As AI rapidly moves from simple automation to independent agent systems, Linda Saunders, country manager and senior director of solutions engineering for Salesforce Africa, argues that Africa’s success will depend on establishing five core organizational capabilities.
I just returned from Dreamforce 2025 in San Francisco. There, leaders from around the world were discussing what comes next in the “age of agents,” a future in which artificial intelligence (AI) systems not only automate tasks but also plan, reason, and act on their own to achieve complex goals. What struck me most was how important these conversations are for Africa today.
Across the continent, companies are being asked to do more with less. They are expected to grow faster and serve more people, but their budgets and teams are not expanding at the same pace. AI can help bridge that gap, not as a flashy new tool, but as a trusted partner to do the heavy lifting. Achieving this requires more than technology. Guiding and managing AI adoption safely, ethically, and effectively requires the right organizational capabilities.
From where I sit, the following five capabilities are essential for African businesses to prepare for this new era.
AI Agent Management – Turning Ideas into Action
This role ensures that AI is deployed for the right reasons and delivers clear business outcomes. It starts with identifying where AI can make a tangible difference, such as improving customer service, streamlining internal processes, and promoting financial inclusion. Companies like Absa are already using AI to deliver faster and more accessible banking services, demonstrating the real-world potential of these systems.
Given the skepticism towards AI in Africa, particularly concerns about unemployment and data misuse, its adoption should show practical and tangible benefits. It’s time to move beyond experimentation and focus on the work that really matters.
AI Risk and Governance – Building Trust from the Start
The impact of AI relies on trust, which requires safety barriers from the beginning. Africa faces unique challenges. Many global AI models are trained on data that doesn’t reflect language, culture, or context. This can lead to bias, error, and even harm, as seen in content systems that fail to suppress hate speech in African languages.
Strong AI governance that covers people, processes, and technology ensures appropriate safeguards such as bias testing, transparency reviews, data protection, and continuous monitoring. This is not red tape. It is essential to building and maintaining trust. When AI systems operate and make decisions independently, their safeguards need to be visible, consistent, and robust.
AI operations management – scaling for reliability
The reality is that nearly 95% of AI pilots fail. This is often because companies try to build everything from scratch and face security risks, poor data quality, and rising costs. Budgets are tight in Africa, making pilot failure even more painful. AI operations management capabilities address this issue by ensuring that AI systems are deployed correctly, remain stable, perform reliably, and remain secure.
At the heart of this capability are AI platform engineers who connect agents, data, and applications into seamless, reliable workflows. While the management team ensures that operations are aligned with the organization’s goals, platform engineers ensure that the system runs smoothly and continuously at scale.
AI Talent Training and Development – Bridging Technology and Talent
Technology only works if people understand how and when to use it. This is where the training feature becomes important. Significant digital literacy gaps exist, with only half of African countries incorporating computer skills into their school curriculum.
AI learning and development managers must move from basic AI awareness to role-specific development, prioritizing structured training, and ensuring employees are ready for the “human-agent collaboration” that will define the future of work. According to Salesforce’s latest Slack Workforce Index, people who use AI are 81% more satisfied with their jobs than those who don’t, and training plays a key role in talent attraction and retention.
Integrating the AI workforce – Expanding human potential
This feature focuses on creating seamless and productive collaboration between human employees and AI systems. The goal is to enhance human capabilities and allow employees to focus on creative and strategic tasks while reducing friction.
AI can automate repetitive and time-consuming activities, freeing up employees to focus on high-value work and strategic initiatives. Real-world success stories like Secret Escapes have increased autonomous resolution rates from 10% to 30%, freeing up human employees to focus on higher-value interactions. AI collaboration strategists identify key interaction points and optimize collaboration models to ensure that AI enhances human ingenuity.
Africa’s opportunities in the agent era
Moving to an agent system is more than just a technology upgrade. The way we work will fundamentally change. For Africa, it presents great opportunities. The ability to deliver better public services, respond more quickly, and grow without stretching already limited budgets.
These five capabilities, from governance to workforce integration, provide the structure organizations need to use AI securely and effectively. Without these, AI is just guesswork. With them, it becomes a real driver of growth.
As Africans, can we afford to miss this opportunity to make meaningful change on a continent that knows all too well the price we pay for being left behind?
