Feature/OPED
Essential Functions for AI Transformation to Fuel Africa’s Growth
By Linda Saunders
I’ve just returned from Dreamforce 2025 in San Francisco, where leaders from around the world were talking about what comes next in the “agentic era” – a future where AI systems don’t just automate tasks, but plan, reason and act independently to achieve complex goals. What struck me most is how relevant these conversations are to Africa right now.
Across the continent, businesses are being asked to do more with less. They’re expected to grow faster and serve more people, but budgets and teams aren’t growing at the same pace. AI can help bridge that gap: not by being a shiny new tool, but by becoming a dependable partner that takes on the heavy lifting. To get there, we need more than technology. We need the right functions inside our organisations to guide and manage this adjustment so that it remains safe, ethical and genuinely useful.
From where I sit, these five functions are essential for any African business preparing for this new era:
1. AI agent management: Turning ideas into action
This role ensures that AI is used for the right reasons and for clear business outcomes. It starts with identifying where AI can make a measurable difference, whether that’s improving customer service, speeding up internal processes, or advancing financial inclusion, something we’ve already seen by companies like Absa, which is using AI to deliver faster, more accessible banking services.
Given the understandable skepticism around AI in Africa, especially concerns about job losses or data misuse, anyone using an AI agent must show real, practical benefits. It’s time to move from experiments to work that actually matters.
2. AI risk and governance: Building trust from the start
AI use is impactful when people trust it, which requires strong safety barriers from the very start.
Africa faces a unique challenge: many global AI models are trained on data that doesn’t reflect our languages, cultures or contexts, which can create bias, errors, and even harm in some cases, as we’ve seen with content systems that fail to moderate hate speech in African languages.
Robust AI governance, people, process and technology puts the right checks in place: bias testing, transparency reviews, data protection and ongoing monitoring. This isn’t about introducing more red tape; it’s about building and maintaining trust. If AI tools are going to act and make decisions independently, the safeguards must be solid, visible and consistent.
3. AI operations management: Scaling for dependability
The reality is that most – almost 95% – AI pilots fail. Often it’s because companies try to build everything from scratch, only to run into security risks, bad data or runaway costs.
In Africa, failed pilots are even more painful because budgets are tighter. The AI operations management function prevents this. It handles the day-to-day running of AI systems, by deploying them properly, keeping them stable, monitoring performance and making sure they stay secure.
Working inside this function is the AI platform engineer, whose job is technical and hands-on: they connect agents, data and applications into a single, reliable workflow. They make sure the system runs smoothly around the clock and can deploy digital labour when demand grows.
AI management teams must keep the operation steady and aligned with the organisation’s needs; the platform engineer makes the machinery actually work.
4. AI Workforce Training & Development: Bridging tech and talent
Technology only works when people understand how and when to use it. This is where the training function becomes critical.
A significant digital literacy gap exists, with only half of African countries including computer skills in their school curricula. The AI learning and development manager must prioritise structured training, moving from basic AI awareness to role-specific capability development, ensuring employees are prepared for the “human-agent collaboration” that defines the future of work. Salesforce’s latest Slack Workforce Index shows people using AI are 81% more satisfied with their job than those who aren’t, making training a critical function for talent attraction and retention.
5. AI workforce integration: Augmenting human potential
This is about fostering seamless, productive collaboration between human employees and AI systems. The goal is to augment human capabilities, enabling employees to focus on creative and strategic tasks and reduce friction.
By automating repetitive and time-consuming activities, AI can free employees to focus on high-value work and strategic initiatives. We’ve seen real-world success, such as Secret Escapes increasing autonomous resolution rates from 10% to 30%, which allows human employees to focus on higher-value interactions. The AI collaboration strategist defines the essential interaction points and optimises collaboration models to ensure AI enhances our human ingenuity.
Africa’s opportunity in the agentic era
The move toward agentic systems isn’t just another tech upgrade. It changes how work actually gets done. For Africa, it’s a real opportunity because it has the potential to deliver better public services, faster responses, and the ability to grow without inflating limited budgets.
These five functions, from governance to workforce integration, give organisations the structure they need to use AI safely and effectively. Without them, AI is guesswork, but with them, it becomes something that can genuinely support growth.
After witnessing many AI success stories at Dreamforce, one thought kept surfacing: while success and profit are noble causes, Africa has a duty to set the bar higher and use AI as an opportunity to elevate its people and solve real human problems.
Can we, as Africans, afford to miss this opportunity to make meaningful change on a continent that knows too well the price we pay for being left behind? Africa’s AI success starts with each of us taking up the responsibility to participate, develop ourselves, train our people, rethink our workflows, and place skills where they’ll make the biggest difference. We need AI solutions that reflect our values and serve our people.
Linda Saunders is the Country Manager and Senior Director Solution Engineering for Africa at Salesforce
Feature/OPED
Building 234 Solutions: A Response to Everyday Workforce Challenges
By Owoloye Emmanuel
Every business starts with a problem. For us, that problem was hiding in plain sight.
Across organisations, we kept seeing HR professionals, payroll teams, and business leaders spend significant time navigating processes that should be simpler. Employee records sat across multiple systems, payroll processes required manual intervention, and routine workforce tasks often became more complicated than they needed to be.
As businesses grow, workforce operations naturally become more complex. Yet many organisations still rely on disconnected tools and workflows that create unnecessary friction for both employers and employees.
The consequence is more than operational inefficiency. HR teams spend valuable time managing systems instead of supporting people. Business leaders struggle to access timely workforce insights, while employees experience delays in processes that should be seamless.
These weren’t isolated challenges. They were recurring realities across workplaces, regardless of industry or size.
That observation led us to a simple question: what if workforce management could be easier?
What if HR, payroll, and workforce operations could work together within a single, connected experience?
That question became the foundation for 234 Solutions.
We are building 234 Solutions with a clear belief that workplace technology should reduce complexity, not add to it. Our goal is to help organisations spend less time navigating processes and more time focusing on productivity, growth, and people.
As we prepare for launch, our focus remains simple: building practical solutions for real workplace challenges and helping organisations create better experiences for the people who power them every day.
Owoloye Emmanuel is the founder of 234 Solutions
Feature/OPED
The Role of TV in Preserving African Stories and Identity
Scroll through social media today, and you will notice something interesting: everyone is either reacting to a series, quoting a movie line, or debating a character as though they personally know them. Beneath the memes and binge-watch culture, however, lies something deeper. Television remains one of the most powerful tools shaping how Africans see themselves, remember their history, and tell their own stories. In a continent as diverse and expressive as Africa, that matters more than ever.
TV as a Cultural Archive, Not Just Entertainment
Long before streaming algorithms began shaping our viewing habits, television was already preserving African identity. From Nollywood dramas that capture the rhythm of everyday Lagos life to documentaries exploring Maasai traditions and Ghanaian folklore, TV has served as a living archive of the continent’s stories.
It preserves more than entertainment; it preserves language, culture, humour, values, and shared experiences. Unlike fleeting social media content, television allows stories to unfold with depth, exploring the realities of family, tradition, ambition, and modern African life without reducing them to stereotypes. That is the power of TV: preserving not just stories, but perspective.
Why Representation on TV Still Matters
There is a subtle but important truth: if people do not see themselves on screen, they may begin to believe their stories are not worth telling. This is why African TV content is more than entertainment; it is affirmation.
Seeing a character who speaks like you, struggles like you, or celebrates like your community does something powerful. It validates identity and challenges outdated narratives that have historically defined Africa through external lenses.
This is where MultiChoice Group, through platforms such as DStv and GOtv, plays an important role. They do not simply broadcast content; they help distribute cultural memory at scale.
GOtv, DStv, and the Everyday African Viewer
Think about a typical evening in many African homes: the TV is on in the background, someone is laughing at a comedy show, another person is watching a local series, and someone else is catching up on the news. That shared viewing experience remains very real.
Through platforms such as DStv and GOtv, African households are exposed to a blend of local storytelling and global content. More importantly, they have helped amplify African-produced content by bringing Nollywood films, African reality shows, talk shows, and documentaries into mainstream rotation.
It is not just about access. It is about visibility.
A young filmmaker in Lagos today is more likely to believe their story matters because they have seen similar stories broadcast widely. A child in Accra grows up hearing familiar accents and seeing environments that look like their own on screen, not as exceptions, but as the norm.
TV Is Also Shaping Modern African Identity
African identity is not static; it is evolving. Television reflects that evolution in real time.
Today, audiences see:
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Young Africans balancing tradition and modern dating culture
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Stories tackling mental health in African households
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Fashion and music influences spreading through TV series
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Political satire shaping public conversation
Conversations that were once confined to homes are now being explored on screen, giving audiences the language to discuss issues that were previously unspoken.
In many ways, television is doing what oral tradition has always done: passing stories, values, humour, warnings, and history from one generation to the next. The difference is that today’s griots are writers, directors, and broadcasters.
The Future: From Watching to Owning Our Narratives
The next stage of African storytelling is not just about being seen; it is about ownership.
As more African creators produce content and platforms continue to invest in regional storytelling, television becomes more than a mirror. It becomes a tool for shaping how Africa is represented to itself and to the world.
While streaming continues to grow, television, particularly accessible platforms such as GOtv, remains one of the most effective ways to reach everyday audiences across different income levels and regions. After all, storytelling only matters if people can access it.
African stories are not new. They have always existed in families, on streets, in markets, in history books, and through oral traditions. What television has done, and continues to do, is give those stories a stage wide enough for millions to experience them at once.
The next time you watch a local series or documentary on DStv or GOtv, remember that you are not just being entertained. You are participating in the preservation of African identity itself.
Feature/OPED
The Future of AI in Nigerian SMEs: Overcoming Barriers to Implementation
By Kehinde Ogundare
Ask a tech entrepreneur in San Francisco what AI means for their business, and they are likely to talk about competitive advantage, product differentiation, and scale. Ask a small business owner in Kano or Onitsha the same question, and the conversation shifts entirely.
For many Nigerian SMEs, the priority is keeping the lights on, managing costs, and finding sustainable ways to grow in a challenging economic environment. This difference in perspective explains why the global AI conversation, often shaped by assumptions about stable infrastructure, deep capital, and abundant technical talent, frequently fails to address the realities facing Nigerian SMEs.
This matters because Nigerian SMEs are not a peripheral concern. In 2024 alone, MSMEs contributed 46.32% to Nigeria’s GDP, accounting for 96.9% of businesses and 87.9% of employment. These businesses are the backbone of the Nigerian economy, and if AI is going to mean anything for Nigeria’s development, it has to work for them in the daily conditions they actually operate in.
However, research drawing on empirical data from 144 Nigerian SMEs found that inadequate infrastructure, low digital literacy, skills shortages, and regulatory gaps are collectively preventing them from meaningfully engaging with AI. Awareness of AI is high and growing. What is missing is a clear and honest conversation about what adoption actually requires in this specific context. The barriers are real, but none of them are insurmountable. The question is whether the tools, pricing models, and support structures being offered to Nigerian SMEs are designed with those barriers in mind, or whether they have been built for another market entirely.
Subscription models making AI affordable for small businesses
When most small business owners hear “AI,” they imagine expensive software, specialist consultants, and a hefty upfront bill.
That assumption is not entirely wrong, but it describes a particular way of buying technology, not AI itself. The shift that makes AI genuinely accessible at the SME level is the move away from large, one-time capital purchases towards tools that charge a predictable monthly subscription. Businesses can pay for what they use, scale back when necessary, and avoid the debt that a major technology investment can create.
The deeper opportunity here is consolidation. Many SMEs are already spending money across multiple disconnected tools—one for invoicing, another for customer records, another for stock tracking—none of which talk to each other. An integrated platform that handles several of these functions together, with AI built in, can actually cost less than the sum of those separate subscriptions while giving business owners a clearer picture of their operations.
With margins already under pressure, any technology a business adopts needs to visibly show an increase in productivity or bottom line. Subscription-based, integrated platforms, priced transparently and honestly, are the model that best fits this reality.
Infrastructure challenges demand a mobile-first approach
No conversation about technology in Nigeria is complete without confronting the infrastructure problem, and AI is no exception. Nigeria continues to face major infrastructure barriers, including limited broadband access, unreliable power supply, and high data costs, all of which constrain deeper AI adoption. These are structural features of the operating environment that any sensible technology strategy must account for today.
The electricity situation alone is significant. The World Bank estimates that the lack of stable electricity costs Nigeria’s economy approximately $26.2 billion annually, equivalent to about 2% of GDP, forcing many businesses to run on expensive diesel generators. That cost ripples outward.
In practical terms, AI tools built for Nigeria cannot assume a stable broadband connection or a computer that is always powered on. The tools that will actually get used are the ones that work on a smartphone, consume minimal data, and can function offline when connectivity drops, syncing back up when it returns. The mobile phone is already how many Nigerian SME owners run their businesses. AI that meets them there, rather than demanding infrastructure they do not have, is AI that has a genuine future in this market.
The direction is clear: build capability from within, using tools that make that possible. Recent AI performance research reveals that 64% of African workers are already actively using AI at work, signalling massive grassroots readiness and driving forward-thinking organisations across Nigeria, Kenya, and South Africa to aggressively prioritise internal upskilling frameworks to bridge the talent gap.
As the policy groundwork is being laid, the commercial ecosystem is beginning to respond. What remains is a clear-eyed acceptance that AI tools built for this market need to look different from those built for markets with different realities. Low cost, low bandwidth, and usability for non-technical people are not modest ambitions; they are the actual requirements. Build for those realities, and AI has a real future in Nigeria’s SME economy.
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