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Forbes: ServiceNow's Lesson on Differentiating Yourself with GenAI.

ServiceNow GenAI

The article published by Forbes, “ServiceNow Gives A Lesson On How To Lean Into Disruption”, highlights how ServiceNow has established itself as one of the most resilient and innovative companies in the face of rapid technological changes that impact the global market, with GenAI. Instead of “suffering” with the changes that can impact its products and even the market, the company decided to face them head on, using innovation as a competitive differentiator.

“Rather than treating disruption as a threat, ServiceNow views it as a strategic opportunity to accelerate transformation, capture value and deliver measurable results”

ServiceNow has taken a bold approach to incorporating generative artificial intelligence (GenAI) into its platform, furthering its positioning as a true “platform of platforms.” This vision is supported by strategic investments in AI, such as the acquisition of MoveWorks , workflow automation and user experience – with a clear focus on business results and increased productivity for its customers.

It is important to emphasize the consistency with which ServiceNow has evolved its portfolio without losing its core focus: to be the central operational engine of modern companies. The strategy of growing through its own innovation, combined with specific acquisitions, strengthens its value proposition and ensures a sustainable competitive advantage.

This mindset positions the company not just as a software or platform provider, but as a strategic partner for companies that want to evolve with agility in an increasingly digital, data-driven, workflow-driven world.

4MATT Consultants added an analysis to the Forbes Article: How to Build a CMDB to Support GenAI?

Building a GenAI-Ready CMDB

For GenAI to deliver its full potential, it is essential that the CMDB is accurate, up-to-date, and well-maintained. ServiceNow outlines four essential pillars for a generative AI-ready CMDB:

  • Data Governance: Clear governance policies to ensure data integrity, standardization and reliability.

  • Automated Discovery: Automated discovery tools that continuously feed the CMDB with correct and up-to-date data.

  • Relationship Mapping: Accurate mapping of dependencies between assets, services and processes, basis for AI-driven decisions.

  • Continuous Improvement: Continuous improvement processes and periodic review of the CMDB structure and data model.

The convergence of GenAI with CMDB and ITAM represents a quantum leap for modern IT. ServiceNow is uniquely positioned to lead this evolution.

See the translated text here:

ServiceNow gives a lesson on embracing disruption

In recent months, many influential voices in the technology industry — including Satya Nadella — have suggested that traditional SaaS platforms face a threat of obsolescence, driven by the growing maturity of generative artificial intelligence (GenAI) and autonomous agent-based applications. The idea that users could automate their daily routines based on data and AI seems, on its face, plausible — and it forces providers like ServiceNow to address a potentially existential threat.

Whether this threat is viable today or will be in the near term is of little importance. What really matters—from a strategic perspective—is how these companies respond. ServiceNow embraced disruption with the launch of the “Yokohama” version and the acquisition of Moveworks. It is a textbook case of how to respond to profound technological change with vision and courage.

How to respond to technological disruption

Historically, companies facing disruptive threats have followed a few common paths:

  • Denial – Minimizing or ridiculing the impact of new technology. This happened in the early years of open source software.
  • Arrogance – Underestimating the emerging solution. Classic cases involve the x86 architecture outperforming Unix on servers.
  • Shallow adoption – Trying to simply “fit” disruptive technology into the current solution. This often fails or feels like an admission of weakness.
  • Embrace change – A proactive, customer-centric approach that accepts taking risks to better serve the market. Microsoft’s move to the cloud is a notable example.

ServiceNow has clearly taken the latter approach: strategically embracing disruption, even if it means rethinking parts of its business model.

ServiceNow's Strategy: Embracing Change

Embracing disruption doesn’t happen overnight. The first step is to create an internal culture of embracing change, recognizing that it will be a risky journey. ServiceNow has already positioned itself as one of the first major SaaS companies to natively integrate AI, and now it’s taking it even further with:

  • The launch of the Yokohama version of the platform, with features focused on generative AI and automation;
  • The acquisition of Moveworks, a startup specializing in digital employee experience with AI.

These actions show that GenAI and intelligent agents will be crucial to the future of enterprise operations, and ServiceNow wants to lead this evolution.

Autonomous Agents: The New Core of SaaS Transformation

Most SaaS platforms have focused on agents increasing individual productivity. ServiceNow, however, is proposing something more strategic:

  • Professional Agent Development: The new AI Agent Studio suite, built into Yokohama, expands low-code/no-code capabilities, enables collaboration between agents, and integrates with the workflow engine.
  • Advanced enterprise data analytics: The acquisition of Moveworks brings capabilities such as Employee Experience Insights to the platform, which uses AI to detect bottlenecks, map trends and identify critical areas for improvement.
  • Agent Governance: As agent usage has expanded, ServiceNow has also strengthened security controls, agent catalogs, and permission and approval models—critical to mitigating risk at enterprise scale.

 

Strategic attention points

Despite the consistent progress, the article points out areas where ServiceNow can evolve further:

  1. Avoid dispersion: The company operates simultaneously on several fronts (AI, automation, expansion outside ITSM). It is essential to prioritize without diluting efforts.
  2. More futuristic vision: Go beyond agents that only perform human tasks. Invest in autonomous agents, such as self-configuring infrastructure solutions or automated maintenance.
  3. Platform-agnostic models: Consider modular products, such as an agent-as-a-service based on Moveworks, that do not require the full ServiceNow platform — allowing you to attract new customers outside of your installed base.

Now Assist: Intelligent Text and Code Generation with ServiceNow GenAI

ServiceNow GenAI, powered by the innovative Now Assist, is redefining how businesses operate by taking workflow automation to the next level and transforming the employee experience. One of the most impactful capabilities of Now Assist is its ability to intelligently generate text and code in context, delivering tangible benefits to users across multiple areas of the organization.

Using generative AI, Now Assist enables professionals to quickly and efficiently create high-quality textual content. Think case summaries, detailed articles, and personalized customer communications, all within the ServiceNow workflow. This functionality not only saves valuable time, but also ensures consistency and accuracy of information, streamlining internal and external communications.

In addition to generating text, Now Assist also excels at creating code. Developers can leverage this capability to accelerate application development and workflows within the ServiceNow platform. Generative AI can assist in creating scripts, suggesting optimized code snippets, and even automating repetitive coding tasks. This allows development teams to focus on more complex challenges and innovation, driving agility and efficiency in delivering solutions.

The benefits of Now Assist's intelligent text and code generation are vast:

  • Increased productivity: Automating the creation of textual content and code frees up professionals to focus on more strategic and higher-value tasks.
  • Improved efficiency: The speed of generating information and code accelerates processes and reduces response times.
  • Employee Experience Optimization: By automating routine tasks and providing intelligent tools, Now Assist contributes to a more productive and satisfying work environment.
  • Error reduction: THE Generative AI minimizes human errors in the creation of text and code, ensuring greater accuracy and reliability.
  • Scalability: The ability to generate content and code on demand makes it easier to scale operations and adapt to different business needs.

In short, Now Assist’s text and code generation capabilities, powered by ServiceNow GenAI, represent a significant advancement in workflow automation and improving the employee experience. By intelligently integrating generative AI into the ServiceNow platform, companies can achieve unprecedented levels of efficiency, productivity, and innovation.

Conclusion

Unlike many companies that try to downplay the impact of generative AI or just talk about doing something with GenAI, ServiceNow is integrating it deep into the core of its platform, natively. The Yokohama and the acquisition of Moveworks are concrete proof of a strategy that combines courage, customer focus and commitment to the future.

If ServiceNow can maintain its momentum of innovation and execution, it will not only survive the next wave of computing—it will help define it.

4MATT is a ServiceNow Premier Partner and is ready to support your organization throughout the implementation journey. Talk to our experts and discover how to transform your processes with more efficiency and control.

 

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