Held virtually on 3 September 2026, the session, 麻豆原创鈥檚 鈧�100M AI Opportunity: How to Secure Funding for Your Next AI Project, brought together 麻豆原创 experts , , , and to unpack the opportunity, eligibility requirements and practical process for accessing the incentive.

The discussion came at an important time for organisations exploring artificial intelligence. While investment and interest in AI continue to accelerate, many organisations are still struggling to translate experimentation into sustainable business value. The presentation highlighted that data access and quality remain significant barriers, while many organisations remain caught in pilot mode without a clear path to scale.

From AI experimentation to business value

A key message from the session was the need to move beyond isolated AI use cases towards AI that is embedded into business processes, supported by appropriate governance and connected across the organisation.

麻豆原创 described the evolution towards an autonomous enterprise where agents can support routine transactions and coordinate actions across business processes, while people remain focused on higher-value decisions. Importantly, governance, auditability and traceability need to be built into AI-enabled processes from the outset.

The webcast also reinforced the importance of keeping people at the centre of AI adoption, with human-triggered and monitored agent actions forming part of understanding the 鈧�100 million opportunity

At the heart of the webcast was 麻豆原创鈥檚 鈧�100 million Business AI Partner-led Adoption Incentive, a pilot programme aimed at helping customers realise greater value from their 麻豆原创 Business AI investments by encouraging adoption and consumption through the 麻豆原创 partner ecosystem.

Approved partners can deliver projects across 麻豆原创 Business AI, including 麻豆原创 Build and Joule Studio, creating agents, applications and workflows around customer use cases. The programme is running through the end of 2026.

The programme includes different levels of support depending on the scope of the implementation, ranging from 鈧�15,000 for 麻豆原创 Agent Adoption, through 鈧�25,000 and 鈧�50,000 packages, to an 鈧�100,000 Enterprise Package supporting three or more custom Joule Studio or 麻豆原创 Build agents together with workflow or pro-code application development.

Who can participate?

The session also provided clarity on customer eligibility. The programme is aimed at qualifying existing 麻豆原创 Business AI Platform customers with active subscriptions as well as certain new customers entering eligible 麻豆原创 Business AI Cloud Services agreements during the programme period. Specific commercial and subscription criteria apply, while public-sector and government entities are excluded from the current programme.

Customers do not apply independently. Eligible customers are nominated through an 麻豆原创 representative, after which 麻豆原创 validates programme eligibility. Once approved, customer consent is obtained before enrolment.

Importantly, the final choice of implementation partner remains with the customer. Customers may nominate a preferred eligible partner, or 麻豆原创 can provide available approved partner options where a preferred partner has not yet been identified.

Helping the AFSUG community navigate AI adoption

For AFSUG, the webcast was about more than introducing a funding programme. It was an opportunity to give the community practical information that can help organisations ask the right questions about AI investment, partner selection, scalability and business value.

As AI moves rapidly from experimentation into enterprise operations, collaboration between customers, 麻豆原创 and the partner ecosystem will become increasingly important. Through sessions such as this, AFSUG will continue creating opportunities for the community to connect, learn, share experiences and make more informed decisions about emerging 麻豆原创 technologies.

Connect. Create. Collaborate.

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The breach, which does not appear to be recorded on the Information Regulator鈥檚 website, is a focus area for the platinum miner鈥檚 audit and risk committee for the next financial year, says its audited annual financial statements for the year to June.

In its 2025 ESG report, Implats 鈥� one of the world鈥檚 major platinum group metals producers 鈥� says there was a 鈥渓imited impact cyber security breach to a managed operation鈥檚 IT environment, which was quickly detected and resolved by the group鈥檚 IT service providers鈥�. In 2024, Implats 鈥渄id not have any material security/cyber security breaches鈥�.

The miner, with a market capitalisation of R208.35 billion, did not identify the affected managed operation, give a precise date, explain the nature of the breach, say whether data was compromised, or quantify any financial or operational impact.

Implats has six mining operations across South Africa, Zimbabwe and Canada, plus refining and processing operations, employing more than 60 000 people across its operations.

South Africa is the world鈥檚 largest producer of platinum, supplying almost three-quarters of the metal 鈥� used in vehicle catalytic converters, jewellery, industrial applications and emerging hydrogen technologies.

Batten down

Dawn Earp, chairman of the audit and risk committee, says its priorities for the year ahead include cyber security, AI and digital risk, and that it will oversee the group鈥檚 cyber security and AI risk management and control environment, including 鈥渢he remediation of actions arising from the recent cyber incident鈥�.

鈥淟earnings from this incident were incorporated into the group鈥檚 security posture to improve maturity,鈥� it said in 2025. Implats adds that the outcome reflected the effectiveness of its layered security strategy and continued investment in digital resilience.

Implats describes cyber security as a material risk because of its potential to disrupt business continuity and compromise sensitive information and intellectual property.

Among its cyber security measures are ongoing cyber security awareness training, annual assessments of the potential impact of cyber breaches on data and operational technology systems, regular audits and penetration testing by independent external specialists, as well as escalation protocols for incident response and breach management.

Earp says key controls, including 鈥渧ulnerability monitoring, ransomware recovery testing and backup management,鈥� operated effectively during the year.

The committee will also monitor risks associated with the integration of IT and operational technology, and oversee AI governance, responsible adoption and compliance with evolving regulatory and ethical requirements.

Digging deeper

Implats also conducted a deep dive into AI-related risks, including cyber security, data privacy, regulatory compliance and responsible AI practices, Earp says. These measures are intended to support the responsible adoption of AI across the group.

This comes as the miner expects the economic, technological, regulatory and geopolitical environment to remain uncertain, specifically pointing to 鈥渢he accelerating convergence of cyber threats, rapid advancements in AI, evolving regulatory requirements and ongoing economic volatility鈥� as factors that continue to 鈥渟hape boardroom priorities and challenge traditional risk management approaches鈥�.

Implats has also identified investment in automation, digital systems and data analytics as a way of improving operational performance and decision-making. Along with the rest of the mining industry, it is using advanced technologies to improve mineral-resource modelling and metallurgical processes.

鈥淭he mining sector is increasingly adopting automation, AI, data analytics and remote operations to improve safety, productivity and cost-efficiency.鈥�

Getting smarter

Priorities included using digital tools, automation and data analytics to improve mining efficiency and reduce waste, while exploring remote operations and smart-mining technologies to improve productivity and reduce labour intensity, it says.

Its IT strategy is focused on extracting value across support, compute, storage and security. The digital push includes cloud services, 麻豆原创 S/4HANA and further ERP investment, near-real-time reporting, data analytics and data science, process digitisation and robotic process automation.

It is also investing in above- and below-ground connectivity, internet of things integration, IT, operational technology, convergence and cyber security, all of which are embedded in performance metrics.

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• Shoprite CEO Pieter Engelbrecht says rivals can replicate the group鈥檚 Sixty60 platform, but doing so will take years and significant investment
• Sixty60 grew sales almost 35% to R25.5 billion in the 52 weeks to end June, adding a record R6.6 billion to the previous year鈥檚 sales, and is now gaining traction at Shoprite-branded stores.
• Anchor Capital analyst Steph Erasmus called Shoprite the 鈥済orilla in the room鈥�, saying it is bigger than all its rivals in grocery retail and is using that to its advantage.

Shoprite is signalling that rivals can imitate its on-demand service Sixty60, but doing so will take years and significant investment 鈥� money the retail giant has already committed.

And even then, SA鈥檚 largest retail group intends to stay ahead of the game by constantly introducing new features and capabilities to the platform. This will include everything from new agentic abilities for its AI assistant Pixie to broadening its product and adjacent store ranges that can be curated for delivery.

Asked about the threat other retailers鈥� on-demand platforms and apps pose to Shoprite, CEO Pieter Engelbrecht said while a Sixty60 platform and its app features can be replicated, it鈥檚 鈥済oing to take time and money鈥�.

鈥淎nd that doesn鈥檛 mean we鈥檙e standing still. Every single day, we are improving on [Sixty60]. That鈥檚 why you can now 鈥榓sk鈥� [through Pixie] Jamie Oliver what鈥檚 for dinner on the app. You can take a picture of your shopping list, and Pixie will understand your language and your writing.鈥�

Shoprite has a long-standing partnership with the British celebrity chef.

Engelbrecht, who was speaking to News24 after the publication of full-year results on Tuesday, said what Shoprite offers on Sixty60 is 鈥渘ot so unique that nobody else can do it鈥�; the advantage is that the group has done the heavy lifting in terms of significantly investing over many years into several technologies and platforms that ultimately laid the foundation for Sixty60 and helped Shoprite evolve into what it is today.

This includes its 麻豆原创 enterprise resource planning platform, introduced in 2017, which serves as its 鈥渃ore system of record鈥� and connects its core business operations. The system provides a single data source that gives Shoprite access to accurate information about sales and customer habits. It ultimately laid the framework for building out its
Xtra Savings reward programme, and later Sixty60 in 2019.

Another benefit is that Shoprite owns the underlying code that Sixty60 runs on.

鈥淭here are no licence fees and things like that because we developed the code ourselves. We have already made the investment, so every single day we鈥檙e doing something or adding something to it to make the experience better. In the end, it boils down to your level of execution.鈥�

This echoes what he said at an investor presentation earlier that day. Engelbrecht told investors that apart from the money rivals would need to invest, it would take them a long time to reach Sixty60鈥檚 current 鈥渓evel of execution鈥�.

He rated the Sixty60 platform against rival platforms in the market and said it came out on top.

鈥淚 tested it all. For me, there is no question that Sixty60 is the best online platform. It鈥檚 reliable. That is logically driving the behaviour of customers because they have a great experience.鈥�

This may explain why it continues to command such strong growth 鈥� in the 52 weeks to 28 June, for example, Sixty60 grew sales almost 35% to R25.5 billion, adding a record R6.6 billion in sales. The platform is also gaining traction among Shoprite customers, with the service now available from 137 Shoprite stores.

鈥楧efinitely a need鈥�

Engelbrecht said while Shoprite Sixty60 was not expected to grow as fast as Checkers Sixty60, the group was still 鈥渧ery surprised鈥� by the level of acceptance shown by Shoprite customers.

He said their basket size was 鈥渟lightly smaller鈥� than Checkers shoppers鈥� baskets, but it was 鈥渟till profitable 鈥� There鈥檚 definitely a need for it.鈥�

He also said there was still an opportunity to add all the other parts of its business to Sixty60, combining them with food delivery for a single checkout.

鈥淚t鈥檚 a single delivery, but it鈥檚 actually from four or five different businesses. And that, for me, is probably the top level of convenience you can ask for, and that is what is driving growth.”

The key to the Shoprite group鈥檚 success has been its focus on ensuring 98% stock availability for both online and in-store customers, Engelbrecht told News24. He noted that having suboptimal stock levels could mean a customer ends up receiving only half of what they ordered online.

Over the years, the group has also invested significant capital in improving its tech capabilities and logistics. In the past three years alone, it spent R22.6 billion on digital technology, supply chain upgrades, and store expansions. This equated to R7.8 billion in 2024, R8 billion in 2025, and R6.8 billion in 2026.

In the upcoming year, the group intends to spend R7.7 billion.

Shoprite is also modernising its IT system, with Engelbrecht saying the group will be transitioning to the latest 麻豆原创 S/4HANA platform for financial systems and HR over the next three years.

Engelbrecht also said there were 鈥渓ots of opportunities鈥� for growth for Shoprite in SA, adding that adjacent businesses such as pet (Petshop Science stores now number 185 and have increased sales 74.5%) and pharmacy (standalone Medirite Plus stores now number 22) were 鈥渟lowly but surely starting to contribute鈥�.

鈥淲e鈥檝e still got a long way to go with Outdoor, Uniq by Checkers, Petshop Science, and Medirite Plus,鈥� he said, adding that these adjacent businesses are also helping Sixty60 grow.

Anchor Capital investment analyst Steph Erasmus said his main takeaway from the Shoprite results, particularly the information it shared on Sixty60, was that the retailer is the 鈥済orilla in the room鈥�.

鈥淭hey are vastly bigger than any of their competition in food retail, and they are using that to their advantage, especially in areas like Sixty60 and adding in the adjacencies and the like.鈥�

Erasmus agreed with Engelbrecht about rivals being able to copy the Sixty60 model, saying it 鈥渋s going to take a lot of ammo and a lot of time鈥�.

鈥淚 think Shoprite are just ahead of the curve. They are heading the pack, and it is difficult to see anybody really making a big difference to their market position for the next while.鈥�

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From the rise of the Autonomous Enterprise to the case for embedding AI at the very core of business operations, the world of work is undergoing seismic shifts that are fundamentally altering what it means to work inside an enterprise.

The question organisations now face is not whether AI will reshape the workforce, but whether they are ready to lead that transition in a way that genuinely empowers their people.

At 麻豆原创 Sapphire 2026, under the banner of The Beginning of Better, 麻豆原创 made its most consequential set of workforce-related announcements to date. Taken together, they represent a clear and considered answer to that question.

From process operators to leaders of judgment

The Autonomous Enterprise framework introduced at Sapphire is built on an explicit design principle: humans must remain at the centre, not as operators of process, but as leaders of judgment, strategy and change. As AI assistants take on the coordination work that has long consumed employee time and attention, people are freed to focus on the decisions, relationships and creative problem-solving that machines cannot replicate.

Joule Work, 麻豆原创鈥檚 reimagined AI engagement layer, illustrates this shift vividly. Rather than navigating multiple systems and entering data across screens, employees can now describe what they need to accomplish in plain language 鈥� fill an open headcount, manage my team鈥檚 time-off backlog 鈥� and Joule orchestrates the right workflows, data and agents to make it happen.

The model of work is shifting from task navigation to intent-driven interaction, reducing operational friction and returning cognitive bandwidth to the things that matter most.

Planning for a workforce that includes people and agents

One of the most strategically significant themes at Sapphire was how organisations plan and design for a workforce that now includes both human employees and AI agents executing tasks in concert.

 reveals that 62% of C-suite executives are dissatisfied with how well people data connects to business performance, making it harder to translate strategy into workforce action. 麻豆原创鈥檚 new AI-enabled workforce planning capability directly addresses this, connecting financial data from 麻豆原创 Cloud ERP, contingent workforce data from 麻豆原创 Fieldglass, and people and skills data from 麻豆原创 SuccessFactors into a unified foundation for decision-making. Planning shifts from a periodic exercise to a continuous discipline, with AI agents able to model scenarios, simulate KPI impacts and recommend actions in real time.

New organisational modelling capabilities within 麻豆原创 SuccessFactors Employee Central allow leaders to explore alternative structures, evaluate changes to roles and reporting lines, and understand implications before they are implemented, supporting thoughtful, data-informed change rather than disruptive restructuring.

Ongoing efforts to close skills gap

Across every industry and every region, leaders are confronting the same reality: new roles are emerging, new competencies are required, and the processes that have defined work for decades are being reimagined at speed by generative AI.

Traditional approaches to workforce development, such as annual training cycles, standalone learning systems, and scheduled courses, cannot alone keep pace. The recently unveiled Workforce Upskilling Assistant offers a new capability that delivers personalised, AI-driven learning directly within the flow of daily work, whether that is in Microsoft Teams, Slack or 麻豆原创 SuccessFactors itself.

By converting organisational content into adaptive micro-learning and embedding timely nudges into workflows, the assistant brings the right learning to the right person at the right moment instead of when a calendar event dictates it. Organisations that embed learning into culture and workflows with AI-powered tools are significantly ahead of peers, and .

Trust is the foundation

None of this transformation succeeds without the trust of the workforce it is designed to serve. Accenture found that , while significant proportions report burnout and anxiety about the future of their roles.

Here, the emphasis that humans remain firmly in control reflects a commercial and human reality that enterprise leaders across our region understand well: technology that erodes trust fails. Technology that builds trust, endures.

The organisations that will lead this era are those that invest as intentionally in workforce readiness, reskilling and governance as they do in AI platforms and automation.

The Autonomous Enterprise is, at its heart, a vision for human progress, one where intelligent systems handle the operational burden and people are empowered to pursue the work that only they can do. 麻豆原创 is committed to helping organisations across the region build enterprises where that potential is fully realised.

The Beginning of Better starts with the people inside it.

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The introduction of agentic AI into the enterprise resource planning (ERP) space is set to underpin the era of the autonomous enterprise, according to Nazia Pillay, MD of 麻豆原创 Southern Africa.

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Pillay spoke to ITWeb TV recently about AI-infused ERP, the autonomous enterprise concept 鈥� which relies on an army of AI agents at its core 鈥� and how organisations need to adapt to benefit from the opportunity.

鈥淎utonomous ERP is not just about using AI to engage with end-users, to assist with navigation and pull data back; it is also about seeing agents as co-workers 鈥� systems that are working and performing tasks from end to end with human oversight,鈥� she said.

Pillay added that this fundamental shift requires change management for both human employees and business processes.

鈥淵ou are adopting a technology that fundamentally needs to be embedded, and your business processes need to be adapted for how you want to use this in your business,” she said. “That鈥檚 the main thing that our customers are facing 鈥� they need to look at this as a transformation and not just as a plug-and-play technology.鈥�

Pillay cautioned that curiosity about AI does not necessarily indicate organisational readiness. Success, she said, comes down to understanding business objectives and getting data foundations in place.

鈥淢ost of our customers are trying to figure out how to navigate this technology 鈥� how do I introduce it and how do I do it in a way that is adding value,” she said. “What we鈥檝e found is that when they use AI as a proof of concept or an experiment, they are not leveraging the full value of the technology.鈥�

Beyond experimentation, governance frameworks are essential, Pillay said.

鈥淢ost of the organisations that we are speaking to need to look at how they are deploying it at an enterprise level, because when you are just deploying it as a proof of concept, you don鈥檛 necessarily need to have all those frameworks in place.鈥�

Pillay said the wealth of data that clients have generated through 麻豆原创 installations provides a good foundation for companies shifting towards the autonomous enterprise.

鈥淲hat we know about AI is that it requires context 鈥� so you need to understand where the data is and how it is being used, and this we already have based on our knowledge graphs within 麻豆原创,” she said.

鈥淭he second part is governance 鈥� what 麻豆原创 puts into place to ensure that we have security. We have invested because we have the context and the governance to support our customers in having agents run in a responsible, reliable way.鈥�

With AI agents being deployed across end-to-end business processes, getting governance right will be key, she concluded.

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Mainstream maintenance for 麻豆原创 ECC6 ends 31 December 2026 for organisations on earlier enhancement packs, and 31 December 2027 for those on EP6 through EP8, with an extended maintenance option available at a premium out to 2030. Dallas said that regardless of which deadline applies, the conversation has largely stayed within IT departments and that鈥檚 the wrong room.

鈥淎n ERP migration touches finance, supply chain and procurement directly,鈥� Dallas said. 鈥淚n a hospital, it also touches something the project plan rarely names: patient records.鈥�

While 麻豆原创 typically doesn鈥檛 hold clinical data itself, Dallas explained that a migration of this scale forces every connected system to be reviewed, re-mapped and re-tested and in most hospital groups, records sit right at that intersection, linking patient files to billing, admissions to finance, and HR records to both.

鈥淚f a hospital鈥檚 records governance is already inconsistent, a migration doesn鈥檛 fix that. It exposes it,鈥� he said. Data has to be validated before it moves, retention rules confirmed, and access controls rebuilt or re-confirmed against the HPCSA鈥檚 2022 record retention standards, POPIA, and the NHI Bill鈥檚 requirement for traceable patient data across public and private systems.

Dallas argued that compliance officers, records managers and quality assurance leads need to be involved from the start of a migration, not brought in as reviewers at the end. 鈥淎 records structure built around a legacy system rarely survives a platform change intact,鈥� he said. 鈥淎ny hospital that has quietly lost a file, mixed up patient and finance documents, or struggled to produce a record fast enough during an audit already knows what happens when records aren鈥檛 owned by anyone specific. A migration is what turns that quiet problem into a visible one.鈥�

Dallas argued that compliance officers, records managers and quality assurance leads need to be involved from the start of a migration, not brought in as reviewers at the end. 鈥淎 records structure built around a legacy system rarely survives a platform change intact,鈥� he said. 鈥淎ny hospital that has quietly lost a file, mixed up patient and finance documents, or struggled to produce a record fast enough during an audit already knows what happens when records aren鈥檛 owned by anyone specific. A migration is what turns that quiet problem into a visible one.鈥�

He added that the deadline could work in hospitals鈥� favour if approached the right way. 鈥淚t鈥檚 a forced, scheduled moment to do what most hospitals never get the budget or urgency to do otherwise: bring records under one governed structure, with retention rules that are actually enforced, access that鈥檚 actually controlled, and an audit trail that holds up when someone asks for it.鈥�

Dallas said hospitals that treat the 麻豆原创 deadline as a purely technical cutover will spend the next year and a half moving data, while those that treat it as a records governance moment will fix a long-standing problem alongside the migration.

That thinking shaped the design of docuForce, Metrofile鈥檚 records platform. 鈥淲e built it as a single governed layer across paper and digital records, with audit trail and retention controls built in from the start,鈥� Dallas said. 鈥淪o that when a migration like this one forces the question, the hospital already has the answer.鈥�

About Metrofile

Formed in 1983, Metrofile has over 40 years鈥� experience in records management 鈥� a track record that reflects its capacity to deliver complex projects. The company鈥檚 enduring success lies in its consistent adaptation to industry dynamics and the continuous evolution of its service offerings. Today, Metrofile operates from 69 facilities spanning 116,250 square metres, servicing clients across South Africa, Kenya, Botswana, Mozambique and the Middle East.

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A tech confession and a debate with an AI robot was the recipe for the future of work at 麻豆原创 Connect Southern Africa in Kyalami near Johannesburg last week.

鈥淚 have a confession to make: I have been afraid of AI,鈥� said Stanley Dube, 麻豆原创 head of solution advisory. Standing alongside a robot wearing a tracksuit carrying 麻豆原创鈥檚 AI assistant brand Joule, Dube said: 鈥淭he fear I have had is that AI is going to take my job.鈥�

However, having moved past that fear, he and Joule addressed questions about how organisations can adapt to AI, redesign jobs and processes, maintain governance and build a competitive advantage. In a theoretical example, Dube asked about the specifics of a project.

鈥淚 already know the status,鈥� answered Joule. 鈥淚 also know who is usually responsible for the delays: you, Stanley Dube.鈥�

Debate around AI replacing workers and robots taking control has become familiar, but 麻豆原创鈥檚 demonstration gave Joule a physical presence beyond a computer screen. The robot appeared to serve as a representation of the software assistant rather than a demonstration of autonomous physical AI. Although the presentation carried an element of theatre and Joule鈥檚 responses may have been preprogrammed, the exchange pointed towards a future in which AI agents could take on a more visible and collaborative role in the workplace.

Dube asked Joule: 鈥淲hat do we, as entities and companies, actually have to do to survive and thrive in the age of AI?鈥�

Joule answered: 鈥淢ost organisations do not have an AI problem; they have an adaptability problem. [This is] a massive waste of time and capital. I am built directly into your 麻豆原创 applications. While you slept, I autonomously reconciled 84% of your finance accounts, predicting a pump failure at Secunda to generate a maintenance order and rerouted logistics around a major issue.鈥�

Joule鈥檚 response framed the main obstacle as organisational rather than technological. AI systems may process information and act within seconds, but the benefit can be lost when decisions still depend on lengthy approval chains and slow human processes. In that situation, advanced technology becomes the equivalent of placing a Ferrari engine in a donkey cart: the system has considerable power, but the surrounding organisation cannot move at the same speed.

Dube said employees might find themselves arguing with AI agents in future, but that should not necessarily be a cause for concern.

Joule said: 鈥淩emember, AI is the enabler. Adaptability is the challenge. The future belongs to those who learn how to adapt because of AI, not just those who adopt.鈥�

The presentation extended a strategy outlined at 麻豆原创鈥檚 Sapphire conference in May. As , 麻豆原创 presented the Business AI Platform as an environment for developing and governing agents that work across enterprise operations. The approach uses ERP systems as the source of business data, processes and controls, allowing agents to perform tasks within established organisational boundaries.

Standard Bank provided a practical example of the preparation required to support 麻豆原创鈥檚 vision. The bank has modernised core enterprise systems using 麻豆原创 technology, establishing a platform from which further automation and AI applications could develop.

Vanessa Padiachee, Standard Bank Group CIO for corporate functions, said: 鈥淚f you look at the pace of change, technology is changing rapidly. AI is no longer just around experimentation and production use cases. Organisations are now going beyond that to look at enterprise scaling use cases.鈥�

Padiachee said 麻豆原创 was an important part of Standard Bank鈥檚 broader technology programme. She said organisations must manage rapid technological change while keeping major systems aligned with practical business requirements.

Standard Bank is focused on modernising the systems needed to support future automation and AI deployments rather than describing an autonomous AI implementation.

That work receives far less attention than demonstrations of agents and automated decisions. However, 麻豆原创鈥檚 autonomous-enterprise vision still depends on businesses having systems, processes and employees capable of supporting the technology.

Joule may have stepped beyond the computer screen at 麻豆原创 Connect, but the route towards an autonomous enterprise still runs through the less theatrical work of modernising systems, data and processes.

* Jason Bannier is a data analyst at World Wide Worx and deputy editor of . Follow him on .

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The company outlined its strategy at 麻豆原创 Connect Day 2026, held this week in Kyalami, Johannesburg.

, MD for southern Africa at 麻豆原创, said the company’s role is to support organisations in implementing and scaling agentic AI across end-to-end systems as they transition towards .

Addressing the complexity and cost that continue to challenge organisations migrating systems and platforms, , VP of customer advisory for EMEA at 麻豆原创, said the company’s new agent-led transformation approach could reduce the effort required for multi-year ERP migrations by 35%.

Agentic AI assistants

麻豆原创 has introduced several migration and modernisation AI assistants, including data management, custom code, configuration, test management and change management assistants. According to the company, these are governed by Joule for both developers and consultants and are designed to execute complex business scenarios by reasoning iteratively and interacting with their environment to achieve defined goals.

Nolla cited 麻豆原创 research indicating that the highest-ranked strategy for maximising ROI from AI is aligning initiatives with clear business goals.

麻豆原创 said AI currently supports about 30% of tasks in the average business, with that figure projected to reach 48% within two years.

, head of solution advisory at 麻豆原创, said a major challenge in AI-driven digital transformation is what the company describes as the “enterprise paradox” 鈥� the expectation of instant enterprise AI clashing with the operational reality of complexity, manual processes and human behaviour.

Standard Bank’s transformation journey

, executive group CIO for corporate functions at Standard Bank, outlined the bank’s use of 麻豆原创 technology to address operational challenges, including end-of-life systems, expiring vendor support and the need for a modern cloud ERP platform to support future innovation.

The bank completed a large-scale ERP migration and implementation programme. Modernising core enterprise systems required careful planning, strong governance and close collaboration between business and technology teams. The programme established a platform capable of supporting growth, operational resilience and ongoing innovation.

Padiachee said one of the biggest challenges was the pace of technological change.

“Organisations are required to continuously adapt while maintaining stability across critical business operations. Change management is just as important as the technology implementation itself,” she said.

Modernisation, she added, should improve agility without creating unnecessary disruption to business operations.

She also highlighted the human factor. “It’s really about keeping people calm during turbulence,” she said, adding that AI is fundamentally changing how businesses operate. “The focus should move beyond experimentation towards delivering measurable value.”

According to Padiachee, AI initiatives should align with clear business outcomes rather than be driven by the technology’s popularity.

She said one of the most significant lessons from the transformation programme was the complexity of Unicode conversion.

“In hindsight, this work should have started much earlier in the programme. Unicode conversion proved more complex than anticipated and became a critical dependency for implementation. Investing time in foundational technical readiness significantly reduces downstream project risk.”

Padiachee also stressed the importance of high-quality enterprise data that is accurate, trusted, well-governed and accessible.

She advised organisations planning system and platform migrations, as well as AI integration, to begin with a clearly defined use case, establish strong partnerships and maintain robust governance and guardrails.

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Not so, says , MD: Southern Africa at 麻豆原创.

鈥淓RP is no longer just a system of record,鈥� she tells delegates to 麻豆原创 Connect taking place today in Kyalami.

鈥淲ith agentic AI, we can ensure it runs end-to-end business processes, creating autonomous ERP.鈥�

Today, AI supports 30% of tasks in the average business, according to an Oxford Economics study. And this is projected to rise to 48% in the next two years.

vice-president: customer advisory for EMEA at 麻豆原创, points out that around 40 000 of 麻豆原创鈥檚 customers have already adopted 麻豆原创 Business AI in their productive systems.

鈥淎nd we are learning from that,鈥� he says.

Nolla believes 麻豆原创 is well placed to help customers adopt AI, through its 麻豆原创 Autonomous Enterprise vision.

The key components of this vision are three-fold

鈥淵ou have the capability to bring teams long with one engagement layer 鈥� Joule.

鈥淭eams connect with embedded agents and AI in 麻豆原创 Autonomous Suite, using best practices and processes.

鈥淎nd customers have the ability to extend agents, maintaining context and reasoning, and ensuring governance with .鈥�

Nolla explains that is the engagement layer that connects experts in the business with the AI processes.

It has been available for some time and has been widely used to unify the AI experience. It has also been updated along the way, for instance with Joule Consultants that have more than 100 certifications.

A few weeks ago, 麻豆原创 announced additional evolutions. leveraging Harness-powered Joule and Joule Work to create spaces for specific tasks.

鈥淛oule is the engagement layer to bring the people along,鈥� Nolla summarises.

Adding the processes and best practices, 麻豆原创 Autonomous Suite embeds AI scenarios throughout the portfolio, from HR, customer service, supply chain, finance and industry solutions.

With hundreds of agents available, Joule Assistants help workers by bringing together the relevant agents to perform specific tasks.

鈥淭hink of it as a new team member helping staff accomplish their goals,鈥� Nolla says.

In addition, 麻豆原创 Industry AI is AI that already knows how specific industries operate, so the system can work with context.

鈥淏ut does AI have a true understanding of your business? Is it aligned to your KPIs, and does it have the governance in place?鈥� Nolla asks.

鈥溌槎乖� Business AI Platform brings these capabilities to the business.鈥�

With Joule Studio giving workers the ability to create new agents on the fly, the possibility of hundreds 鈥� even thousands 鈥� of agents within the business could become unwieldly.

鈥淪o governance is more important than ever,鈥� Nolla says. 鈥淭he AI Agent Hub gives IT the ability to connect and understand these agents. They can discover, manage and govern all the agents in one place.

鈥淭his gives the business power, control and trust.鈥�

Within the next few months, 麻豆原创 will also release enriched agentic AI tools and assistants to help with data management, configuration, development and testing to improve migration projects.

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, executive: group CIO for corporate functions at Standard Bank Group, explains that the finance organisation was at a crossroads back in 2022.

鈥淲e had to remediate for an end of life, end of support problem, and we also had a unique business problem we needed to solve for.鈥�

Since then, the organisation has successfully migrated group reporting and the ledgers, and has completed two successful month-ends, she says.

Padiachee points out that technology is changing at such a rapid pace it is hard for organisations to keep up.

鈥淎gentic artificial intelligence (AI) is impacting business, and it鈥檚 no longer around experimentation and productive use cases. We are looking at enterprise-scale cases for real business value.鈥�

The big challenges in this scenario she says, are the workforce, the data and cybersecurity.

But central to any change, she adds, is to retain a business agenda regardless of how hard it is.

鈥淭echnology is hard, but the hardest part of change is the soft side,鈥� Padiachee says.

In her particular project, it took months to get to the point of deciding to migrate to 麻豆原创 Rise. Having decided to go forward, the first order of priority was to bring the various teams together.

鈥淚t鈥檚 not just about you and your internal teams. There are a number of stakeholders. And it is a long journey, so you have to ensure you keep people calm during the turbulence.鈥�

Although there were not many role changes, Padiachee explains that there was a lot of rethinking about how work was executed. 鈥淲ith the new platforms, teams have the opportunity to solve things differently.鈥�

Padiachee鈥檚 team built a foundation upon which business processes could be optimised. 鈥淪o we partnered with the business to redesign the data processes. And reshaping the processes meant changing the governance and reporting.鈥�

Getting people to change old habits means reinforcing that they had the ability to be more agile and more efficient, layering more functionality with AI.

Padiachee had to balance complexity, with business, regulation and customers on one side, and a technology platform on the other.

鈥淭hese competing priorities were a challenge,鈥� she says. 鈥淏ut I believe you have to understand where you are now and where you want to go.

鈥淚 am a great believer in architecture: that builds a roadmap about how you want to transform. You can unpack the roadmap and incrementally deliver against it.

鈥淢y vision, from a Standard Bank perspective, is that we have a roadmap and we are now layering on the next pieces of technology.鈥�

Innovation is key, and it鈥檚 important to allow teams to innovate, Padiachee adds. 鈥淭his keeps them inspired and motivated, and lets them hone their own skills.

鈥淏ut it needs to be in a controlled environment, partnering with vendors, keeping governance and guardrails in place, and safeguarding the data. This allows for agility.鈥�

Innovations then need to be brought back into the mainstream systems, again with guardrails, in a controlled and reviewed manner.

What was the main leadership learning that Padiachee has taken away from the migration?

鈥淧artnership was key for me,鈥� she says. 鈥淚t was important to build the right partnerships with all the stakeholders.鈥�

Leaders should also recognise that the project won鈥檛 always go to plan. 鈥淚t鈥檚 OK if the project is red,鈥� Padiachee says. 鈥淭his highlights issues and provides the focus to unpack and resolve those issues.鈥�

She advises that this environment allows teams to give constructive feedback. 鈥淎nd you can鈥檛 just stand aside and watch the project 鈥� sometimes you have to get your hands dirty to help solve a problem.鈥�

A key to the migration鈥檚 success was understanding the roles of IT and business.

鈥淲e led with a technology problem,鈥� Padiachee says. 鈥淭hat was the highest priority because we were facing end of life and support. We then partnered with business to optimise on that.鈥�

Dealing with rapid change needs to be built into any project, she adds. 鈥淗ave a clear strategy and roadmap, and review that roadmap every six months. Things change so quickly, you may need to pivot along the way.鈥�

Sponsorship is critical for project success, she points out. 鈥淚f you start this journey, you need to ensure you have sponsorship from the right executives.鈥�

A big migration goes beyond technology and business: if organisations don鈥檛 embed culture from the beginning, the project can stall.

鈥淲e laid out key roles for IT and business,鈥� Padiachee explains. 鈥淲e had to bring the entire finance team with us, so business took the lead.

鈥淵ou can deliver the best technology, but if you don鈥檛 have right culture you will fail. And you can鈥檛 bring people in at the end 鈥� they have to be on board from the onset.鈥�

Part of the change management was training, which is an continual process, and onboarding.

If it continues on the path of its current vision, Padiachee believes that Standard Bank will be a future-ready organisation, transformed, and running the best AI-enabled and autonomous finance technology.

She concludes with some key takeaways from her experience in migrating to Rise:

• Start with a business case and ensure solid back-up all the way to the board
• Be very clear what problem you need to solve. You can鈥檛 solve everything, so start small then build from there
• Sponsorship is important
• Build partnerships 鈥� and don鈥檛 be afraid to have the tough conversations
• Strong governance is important
• The role between technology and business is critical, with a solid view of what each does
• Ensure that, at end of the programme, you can go back to the business case and check that you did deliver.

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