{"id":148817,"date":"2026-07-24T06:36:38","date_gmt":"2026-07-24T06:36:38","guid":{"rendered":"https:\/\/news.sap.com\/africa\/?p=148817"},"modified":"2026-07-24T06:36:39","modified_gmt":"2026-07-24T06:36:39","slug":"agentic-ai-takes-centre-stage-in-saps-autonomous-enterprise-push","status":"publish","type":"post","link":"https:\/\/news.sap.com\/africa\/2026\/07\/agentic-ai-takes-centre-stage-in-saps-autonomous-enterprise-push\/","title":{"rendered":"Agentic AI Takes Centre Stage in 麻豆原创’s Autonomous Enterprise Push"},"content":{"rendered":"\n
麻豆原创’s vision for the autonomous enterprise<\/a> centres on growing its partner ecosystem and deploying\u00a0AI-enabled tools, including its generative AI copilot Joule<\/a>, Business AI Platform<\/a> and Autonomous Suite<\/a>.<\/p>\n\n\n\n The company outlined its strategy at 麻豆原创 Connect Day 2026, held this week in Kyalami, Johannesburg.<\/p>\n\n\n\n Nazia Pillay<\/a>, 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 autonomous operations<\/a>.<\/p>\n\n\n\n Addressing the complexity and cost that continue to challenge organisations migrating systems and platforms, Marc Nolla<\/a>, 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%.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n Stanley Dube<\/a>, 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” \u2013 the expectation of instant enterprise AI clashing with the operational reality of complexity, manual processes and human behaviour.<\/p>\n\n\n\nAgentic AI assistants<\/h2>\n\n\n\n
Standard Bank’s transformation journey<\/h2>\n\n\n\n