4Sight Holdings believes the next phase of enterprise artificial intelligence will be less about chatbots and more about rebuilding how businesses actually work.

The South African technology group, listed on the Johannesburg Stock Exchange (JSE), has reshaped its executive leadership around that vision, appointing Clark Fourie as chief information technology officer, Jeandré du Randt as chief business environment officer, and Essich Wassenaar as group frontier operations officer.

The appointments form part of 4Sight's effort to turn its proprietary 4Sight Automated Intelligence (4AI) platform into a broader engine for automating business processes. The company says its AI transformation rests on four pillars: data, process, training and change.

Rather than treating AI as another software layer that employees occasionally query, 4Sight sees it as technology that can design, execute and optimise the workflows underpinning a business. That framing places 4Sight within a broader industry shift, as enterprise software vendors and consultancies worldwide move their messaging from individual AI assistants toward "agentic" systems intended to carry out multi-step business tasks — a market where mid-sized African players are competing alongside global platforms.

"Artificial intelligence isn't really a good name for business automation. When we say AI at 4Sight, we mean 4Sight Automated Intelligence. It's about taking the automation of routine business processes forward by giant leaps," CEO Tertius Zitzke told TechCabal in an interview.

That means moving beyond businesses testing copilots, chatbots and individual AI agents without fundamentally changing how they operate. 4Sight says the new leadership structure is intended to help organisations move "beyond AI experimentation towards practical, intelligent solutions that deliver measurable business value."

For Zitzke, the starting point is not the AI model itself, but the data and processes businesses already have.

"At 4Sight, we focus on a holistic approach. The first thing is data structuring. Your processes must be mapped very carefully. Then there's people-skills upliftment in your organisation. The biggest thing, though, is adoption and change management in business," he said.

Zitzke expects AI to change virtually every job, but not necessarily eliminate jobs. The International Labour Organization estimates that one in four jobs globally is potentially exposed to generative AI, with transformation more likely than outright replacement.

The company is working on a project aimed at reducing costs by 10% while retaining jobs, he said. In another example, automating invoice processing means a customer no longer needs as many people performing accounts-payable work.

"You can easily fire people and cut costs, but if you make them more efficient, you get a different outcome," Zitzke said.

He emphasised that opportunity grows when AI can extract useful information from documents businesses have traditionally treated as paperwork. An AI system processing a utility bill, for example, could compare water consumption with the previous month and flag a sudden increase, according to Zitzke.

"You can read the whole document and then say, 'Listen, your water consumption is double what it was last month. Check it.' You may then find that a pipe has burst in your building or something," he said.

The challenge is getting employees to work differently. AI is already reshaping the global workplace, with the World Economic Forum reporting that 86% of employers expect AI and information-processing technologies to transform their businesses by 2030. At the same time, 77% say they plan to reskill or upskill their workers to work more effectively alongside AI.

For 4Sight, deploying AI is only part of the transformation. Employees also have to learn how to work with AI agents, adapt to redesigned processes and understand where human judgement remains necessary.

"You need to coach your people now, not just train them," Zitzke said. "Training without coaching is pure entertainment."

Zitzke sees this progression eventually leading to what he calls a "digital twin" — an AI system that works alongside an employee continuously, handling tasks and processes while the human remains responsible for checking and approving its output.

He describes this as the final stage of AI adoption, where the technology moves beyond assisting employees to operate on their behalf.

"That final stage is full automation, where you will basically see, 24/7, 365 days a year, your digital twin working for you day and night. You must just check and approve the results," he said.

The idea is not that AI replaces the employee, but that it becomes an always-on digital counterpart, carrying out much of the work while the human retains oversight. "They will design processes for you automatically, but the human will always be in the loop," he explained.

For 4Sight, the opportunity also extends to turning lessons from its own AI transformation into products and services. "Whatever we do for ourselves, we turn into a product or service for customers that we can make money from as well," Zitzke stated.

That gives the leadership changes significance beyond corporate restructuring. Fourie, du Randt and Wassenaar are tasked with integrating AI across technology, data, cybersecurity, operations and business environments as 4Sight scales its intellectual property and expands its customer offering. What to watch next is whether 4Sight can convert its internal automation playbook into commercial offerings that customers adopt at scale — the test it has set for itself.

For Zitzke, the destination is straightforward: businesses will gradually let machines handle processes while people remain responsible for the outcomes. "So we are still in charge, definitely. But processes will be automated. That's the biggest change that will happen," he said.

More information about 4Sight is available on its official website and its intelligent automation offering. The ILO's analysis of generative AI and jobs can be found in its 2025 update, and the employer figures cited come from the World Economic Forum's Future of Jobs Report 2025.