Delivering 24/7 Personalized Banking Experiences with an AI Assistant

0.4 sec

Customer query response time.

24×7

Self-service support accessible by customers for basic tasks.

38%

Increase in customer interaction rate from 12%.
The Process

The client is a leading global bank that set out to enhance the customer experience, particularly around query resolution. The bank relied heavily on traditional methods of customer engagement, requiring customers to navigate complex mobile applications, search through FAQs, visit physical branches, or wait on hold to complete routine tasks. This experience was time-consuming and inconvenient, resulting in reduced customer satisfaction and engagement.

The absence of personalized financial advice further meant customers were missing opportunities for better financial management, while manual processes contributed to inefficiencies and higher operational costs for the bank.

  • Revenue loss stemming from limited customer engagement
  • Inability to offer round-the-clock service availability
  • Low cross sell revenue due to a lack of personalized recommendations
  • Inconsistent customer service across channels
  • A high volume of customer queries straining service capacity
The Solution

Aiwozo deployed a virtual assistant powered by Artificial Intelligence (AI) and integrated with cloud technology to transform the bank’s customer engagement process.

Self-service agents enabled customers to manage routine tasks independently and around the clock, including turning debit cards on or off, checking credit limits, and searching transactions by date, amount, or type.

Personalization agents analyzed customer data to deliver tailored financial tips and actionable insights, guiding customers toward better financial decisions.

Together, these agents shifted the bank’s service model from manual, branch dependent interactions to a digital-first experience, improving customer engagement while automating routine tasks and reducing operational costs.

Challenges Addressed

Key business and operational challenges that limited performance, scalability, and governance before automation was introduced.

  • Revenue loss
  • 24/7 operations
  • Low cross sales revenue
  • Inconsistent customer service
  • Large volume of customer queries
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