monday service and AI: The smart solution for modern customer service

In this article, we'll show you how to use monday Service and artificial intelligence to modernize your support processes, automate repetitive tasks and help your customers faster - personally, efficiently and scalably.

Posted on
April 8, 2025
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Outstanding customer service is no longer just a competitive advantage - it's a necessity. Customers expect fast, personalized, and accurate answers, while support teams are faced with a constantly growing volume of tickets. Companies that do not operate efficiently here risk dissatisfied customers and inefficient processes. But what if there was a solution that not only optimizes your service processes, but also actively thinks along with you?

monday Service is exactly that solution. Through the use of Artificial intelligence (AI) monday Service transforms your company into a highly automated, intelligent and responsive service organization. In this blog post, we show why monday Service is one of the best ticket and customer service platforms on the market and how it helps you make processes more efficient.

Why monday service? The smart solution for modern customer service

The days of manual ticket processing, delayed responses, and messy support processes are gone. monday Service combines powerful automation with cutting-edge AI technologyto provide companies with a tailored service management platform.

Whether IT support, HR inquiries or traditional customer service - monday Service ensures that the right inquiries reach the right people in real time. With automation, self-learning algorithms, and intuitive workflows, you can revolutionize your service processes.

The benefits of monday service

Faster response times

Thanks to AI-supported ticket analysis and forwarding, inquiries end up directly with the right contact person.

Higher efficiency

Automations reduce manual tasks so your team can focus on really important cases.

Scalability

Regardless of whether you are a start-up or a corporation, monday Service grows with your requirements.

Better transparency

With customizable dashboards, you always have an overview of the status of all requests.

Higher customer satisfaction

Quick and precise answers increase satisfaction and therefore customer loyalty.

Source: monday.com

The most important features of monday Service

The integration of artificial intelligence into monday Service ensures that repetitive tasks are automated, inquiries are processed faster and that more personal customer experiences are created. We have listed a few application examples here.

AI-powered ticket categorization

Every request is unique — but not all need to be treated the same way. monday Service uses AI to automatically analyze incoming requests and categorize them into the right category based on keywords or context. As a result, technical inquiries end up directly with IT support, while payment requests are forwarded to the accounting department. Prioritization can also be automated: urgent problems are immediately identified and prioritized upwards.

Example: An e-commerce company receives hundreds of customer inquiries every day. Instead of an employee having to fight their way through every single message, monday Service with AI immediately recognizes whether it's a refund request, a product question, or a technical problem — and forwards the ticket to the right team.

AI service agent for your support team

Imagine if your customer service team had a digital assistant who answered routine questions independently and intelligently pre-filters more complex inquiries. monday Service's AI Service Agent does just that!

AI-powered chatbots can answer simple queries in real time before they're forwarded to a human agent. This significantly reduces waiting times and ensures that the support team only has to process complex inquiries.

Example: A customer asks how to reset their password. Instead of waiting for an answer from an employee, they receive automatically generated but personalized instructions in seconds — saving your support team valuable time.

Automatic redirection

Requests that end up in the wrong department significantly delay support. monday Service ensures that tickets are forwarded directly to the right point of contact — based on ticket category, team availability and AI-based analysis.

Example: A complaint about an invoice ends up directly with the finance team, while a software problem is forwarded to the IT support team — without the need for manual sorting.

Source: monday.com
Knowledge space powered by AI

Your customer service is only as good as the knowledge it can access. monday Service offers AI-supported knowledge management that helps employees and customers quickly find the right answers.

So instead of having support agents manually document every ticket, AI can create automatic summaries of conversations. As a result, knowledge is retained and can be used in a knowledge database to deliver faster solutions.

Example: A new member of the support team doesn't know how to handle a specific request. Thanks to the AI-supported knowledge base, he receives the appropriate solution article within seconds — without having to rely on the help of a colleague.

Source: monday.com
Real-Time Analytics and Dashboards

Which inquiries occur most frequently? How long does processing take? Where are there bottlenecks? monday Service provides detailed reports and dashboards that allow you to continuously optimize your support.

Example: By analyzing support data, a company recognizes that 30% of all inquiries are about a specific product. The team can then create a more detailed FAQ page and introduce automated answers.

Source: monday.com

What are the challenges of AI ticketing systems?

AI ticketing systems can be a real revolution, especially for small and medium-sized companies that want to scale efficiently. But despite the many benefits, there are some challenges that must be considered when implementing this technology. However, with a well-thought-out strategy and realistic expectations, these hurdles can be successfully overcome.

AI training

For an AI ticket system to work reliably, it must be trained with diverse and high-quality data. Incomplete or incorrect records can result in inquiries being misinterpreted and tickets not being forwarded to the right employees. Careful data preparation and continuous optimization are therefore essential.

Data quality as a success factor

It is not only the quantity, but above all the quality of the data that determines how precisely the AI reacts to customer inquiries. Inaccurate or outdated data can not only lead to inefficient processes, but can also have a negative impact on the customer experience. In extreme cases, this can even have legal consequences if false information is shared.

Continuous maintenance and adjustment

An AI ticket system is not a one-time installation, but a dynamic system that must be continuously optimized. Data must be regularly updated, rules adjusted, and models improved to deliver accurate results. This can be particularly challenging for smaller teams, as it requires additional resources for maintenance and monitoring.

Security issues and data protection

Dealing with sensitive customer data makes data protection one of the key challenges. AI ticket systems process large amounts of data, which makes compliance with security standards particularly important. Companies should define clear guidelines for handling data and ensure that all employees are aware of them.

Integration into existing systems

The seamless connection to existing CRM, ERP or service management platforms is essential in order not to disrupt work processes. Without good integration, a new AI ticketing system can not only be expensive but also inefficient. Solutions such as monday Service, for example, offer smart integrations that complement existing workflows instead of interrupting them.

Source: monday.com

Conclusion: Why monday Service is the right choice for your company

monday Service offers one of the most advanced and powerful service management approaches on the market. Thanks to AI-supported automation, intelligent ticket management and powerful analysis tools, monday Service increases efficiency, transparency and customer satisfaction.

Companies that want to modernize their service processes and make them future-proof will find the perfect solution in monday Service.

As official monday.com gold partner Blinno supports you in the smooth implementation of monday Service in your company. With our expertise in no-code consulting, automation and process optimization, we ensure that you utilize the full potential of monday Service.

FAQ – monday.com, Tools & AI

FAQ – monday.com, Tools & AI

No, although both tools are known for work management, Airtable focuses on data management, while monday.com is more centered on work and CRM management.

monday.com is consistently rated higher, especially on platforms like G2 Reviews, where it leads in all categories.

Yes, although there is no native integration, you can connect monday.com and Airtable using tools like Zapier.

monday.com offers more communication capabilities and is ideal if you need a platform that supports multiple use cases and centralizes your workflows.

No, monday.com is a Work Operating System (Work OS) for project management and collaboration, while Abacus is an enterprise architecture tool focused on visual modeling of business data.

monday.com generally receives very positive reviews for its ease of use and flexibility. Abacus has fewer public reviews but is valued by companies for its specialized enterprise architecture features.

There is no direct integration between monday.com and Abacus. However, both tools can be used together in an organization—monday.com for daily project management, and Abacus for strategic IT planning and enterprise architecture.

monday.com is aimed at a broad range of companies and teams looking to improve their project and workflow efficiency. Abacus is geared toward larger organizations that need detailed modeling of their IT landscape and business processes.

monday.com is known for its high level of customization in workflows and views. Abacus offers specific customization options for enterprise architecture modeling relevant to its niche.

Both monday.com and ClickUp are popular tools for project management and team collaboration. Which one is “better” depends on your specific needs.

ClickUp is well-regarded as a project management tool, but users report some downsides. These include a steep learning curve due to its extensive features, and occasional frustrations with platform slowdowns.

monday.com is popular due to its user-friendly interface, customizable templates, and powerful automation options. The platform also offers excellent 24/7 customer support. Thanks to its strong focus on team collaboration and comprehensive work management features, it’s easy to see why monday.com is the first choice for businesses of all sizes.

AI-powered ticketing systems are designed to support teams by pre-sorting incoming requests and automatically handling standard queries. This allows urgent or complex issues to be resolved more quickly. However, the human factor remains essential: AI should be seen as a supportive tool—not a replacement. These systems require regular monitoring and optimization, and in many cases, human intervention is needed to address individual or particularly demanding customer concerns.

No, an AI-powered ticketing system is not the same as a CRM. A CRM helps manage customer relationships throughout the entire lifecycle—from lead generation to long-term support—while an AI ticketing system focuses on efficiently handling incoming customer inquiries. Both systems can be combined to create a seamless, comprehensive customer service experience.

AI-powered ticket management optimizes workflows by intelligently analyzing, categorizing, and routing customer requests—far beyond the capabilities of traditional systems. By automating repetitive tasks, support teams gain valuable time to focus on complex customer issues and respond faster to urgent inquiries. This leads to more efficient processes and an improved customer experience.

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