iXAfrica and Akili AI Spotlight Kenya’s Readiness for the AI Banking Revolution

Over the last three years, Artificial intelligence (AI) has taken the world by storm and rapidly changed the world as we know it. While AI has been in development since the 1950’s, it only recently became accessible to the general public. This is because Predictive AI, which has existed long before generative AI, is expensive to deploy, confining its use to few industries such as finance, healthcare, and education.

The banking industry has been an early adopter of AI since the 1980’s, utilising artificial intelligence in financial services such as expert systems, algorithmic trading, and neural networks for credit approval and fraud detection. With nearly 50 years of successful AI adoption and integration, the industry stands to gain a stunning upward traction in the current dawn of generative AI.

According to a report by Akili AI on Banking and AI in Kenya, generative AI can be thought of as a general tool that can be applied in a number of ways and is likely to be as impactful to finance as the Internet or the Spreadsheet. In a survey of senior management and board members from the country’s leading banks, 80% agreed that generative AI will be transformative for the sector. Generative AI presents an opportunity to established banks; improved margins, improved products (like faster customer onboarding) and reduced operating costs.

McKinsey approximates that generative AI will fundamentally change the nature of banking operations by 2030 and be responsible for a 3-5% total growth in banking revenue globally. They posit that while AI has been enthusiastically embraced by the financial sector in the US, Europe and Asia, it is still at a formative stage in Africa.

Simon Bransfield-Garth, CEO of Akili AI, opines that the AI revolution is at hand, and urges local banks to strike while the iron is still hot: “The AI revolution in banking is not a distant future, it’s happening now. Kenyan banks have the opportunity to embrace AI to reduce costs, reach more customers, and innovate, in a market that is likely to become increasingly competitive with new digital entrants, including AI-native challengers.”

Read on to learn some of the ways AI is poised to change the banking and finance sector in Kenya:

Customer Experience & Service

• Chatbots & Virtual Assistants: AI-powered bots provide 24/7 customer support, helping with account inquiries, transactions, and troubleshooting. This reduces wait times and operating costs.
• Personalised Banking: AI analyses customer data (spending habits, income, goals) to provide tailored financial advice, budget suggestions, and product recommendations.

Fraud Detection & Security

• Real-time Fraud Monitoring: Machine learning models flag unusual account activities instantly (e.g., strange spending patterns, login attempts from odd locations).
• Identity Verification: AI enhances biometric authentication (facial recognition, voice ID, fingerprint scans) for secure access.

Financial inclusion

• Microloans & Alternative Lending: AI enables banks to serve unbanked populations by analyzing nontraditional data sources (mobile payments, social media patterns).
• Language Processing: AI systems support multilingual customer interactions, expanding access to diverse populations.

Risk Management & Compliance

• Credit Scoring: AI looks beyond traditional credit histories, incorporating alternative data (like payment patterns or online behavior) to assess creditworthiness—helping expand financial inclusion.
• Regulatory Technology: AI automates compliance checks, monitoring transactions for money laundering (AML) or terrorist financing, and reducing manual oversight costs.

Process Automation

• Robotic Process Automation (RPA): AI streamlines repetitive tasks (loan processing, KYC checks, document verification), cutting costs and errors.
• Smart Contracts: In areas like trade finance, AI and blockchain combine to automatically execute agreements when conditions are met.

Investment & Wealth Management

• Robo-Advisors: AI-powered platforms provide automated, low-cost investment advice, portfolio rebalancing, and retirement planning.
• Predictive Analytics: AI models forecast market trends, optimize trading strategies, and assist human advisors with data-driven insights

Operational Efficiency

• Cost Reduction: By automating back-office functions, banks save millions annually.
• Decision Support: AI enhances executive decision-making by processing massive data sets and simulating scenarios.

For Snehar Shah, CEO of IXAfrica, this is not only a rallying call but an affirmation of Kenya’s capacity to be a leader in AI adoption: “We have the infrastructure, talent, and market readiness to lead in AI adoption in Kenya, but AI is moving at an unprecedented speed and action is needed by companies today, not tomorrow.”

Akili AI is a leading African artificial intelligence company helping businesses unlock efficiency, innovation, and growth through advanced AI solutions. Focused on responsible AI adoption in Africa’s financial sector, Akili AI works with institutions to modernize banking operations and elevate customer experiences using generative AI. With expertise rooted in Kenya and Cambridge, UK, the company designs tailored solutions for onboarding, compliance, loan processing, and customer support—while maintaining strict adherence to regulatory and governance standards. Akili AI empowers banks to confidently embrace the AI-driven digital era and seize new opportunities for sustainable growth. Learn more at www.akili-ai.com