Banks in Kenya Using AI and Chatbots for Customer Service

How Banks in Kenya Are Using AI and Chatbots for Customer Service

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Banks in Kenya are increasingly integrating AI and Chatbots to improve customer service and meet growing demand for digital banking solutions. With mobile penetration now above 93%, more customers are interacting with banks through messaging platforms, driving institutions to automate routine services and reduce reliance on physical branches.

According to the Kenya Bankers Association 2024 Customer Satisfaction Survey, 56% of customers now prefer self-service channels such as chatbots, up from 45.7% a year earlier. The findings show how digital adoption is reshaping customer expectations, with fast and round-the-clock service becoming essential in banking.

Chatbots Driving Everyday Banking Interactions

Equity Bank Kenya Limited has been among the early adopters with the launch of its Equity Virtual Assistant (EVA) in 2022. EVA is available through WhatsApp (+254 763 000 000), Facebook Messenger, and Telegram, allowing customers to check balances, view mini-statements, buy airtime, transfer funds, and pay bills.

Supporting both Swahili and English, the chatbot has extended banking services to remote areas where access to branches is limited.

KCB Group introduced KCB Kafirimbi in 2018, offering real-time responses to balance inquiries, transaction history checks, bill payments, and loan applications. The chatbot is integrated with WhatsApp, social media platforms, and the bank’s website, reducing response times from hours to seconds and easing pressure on customer care centers.

In 2020, Absa Bank Kenya launched Abby, a WhatsApp-based chatbot that facilitates payments, fund transfers, and cardless withdrawals. Abby also uses AI analytics to offer personalized loan suggestions based on spending patterns.

Other institutions have deployed similar tools. Co-operative Bank of Kenya rolled out Copora in 2020, while NCBA Bank Kenya launched Celva in 2019.

These chatbots support account opening and transaction tracking, using natural language processing (NLP) to communicate in local dialects such as Luo. This localized approach has helped increase digital adoption among rural customers.

Why Banks Are Turning to AI

The growing number of banks in Kenya using AI and Chatbots for customer service shows how these tools are transforming customer experiences. Chatbots respond to inquiries in under 10 seconds and can handle large volumes of requests simultaneously. For banks, this has led to savings in call center expenses and better data insights for product development.

A study by Akili AI and iXAfrica Data Centres in September 2025 found that digital-first banks using AI serve customers more efficiently and at lower cost than those relying on traditional service models.

Adoption Still Uneven Across the Sector

Not all institutions have reached the same adoption level. A July 2025 survey by the Central Bank of Kenya found that only 34% of commercial banks had achieved moderate to advanced AI maturity.

Many still rely on hybrid models where chatbots manage basic queries while human agents handle complex issues. This is mostly evident during sensitive cases such as fraud disputes or chargeback requests.

Regulation, Security, and Cost Remain Hurdles

The adoption of AI and Chatbots in Kenyan banking comes with strict compliance requirements. Under regulations from the Office of the Data Protection Commissioner, banks must ensure chatbots protect sensitive customer data. Any breach carries legal and financial consequences, making security a priority.

Smaller banks face cost barriers, including high setup expenses, system maintenance, and the need for specialized technical staff. This has slowed chatbot deployment outside the largest financial institutions.

What the Future Holds

The National AI Strategy 2025–2030 aims to expand chatbot functionality beyond basic transactions. This includes integrating predictive analytics and voice-enabled features, allowing banks in Kenya with Chatbots to offer personalized financial advice, smart budgeting, and real-time spending forecasts.

Integration with M-Pesa is also expected to deepen, improving interoperability between banking and mobile money platforms.

As more banks in Kenya using AI enhance their chatbot systems, customer service is moving toward faster, more personalized, and more accessible digital experiences. While security, cost, and user satisfaction remain challenges, the role of chatbots in Kenya’s banking sector is expected to grow substantially over the coming years.

Jefferson Wachira is a writer at Africa Digest News, specializing in banking and finance trends, and their impact on African economies.

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