Ameyo met our desired expectations as well as improved our quality of service.

Gulf African Bank

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    Use Case

    Customer Service & Customer Support






    About Gulf African Bank

    Gulf African Bank is the first and largest Islamic Bank in Kenya and one of the fastest growing banks in the history of the banking sector of the country. The bank offers fully Shari’ah compliant products and services that address the needs of not just Muslims, but everyone in the country including individuals, corporate companies, and institutions. Transactions are based on model Islamic economics – forbidding interest – an alternative to conventional banking. By conducting business on the principles of Shari’ah, the bank provides an ethical and fair model of “banking for all”.

    GAB is an award-winning financial institution on both a local and international scale. In 2016, the company was crowned the best bank in Financial Management and Productivity and Quality at the annual Company of the Year Awards (COYA).


    • Lack of Proper Reporting
    • Measuring Agent Performance
    • Poor Call Management
    • Back office Ticket Management


    • Detailed insights into process performance, campaign productivity
    • Detailed reports for call analysis & reporting
    • Intelligent IVR system made call management quick and easy

    Ameyo's Solution

    Ameyo helped Gulf African Bank make their business more efficient and profitable by offering them unique features such as the Intelligent IVR, ACD with intelligent routing, Voice Logger, and Ticket Management. With Ameyo’s 24X7 support, GAB’s customer  support was streamlined and thus, helped them gain customer’s trust. The Voice Logger feature allowed complete voice recording, access, and management of all interactions between customers and agents to allow them to improve their customer service.

    The solution also enabled agent performance & call reporting through which they were able to analyze and examine calls later on, while the IVR and ACD helped customers receive quick responses to their queries by connecting to the most relevant agent.