On February 10, 2026, two influential voices in the world of finance—Imran Aftab, Co-Founder and CEO of 10Pearls, and Sibahle Malinga, senior news journalist for ITWeb—brought attention to a pivotal moment in the global financial sector. Their insights, drawn from recent industry findings and first-hand analysis, reveal a sector racing to embed artificial intelligence (AI) and digital technologies into its very core, but also grappling with the challenges of governance, regulation, and talent shortages. The stakes are high: get it right, and the rewards are immense; get it wrong, and the risks could undermine the very trust on which financial institutions are built.
According to Imran Aftab, whose commentary was widely read by executives at major firms like JP Morgan, Coinbase, Blackrock, and Klarna, the financial industry has always been a front-runner in digital innovation. But with the recent surge of AI, the landscape has changed. The question for fintechs is no longer whether AI brings value—this is now a given—but how to govern it responsibly over time. Without clear guiding principles and a central governance framework, fintechs risk running afoul of reputational, regulatory, and security pitfalls. "A living framework not only covers all bases, but does so while keeping pace with evolving strategies. It propels, not curbs, innovation—without compromising fintechs in the process," Aftab asserted.
This need for robust governance is echoed in the findings of the African Financial Industry Barometer 2025, reported by Sibahle Malinga. The survey, released this month by Deloitte in partnership with the Africa Financial Summit, paints a picture of a continent at a technological crossroads. More than 70 banking, insurance, fintech, and capital market firms across Africa participated, and the results were striking: 81% of respondents cited digital transformation as a top priority for their 2026 strategy, with AI and cloud computing moving from buzzwords to business imperatives.
Yet, the journey is far from smooth. The Barometer found that while fintech firms lead the pack in digital maturity—67% classify themselves as digital leaders—traditional banks and insurers are closing the gap. Banks now see 45% of their ranks as advanced in digital technology, with insurers showing the fastest year-on-year improvement at 59%. "These gains reflect a shift from digital experiments toward operational deployment: technology is increasingly used to underpin core functions like fraud detection, risk management and customer servicing, rather than just customer-facing novelty," the report noted.
AI, in particular, is transforming from a fringe innovation to a core operational tool. The Barometer revealed that 77% of executives expect AI to have a strong or transformative impact on fraud detection, while 70% see it optimizing operational processes. But as both Aftab and Malinga highlight, the risks of ungoverned or poorly managed AI are significant. Unchecked, AI can fall prey to hallucinations and bias, erroneously flagging legitimate transactions or discriminating against certain demographics based on skewed data. "Discrimination not only damages trust and relationships but also has long-term ramifications on an institution’s reputation, particularly as it directly breaks consumer protection laws," Aftab warned.
The consequences of poor data management are not merely theoretical. When AI systems are misinformed by inaccurate or incomplete data, the fallout can be severe. Teams may find themselves wasting time and resources intervening in cases where the AI has made mistakes, and the institution’s foundation is revealed to be alarmingly fragile. Aftab stressed the importance of continuous monitoring, testing, and recalibration of AI models—a living governance framework that evolves alongside the technology and the risks it faces. Such a framework, Aftab argued, "requires continuous monitoring, testing, and recalibration of AI models. This enables financial providers to maximize their security robustness on a constant basis while regularly evaluating and updating systems as data and risks evolve."
Transparency and explainability are also critical. Both customers and regulators need to understand how AI systems arrive at their decisions, especially when these decisions affect access to credit or flag transactions as suspicious. In the United States and elsewhere, regulations like the Consumer Financial Protection Bureau (CFPB) and Fair Lending laws demand that AI systems be explainable and traceable. "All model changes, tests, and observations are recorded. Decision logic is communicated so that regulators and customers, and not just operators, understand how and why an AI system reached a recommendation or action," Aftab explained.
Anti-money laundering (AML) compliance is another area where AI is making a significant impact, but also where the risks of false positives and negatives are pronounced. If AI is not properly governed, legitimate transactions can be wrongfully flagged, frustrating customers and wasting valuable manpower. On the flip side, real threats can slip through the cracks, jeopardizing entire datasets and digital systems. With a governance-as-guardrails approach, these risks are minimized through well-managed, transparent, and auditable data. Immediate, actionable insights ensure that interventions can be swift and effective.
Meanwhile, in Africa, the regulatory landscape is struggling to keep pace with technological innovation. The Barometer found that 66% of respondents view current regulations as insufficient to fully support digital finance initiatives, particularly around AI deployment, cybersecurity, digital identity, and cross-border payments. As institutions race to adopt new technologies, they face a dilemma: innovation is moving faster than policy, creating both opportunities and risks. One executive quoted in the study noted, "Innovation is moving faster than policy, which creates both opportunities and risks for financial institutions across Africa."
Regulators are responding by tightening oversight, especially around cybersecurity frameworks, digital identity, and AML compliance. This is embedding technology even more deeply within governance agendas. To bridge the gap between innovation and regulation, many institutions are seeking collaborations with fintech firms, telecoms, and regulatory sandboxes—safe environments in which new solutions can be piloted before wider rollout.
Yet, one of the most stubborn challenges remains the shortage of digital skills. Despite the excitement and investment in technology, many African financial institutions struggle to build a robust pipeline of tech talent. This talent gap is compounded by shifting risk priorities and the ever-present threat of cyberattacks as online services and mobile channels expand.
Both Aftab and the Barometer’s findings point to the same conclusion: the future of finance hinges on the ability to balance innovation with governance. For fintechs and traditional institutions alike, success will depend not just on deploying cutting-edge technology, but on embedding living frameworks that ensure fairness, accuracy, transparency, and compliance. As digital platforms and AI continue to reshape the industry, the journey toward full digital maturity will require ongoing investment in talent, standards, and governance that can keep up with the relentless pace of change.
With the world watching and the stakes higher than ever, financial institutions face a defining test—one that will determine not only their own fortunes, but the trust and security of the customers they serve.