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Conversational AI in banking: Enhance service and efficiencyÂ
Offer clients more than just digital banking services with conversational, secure, and omnichannel AI solutions.Â

Conversational AI in banking with InfobipÂ
Banking has gone digital, but customers still expect the human touch in every interaction. Conversational AI empowers financial institutions to provide customers with fast, convenient, and smooth digital interactions that feel personal and empathetic. Infobip’s conversational AI platform makes it easy for banks to build personalized journeys with a no-code builder, or with flexible APIs. This takes static, one-way banking interactions into rich conversations that keep customers loyal and satisfied with their banking experiences.Â

Benefits of conversational AI for banking
Conversational AI offers tangible benefits for both banks and their clients. Keep customers satisfied with personalized and secure interactions while improving operational efficiency of customer support.
24/7 support availability
Conversational AI assistants provide round-the-clock support for banking clients. Banks and financial institutions can be there for their customers when it works best for them – avoiding frustrations and streamlining support.Â
Personalized interactionsÂ
Conversational AI powered solutions allow banks to personalize every interaction. Collect insights from conversations with customers to help build detailed profiles that help you understand your customers and tailor future interactions.Â
Automate routine tasksÂ
Simple queries and interactions tend to take up a lot of customer support resources. By automating routine tasks like onboarding, FAQs, checking account balances, and more, banks can free up busy live agents to deal with more pressing and sensitive issues. Â
Cost efficiency
Banks can cut costs to contact centers and customer service processes by utilizing conversational AI. The AI powered solutions will take care of mundane tasks and queries, reducing the wait time for support and lowering the workload on agents. This allows banks to better allocate resources for customer service.Â
Omnichannel
Conversational AI solutions are more impactful over an omnichannel platform. Customers can start a conversation over a digital channel like WhatsApp, and if a live agent is needed, the conversation can be transferred to Voice where the agent has access to contextualized conversation history to help reduce friction and improve satisfaction with customer service.  Â
Data-driven insightsÂ
Data is critical to making improvements to future interactions. Conversational AI solutions empower banks to collect valuable behavioral and preferential data and analyze it to improve strategies over any channel and use case. Banks can also better understand pain points through conversations with customers and make improvements to operations to offer better service. Â
Conversational AI use cases in bankingÂ
Understand when and how to use conversational AI to improve customer experiences for banking. Infobip conversational AI solution covers a wide range of use cases that resolve pain points for banks and clients.
Create secure conversations and prevent fraud attempts with conversational AI in bankingÂ
Fraud and security threats are a real concern for every bank and financial institution. Infobip conversational AI solutions are built to reduce the risk of security risks when using AI and always protect customer data. Here’s how: Â
RAG pipeline for accurate responsesÂ
Content filteringÂ
Partnerships and integrationsÂ
Learn more about how Infobip secures banking interactions

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Best practices for implementing conversational AI in banking
- Data accuracy and completeness: Ensure that the AI training data is accurate, complete, and up to date. High-quality data is essential for conversational AI to generate reliable and precise outputs.
- Data cleaning and validation: Regularly clean and validate data to remove errors, duplicates, and inconsistencies. This helps maintain data integrity and enhances the AI’s ability to learn and output accurate responses.Â
- Data governance: Implement strong data governance policies to manage data quality, security, and compliance. This includes defining data standards and ensuring adherence across all data sources.Â
- Easy integration: Conversational AI solutions should offer easy integration with your banking infrastructure like CRMs, fraud detection software, marketing automation platform, and more. This will ensure a smooth data flow between systems for the best operational efficiency.Â
- Scalability considerations: Design the conversational AI system to be scalable, allowing it to grow and adapt as your bank’s needs evolve. This ensures long-term viability and flexibility in handling increasing volumes of interactions.Â
- Customer-centric design: Remember who you’re talking to. Your AI solution for banking should be intuitive and easy to navigate for customers. Focus on their needs and pain points and aim to make their journey as convenient as possible.
- Keep communication clear: Ensure that AI responses are clear, concise, and relevant to the customer’s inquiry. Avoid technical jargon and aim for simplicity to enhance user experience.Â
- Collect feedback: Incorporate feedback loops to gather customer input on AI interactions. This feedback is valuable for refining use cases and improving customer satisfaction.Â
- Performance monitoring: Continuously monitor the performance of the conversational AI system to identify areas for improvement. This includes tracking response times, accuracy rates, and user satisfaction metrics.
- Regular updates and training: Keep the AI system updated with the latest data and algorithms. Regular training helps the AI adapt to new trends, regulations, and customer needs, ensuring it remains accurate and relevant.Â
- Security and compliance checks: Regularly review and update security protocols to protect sensitive customer data and ensure compliance. This is crucial for maintaining trust and safeguarding against potential threats.Â
Challenges banks face when implementing conversational AIÂ
Infobip plays an important role in AI-driven banking
By setting standards for integrating advanced AI capabilities into banking solutions, banks can leverage a robust platform to:
- Seamlessly integrate with existing systems
- Ensure data security
- Facilitate personalized customer engagement
Innovative solutions are designed to be scalable and adaptable, helping banks stay ahead of technological advancements. The goal is to empower banks to optimize their AI strategies and deliver exceptional customer experiences every time.Â
The next evolution of conversational AI in bankingÂ
AI is evolving quickly, and conversational experiences are becoming the standard for banking interactions. Here are a few trends banks can expect to see emerging that will level-up their customer journeys with the help of AI:Â
Multimodal interactions
Sometimes message content just isn’t enough. Multimodal AI interactions will enable banking clients to use pictures, videos, and voice of content to interact with AI virtual assistants. This will make customer experiences smoother. For example, customers could send voice notes to AI assistants over their favorite channels explaining their queries or send images of their new credit card to activate them over chat instead of phoning their bank.Â
Personalized financial adviceÂ
Conversational AI can be trained to provide financial advice in particular instances, but with further refining and training, AI solutions will be able to identify and target customers who based on individual customer data, such as spending habits, income, and financial goals. This trend allows banks to offer tailored recommendations for savings, investments, and budgeting, helping customers make informed financial decisions and improving customer satisfaction.Â
Emotionally intelligent AIÂ
Emotional intelligence in AI refers to the ability of AI systems to recognize and respond to human emotions. In banking, this can lead to more empathetic customer service, where AI can adjust its responses based on the emotional tone of the customer, providing a more human-like and supportive interaction.Â
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