Figo AI Labs and TBO Integrated Services Limited have announced a formal partnership to design, deploy, and govern AI solutions for large enterprises in Nigeria and across Africa, with a deliberate focus on measurable business outcomes rather than technology adoption for its own sake. The announcement, published on Techpoint Africa on September 3, 2026, names three priority verticals: financial services, oil and gas, and the public sector.
The partnership pairs Uchenna Okpagu's Figo AI Labs — an AI engineering and research firm — with Dr Temitope Oyeleye's TBO Integrated Services Limited, a technology and transformation consultancy. On the Figo AI Labs side, the named leadership includes Okpagu as Founder and CEO. TBO brings Joyce Akiga as Head of Strategy and Client Delivery and Nwajiagah Omeruo as Senior Vice President of Partnerships and Operations, alongside Oyeleye as CEO.
The core problem they are pitching against is one that has quietly accumulated across the continent: enterprises made broad, general-purpose AI investments during the first wave of adoption — often in generative AI tools and automation pilots — but struggled to translate those expenditures into documented operational improvements. Okpagu framed the shift directly, saying the market has moved past asking 'how do we use AI?' toward demanding proof that it generates real outcomes, according to Nairametrics.
The methodology the two firms are promoting is deliberately sequenced: start with a client's strategic priorities and value streams, identify the highest-impact operational bottlenecks, then decide whether AI is the appropriate intervention at all — and only then move into engineering and deployment. That 'problem-first' framing is a direct counter to the vendor-led model, where a technology platform is sold first and use cases are retrofitted afterward.
For financial institutions, the partnership envisions applications including intelligent customer operations and automation of repetitive back-office processes. For oil and gas companies, potential use cases include operational optimisation and data analysis across complex workflows. In the public sector, the focus is on administrative process efficiency and improved citizen-facing service delivery — three areas where Nigerian institutions have consistently faced capacity and throughput constraints.
Governance is being positioned as a first-class component rather than an afterthought. Oyeleye stated that organisations cannot afford to separate innovation from governance, and that the right regulatory and operational risk framework must be embedded in an AI deployment from day one. That framing is increasingly relevant in Nigeria, where the National Information Technology Development Agency and the Central Bank have both signalled interest in AI oversight frameworks, and where reputational risk from AI failure in financial services carries outsized consequences.
The venture is structured as a consultancy-and-engineering hybrid: TBO handles strategy, value-stream mapping, and governance design, while Figo AI Labs handles the technical build and deployment. This division of labour matters because most enterprise AI failures in emerging markets trace back to a mismatch between what engineers build and what business leaders actually need to measure. By keeping both disciplines in the same partnership, the firms are at least structurally positioned to close that gap.
For investors and operators watching Africa's enterprise software market, the partnership is a signal that the second phase of AI adoption — monetisation and accountability — is beginning to take shape on the continent. The first phase, characterised by pilots, sandboxes, and awareness programmes, produced limited contracted revenue. The firms are explicitly targeting the cohort of large organisations that have already spent on AI infrastructure and now face board-level pressure to show returns. In Nigeria alone, that cohort spans the country's tier-one banks, its international oil company joint ventures, and federal ministries undergoing digital transformation mandates.
Why it matters: There is no disclosed contract value, revenue figure, or client roster in the announcement, which means the partnership's ambition is currently ahead of its verifiable track record. But the structural logic is sound — African enterprises are sitting on underperforming AI investments, and the first firms to build a credible ROI-measurement methodology will have a durable competitive advantage in a market where enterprise technology budgets are growing and proof of impact is scarce.