How do enterprises leverage GenAI for better services and operations?

AI will not only change service management; it will make or break its future.

This bold assertion is no longer a prediction anymore, it’s a reality. In the digital age, the seamless functioning of service management and operations is paramount — efficient, cost-effective, and user-centric.

Recent studies show that AI-driven service management tools can boost efficiency by up to 40%. Surprisingly, only a fraction of enterprises have truly harnessed AI’s full potential. Why? Is it the fear of the unknown, or the reluctance to embrace change?

In our webcast, “Leveraging AI for Enhanced Efficiency and Quality in Service Management,” we highlight some key topics of using AI in a corporate context.

For professionals like technology advisors, CIOs, digitalization experts, and service owners, overlooking AI isn’t an option.

Are you ready to challenge the status quo and push the boundaries of what’s possible in service management?

The Age of AI in Service Management

In the ever-changing landscape of service management, AI isn’t just an addition; it’s a revolution. It’s the kind of seismic shift that comes once in a generation, altering everything in its path. For the uninitiated, it might seem like just another tech wave, but for industry insiders, it’s a tidal wave reshaping the shorelines of efficiency and innovation.

A Paradigm Shift

Forget the old ways. AI, particularly genAI and enterprise AI, is rewriting the rulebook. It’s not about replacing human ingenuity; it’s about augmenting it. Imagine AI as the ultimate assistant, tackling mundane tasks and freeing up human minds for creative and strategic thinking. That’s not the future; it’s happening right now.

Automation Unleashed

Think about routine tasks like incident management or process automation. With AI, these are no longer the time-consuming, error-prone tasks they once were. AI brings a level of precision and speed that manual processes can’t match. According to a survey, companies integrating AI into their service management have seen a 30% reduction in operational costs. That’s not just improvement; that’s transformation.

Adapting to Change

But it’s not all smooth sailing. The adoption of AI brings its own set of challenges. There’s a learning curve, a need for cultural shifts within organizations, and the ever-present fear of the unknown. The key lies in understanding that AI is a tool, not a threat. It’s about harnessing its potential to elevate service management to new heights.

In this age of AI, staying ahead means embracing change, not shying away from it. It’s about being bold, innovative, and ready to redefine the norms. As we delve deeper into AI’s role in service management, let’s take a closer look at a real-world application that’s setting the standard: ServiceNow.

Case Study: AI in Action with ServiceNow

ServiceNow, a cloud-based platform, stands as a prime example of AI’s transformative power in service management. It’s not just about automating tasks; it’s about redefining how they’re executed.

ServiceNow leverages AI to enhance change management, a critical aspect of IT services. Traditional change management is often bogged down by manual processes, leading to delays and errors. But AI, is the game changer. For instance, AI algorithms analyze and refine change requests, streamlining the process and significantly reducing service outages and incidents.

Data-Driven Decisions

The magic of AI in ServiceNow lies in its ability to sift through massive amounts of data. It’s like having a supercomputer that can spot trends, predict issues, and suggest solutions in real-time. This capability is crucial in managing complex IT environments where the margin for error is slim.

Risk Mitigation

One of the biggest challenges in service management is risk. AI transforms this challenge into an opportunity. By preemptively identifying potential problems and suggesting mitigation strategies, AI reduces the likelihood of major incidents. This proactive approach is a game-changer, ensuring reliability and stability in IT services.

Customer Impact

The benefits extend beyond internal processes. Customers experience faster resolutions, more reliable services, and a noticeable improvement in overall satisfaction. This isn’t just about keeping pace with expectations; it’s about setting new standards.

ServiceNow’s adoption of AI showcases the immense potential of this technology in service management. It’s a testament to AI’s ability to not just enhance but revolutionize the way services are managed and delivered.

Enhancing Quality and Speed with AI

The integration of AI in service management isn’t just about doing things faster; it’s about doing them better. This synergy of quality and speed is where AI truly shines, revolutionizing tasks that were once considered mundane or overly complex.

Quality at the Core

The essence of AI’s impact lies in its ability to enhance the intrinsic quality of tasks. Take GitHub Copilot, for example. This AI-powered tool assists developers in writing more efficient, error-free code. It’s not just about speed; it’s about creating something robust and reliable. This kind of support is invaluable in today’s fast-paced development environments where the demand for quality is as high as the need for speed.

Revolutionizing Creative Processes

Consider Runway, a platform revolutionizing video editing. What once took hours, now takes minutes. But it’s not just the time saved; it’s the creative potential unleashed. AI in Runway enables creators to experiment with ideas that were previously constrained by time or skill limitations. This isn’t just automation; it’s innovation.

Speed as a Service Enhancer

In service management, speed is often equated with efficiency. AI accelerates decision-making processes, automates routine tasks, and provides insights at a pace no human could match. This increase in speed doesn’t compromise quality; it enhances it. Faster response times, quicker resolutions, and more time for strategic thinking translate into a higher quality of service.

Balancing Act

However, this balance between speed and quality isn’t automatic. It requires a thoughtful integration of AI, where the technology complements human expertise rather than competes with it. The real challenge lies in harnessing AI’s capabilities to create a harmonious workflow that maximizes both these aspects.

Minimizing Human Error with AI

One of the most profound impacts of AI in service management is its ability to significantly reduce human error. In an environment where precision is paramount, this aspect of AI is not just beneficial; it’s transformative.

Precision in High-Stakes Tasks

In tasks that demand high accuracy, the margin for error is often slim. AI’s ability to process and analyze vast amounts of data quickly and accurately becomes invaluable here. For instance, in healthcare, AI assists doctors in surgeries, offering insights drawn from medical databases that enhance precision and improve outcomes.

Error Reduction in IT Services

In the realm of IT service management, AI’s role in minimizing errors is equally crucial. By automating complex processes and analyzing data for anomalies, AI prevents many errors that could arise from manual handling. This capability is especially vital in areas like cybersecurity, where the cost of an error can be immense.

Learning from Mistakes

AI systems are not just programmed to perform tasks; they are designed to learn from their interactions. This means that over time, AI systems can become more adept at identifying and avoiding potential errors, continually improving the quality of service management.

The Human-AI Collaboration

It’s essential to recognize that AI’s role in reducing human error is not about replacing human judgment but enhancing it. The collaboration between human expertise and AI’s precision creates a powerful synergy, leading to more reliable and efficient service management.

AI-Powered Customer Support: The New Frontier

The advent of AI in customer support represents a major shift, not just in how queries are handled, but in the entire customer experience landscape.

Efficient Query Handling

AI’s most noticeable impact on customer support is its ability to handle inquiries more efficiently. Chatbots and AI-driven support systems can manage a vast volume of requests simultaneously, providing quick responses to common queries. This efficiency doesn’t just reduce wait times; it transforms customer expectations of what timely support looks like.

Personalization at Scale

AI goes beyond more efficiency and brings personalization. By analyzing customer data, AI can tailor responses and recommendations, offering a more personalized experience. This level of customization was once the domain of human-only interactions but is now being achieved at scale with AI.

Enhancing Satisfaction

The ultimate goal of AI in customer support is to improve satisfaction. By ensuring quick, accurate, and personalized responses, AI plays a crucial role in enhancing the overall customer experience. Satisfied customers are more likely to remain loyal and recommend services, driving business success.

The Human Touch

Despite AI’s advancements, the human element remains irreplaceable in customer support. AI excels at handling routine queries, but complex issues often require a human touch. The key to success lies in striking the right balance between AI efficiency and human empathy.

Navigating Challenges

Integrating AI into customer support isn’t without its challenges. There are concerns about AI’s understanding of complex human emotions and nuances. The solution lies in continuous learning and improvement, ensuring AI systems become more adept at handling varied interactions.

Key Takeaways

Let’s recap the key insights:

As we’ve explored these facets of AI in service management. It’s clear that technology is not just a tool; it’s a game-changer. It’s redefining what’s possible, pushing boundaries, and opening new horizons for innovation and efficiency.

Don’t miss this opportunity to be at the forefront of the AI revolution in service management. It is not just a trend to watch; corporates already ride it. For professionals aiming to stay ahead, understanding and leveraging AI’s potential is no longer optional; it’s imperative.


Teiva Systems is a ServiceNow Premier Partner and provides advisory, architecture, implementation, training and support services. Teiva Systems specialises in building custom applications and integrations with App Engine Studio and Platform Intelligence considering common data model, security, business intelligence, machine learning, integration layer across various industries and regions, especially USA, Germany, Switzerland, Austria, Lithuania, Ukraine.

Kostya Bazanov is ServiceNow Leading Architect and Technology Advisor since 2011. He acted in various roles such as technical consultant, implementer, solution architect, team lead in national and global projects and ServiceNow platform rollouts. Kostya is certified in ServiceNow service management, operations management, custom applications.

Kostya Bazanov, Managing Director, Jan 29, 2024

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