Transforming Customer Service with Operational AI
Imagine a bank where your queries are resolved in minutes by a chatbot that understands your needs, or an e-commerce platform where a virtual assistant guides you through every step of your purchase. But the reality isn’t always seamless. Customers often face long, impersonal FAQ sections or frustrating automated responses.
We integrate AI into your customer service in a way that enhances both the human touch and the efficiency of generative AI. From improving search to personalising conversations, we ensure that your customers feel supported—not abandoned to a machine.
We integrate AI into your customer service in a way that enhances both the human touch and the efficiency of generative AI. From improving search to personalising conversations, we ensure that your customers feel supported—not abandoned to a machine.
Common challenges in Customer Service
While implementing AI for customer service departments, we’ve identified several challenges:
- Mediocre, too general chatbots. Leveraging that kind of solutions doesn’t improve customer experience and brings frustration for customers
- Untapped internal resources, documentation or product manuals. Companies have tons of documents, presentations or demos but simply cannot leverage it power due to dispersed locations. It leads to manual, repetitive work
- Growing demand for increased personalisation which impacts the way how customers interact with platforms and products. Ignoring it leads to lose of customers
- Growing customers interactions which are hard to handle with limited resources. Clients require interactions in real-time when they need, almost 24/7. Missing it leads to lost opportunities or client’s dissatisfaction
- Matching of call center agents with customer specific cases or customers (e.g., angry customer which requires more empathic agent). In lots of cases, agent starts with asking about the basic information where all this information is already in their systems! It leads to poor customer experience
Areas of support in Customer Service
Personalise customer interactions with AI
Leverage AI-driven insights to predict and align customer actions based on their unique behaviours. By offering tailored recommendations, you maximize the value of your services and build deeper, more personalised customer relationships.
Improve client experience
Improve client experience with AI-powered chatbots that handle routine customer interactions. With 24/7 availability, these chatbots not only save time and resources but also improve the efficiency of your support team, letting them focus on higher-value tasks.
Scaling support with knowledge utilisation
Turn your internal knowledge —articles, videos, and manuals — into a powerful self-service tool for your customers. By offering instant answers through advanced AI search, you boost customer satisfaction and reduce the need for manual support.
Seeks for improvement in Customer Service?
Our experts provide clear, actionable advice on the best AI use case for your business.
Tailored use-cases for AI in Customer Service
We are a team of AI specialists with extensive experience in implementing AI solutions for Customer Service Operations across mid-size and enterprise organizations. Our expertise in AI for customer service dates back over a decade, long before the rise of tools like ChatGPT or the integration capabilities with OpenAI’s API. Discover the core areas where we empower Customer Service teams!
Predicting customer behavior
EU AI Act: Limited risk
Understanding and predicting customer behavior is key to delivering personalised experiences and staying competitive in B2B and B2C markets.
- Problem: customer service teams often struggle to anticipate customer needs and provide personalised recommendations, leading to missed engagement opportunities and lower satisfaction
- Solution: we implement AI-driven models that analyse transaction data to predict customer behaviours, allowing service teams to anticipate actions and offer tailored product recommendations
- Results: this approach can increase conversion rates, strengthened customer relationships through personalisation, and provided actionable insights that empowered proactive service strategies
Streamlining customer service processes through automation helps businesses reduce costs and improve response times.
- Problem: customer service teams were overwhelmed by repetitive queries, resulting in slower response times and higher operational costs.
- Solution: we deploy AI-powered chatbots to handle common customer queries and resolve issues using advanced Generative AI components, reducing the load on human agents.
- Results: this automation can reduced response times, significantly lowered operational costs, and freed up customer service teams to focus on more complex tasks, leading to enhanced customer satisfaction.
Chatbots for efficient support
EU AI Act: Low or minimal risk
Generative search for product portfolios
EU AI Act: Low or minimal risk
Quick and efficient access to product information is critical for delivering quality customer support.
- Problem: customer service teams struggle to provide timely support due to scattered and non-digitised product documentation, resulting in delays in resolving customer inquiries
- Solution: we implement an AI-powered search engine within a chatbot interface to extract and organize data from various sources, making it easier for teams to access relevant information instantly
- Results: it can reduce the time needed to find information, improved the organization of product documentation, and increased customer satisfaction by enabling faster, more accurate responses.
FAQ – most frequent questions to AI in Customer Service
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Review our other Operational AI use-cases for other departments
Marketing Operations
Performance management
Sales
Operations
Finance Operations
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