.
The company is positioning itself at the intersection of data, AI, automation and enterprise technology, while continuing to grow through recurring revenue, acquisitions and intellectual property development.
Whether that strategy translates into sustained long-term growth remains to be seen. What is clear is that management sees the next phase of technology adoption as less about replacing people and more about helping businesses become more productive, efficient and adaptable.
As AI continues moving from experimentation into everyday business operations, that may prove to be an increasingly valuable place to be.
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