AI, particularly Generative AI (GenAI), is significantly enhancing customer service.
It’s revolutionizing how institutions interact with their customers. Here are key areas where AI is transforming customer service:


  • Automation of Routine and Repetitive Tasks: AI handles mundane tasks, freeing up human agents for more complex issues


  • Personalized Customer Experience: AI analyzes data to offer tailored solutions and recommendations


  • Real-Time Support: AI provides instant assistance through chatbots and virtual assistants


  • Reduction of Human Errors: automated systems minimize mistakes in customer interactions


  • Guidance for Customer Service Agents: AI offers suggestions to agents, improving response quality


  • Assignment of Complex Tasks to Agents: AI allows agents to focus on more demanding and high-value tasks


  • Shortened Issue Resolution Time: faster problem-solving leads to increased customer satisfaction


  • Cost Reduction: efficiency gains from AI implementation reduce operational costs


Free AI Consultation

How AI Can Improve Customer Service

AI can significantly enhance customer service by improving efficiency, boosting customer satisfaction, personalizing interactions with the customer. Here are specific ways AI achieves these improvements:

Retail Internet Banking Platform Development - Ailleron

Improved Efficiency

  • Time
  • Priorities
  • Automation

AI increases the productivity of customer service agents by:


  • Reducing the time required to search for information across various documents, systems, or databases
  • Automating tasks such as chat summaries, email/document classification, data extraction, response creation, and action suggestions
  • Automatically resolving tasks that do not require human intervention
  • Prioritising cases to assign priority to those most suitable for human handling
DAP for finance - Aileron

Enhanced Customer Satisfaction

  • 24/7 availability
  • Relevance

Implementing AI in customer service positively impacts customers by:


  • Providing availability through AI chatbots, ensuring customers receive immediate responses even when agents are busy


  • Reducing the time needed to solve customer issues, as agents equipped with AI tools like prompters and assistants can focus on more complex problems


  • Improving the quality of the answers provided through quick searches of the knowledge databases
ailleron complete_digital_solutions


  • Intent sources
  • Predictions
  • Insights

AI enables a personalized approach to customer service by:


  • Offering deeper insights into customer needs, allowing for appropriate segmentation and tailoring of products and services to meet real intents


  • Predicting future customer needs based on past behaviors, enabling businesses to offer proactive support and personalized promotions


  • Tailor communication and customer service based on customer product usage and contact history, including sentiment analysis from chat rooms, reviews, and social media

Key Features Of AI Driven Customer Service Solutions

AI-driven customer service solutions come equipped with a variety of powerful features. Here are some of the most significant:


Large Language Models (LLMs)

These models detect customer and agent intent and generate natural language responses, allowing for positive and open communication


Sentiment Analysis

Capable of gauging customer and agent emotions and sentiments from text, allowing for more tailored responses


Agent Prompters

Assist agents by searching and synthesizing data from various sources


24/7 Chatbots and Videobots

Based on LLMs and NLP, Chatbots and Videobots handle customer inquiries around the clock

Vector Search - ai prompter In banking

Segmentation Solutions

Assign each customer to defined clusters based on multiple dimensions


Recommendation Systems

Enable the preparation of the next best offers for customers


Predictive Analytics

Anticipate customer needs and issues before they arise


Data Extraction Modules

Automate processes including time-consuming manual data extraction


Issue, Document, Email Classification

Streamline the categorization of customer interactions


Easy Integration Support

Enable companies to apply AI to large volumes of data and seamlessly incorporate new data sources



High security standards are relevant in all processes, especially handling customer or other sensitive data


Omnichannel Approach

Create a unified customer experience across different channels

Let’s talk about how we can help your organization with AI based customer service! 

Michał Walerowski

Business Unit Director AI/ML & Data Solutions

man wearing a shirt and jacket

Discover more services to grow your business!