A new agreement between two major development organisations could reshape how artificial intelligence is built and deployed across Africa, with a deliberate focus on governance, public trust, and long-term impact over rapid experimentation.

Smart Africa, an alliance representing 42 member countries and more than 1.2 billion people, signed a Memorandum of Understanding with Wadhwani AI Global on the sidelines of the India AI Impact Summit in New Delhi. The deal establishes a three-year collaborative framework targeting AI integration in healthcare, agriculture, education, financial services, climate action, and government service delivery.

What sets the initiative apart from previous continental tech drives is its insistence on what organisers describe as "responsible sequencing" — a structured approach to introducing AI systems in ways that are trusted, properly governed, and aligned with national priorities rather than imported wholesale from outside.

"This partnership reflects a shared commitment to building AI that strengthens public systems rather than bypassing them," said Shalina Wadhwani at the signing ceremony.

Lacina Koné, speaking for Smart Africa, stressed that the continent's AI future would depend on its ability to learn and adapt on its own terms, rather than replicate models designed elsewhere.

Central to the agreement is a continental AI Digital Public Goods platform — a shared repository of tested, adaptable tools that governments can localise and deploy without starting from scratch. A crop disease detection system proven in one country, for instance, could be adapted and rolled out across several others, cutting costs and speeding up delivery.

The partnership will also invest in human capital, with plans to train policymakers, engineers, and public sector innovators, and to establish AI schools and centres of excellence across the continent. The goal is straightforward: Africa should be a creator and regulator of AI, not merely a consumer of it.

Wadhwani AI Global brings real experience to the table. Its AI systems, largely developed and deployed in India, have reached more than 100 million people across agriculture, education, and public health — experience its leadership believes translates directly to Africa's resource-constrained environments.

In a separate interview with the CEO of Wadhwani AI Global, Nakul Jain, he emphasised that stakeholders across the ecosystem are increasingly aligned on the need to move beyond pilot phases toward large-scale, sustained impact, noting that the organisation’s roadmap is anchored in three core priorities.

"First, we co-design solutions with public institutions and regional partners such as Smart Africa to ensure they address real service delivery needs and policy priorities,” he said. "Second, we build on existing public digital infrastructure—embedding AI directly into everyday public workflows rather than introducing parallel systems. Third, we prioritise interoperability and open standards so solutions can scale across agencies and countries.”

He added that this approach is underpinned by a strong focus on shared governance and long-term local ownership from the outset, ensuring systems can be maintained, adapted, and expanded within national contexts over time.

Jain further highlighted that local partnerships remain central to implementation, stressing that collaboration with organisations like Smart Africa enables the co-design of AI systems tailored to local realities while strengthening technical capacity and reinforcing shared governance.

He noted that responsible AI deployment requires governance frameworks embedded directly into real public systems from the start, including clear accountability, oversight, and human-in-the-loop decision-making for high-stakes use cases.

"We also prioritise strong data governance on privacy, security, and responsible use, while building in transparency and auditability so systems can be monitored, evaluated, and improved over time,” he said, adding that anchoring these frameworks in local ownership ensures they remain responsive to national priorities and can evolve as adoption scales.

For Smart Africa, the deal strengthens its flagship goal of building a Single African Digital Market by 2030, with AI now firmly embedded in that agenda.

The agreement also reflects a broader shift in how development partnerships are structured. Rather than the traditional dynamic of wealthy nations transferring technology southward, this deal is built on South-South cooperation — peer learning between regions grappling with similar challenges of scale, infrastructure, and institutional capacity.

Speaking on the initiative, Didier Nkurikiyimfura, Director of Emerging Technologies and AI at Smart Africa, emphasised the partnership’s focus on rapid, tangible impact.

"This partnership is designed to deliver practical results at speed. Together with Wadhwani AI, we will identify a first group of countries ready to deploy AI solutions in key sectors such as health, agriculture, and education,” he said.

"Our ambition is clear—to roll out concrete AI applications in at least five African countries within the first 12 months, while building a shared platform that allows solutions proven in one country to be adapted and reused across others.”

The initiative will prioritise the localisation of tested AI tools, ensuring they are tailored to African contexts and capable of addressing real-world challenges without requiring countries to build systems from scratch.

The partnership also places strong emphasis on African ownership, with governments and local institutions positioned at the centre of implementation.

According to Nkurikiyimfura, this model is designed to ensure sustainability and long-term relevance of AI systems.

"Ownership is at the core of this partnership. These solutions will be implemented with governments and local partners—not for them,” he said.

"That means building local capacity to operate and maintain systems, adapting tools to local languages and realities, and ensuring countries retain full control over how these technologies evolve.”

He added that the collaboration will prioritise the use of locally relevant data and align solutions with national development priorities, reinforcing Africa-led innovation.

Measuring impact over time

Beyond deployment, the partnership will incorporate a structured monitoring and evaluation framework to track both immediate outputs and long-term outcomes over a 36-month period.

Key indicators will include the number of countries adopting AI solutions, the scale of skills development, and the extent to which technologies are adapted to local contexts.

However, Nkurikiyimfura stressed that the ultimate measure of success will be tangible improvements in people’s lives.

"We will measure success not only by how many solutions are deployed or people trained, but by real improvements in people’s lives—whether that is increased agricultural productivity, better maternal health outcomes, or stronger education results,” he said.

While the MOU is non-binding, both parties have committed to identifying priority projects, launching pilots, and scaling successful programmes across member states within the three-year window.

If the ambition holds, it could mark a genuine turning point — moving AI from a talking point on conference agendas to a working layer of public infrastructure that improves lives across the continent.