While much of Silicon Valley races to launch new AI agents, chatbots and generative AI services, ServiceNow CEO Bill McDermott warns that many tech companies are overlooking the real challenge for enterprises: how to make AI operate safely, governed, and integrated into mission‑critical business processes.
In an interview with Fast Company, McDermott explains that today’s AI market is largely driven by hype, while many organizations still lack control over data, identities and automated workflows.
AI hype risks creating new security problems
McDermott argues that many AI initiatives today emphasize flashy demos and stand‑alone features rather than solving concrete business problems. Companies are tempted by promises of productivity and automation, but they often underestimate the complexity of enterprise AI.
When AI agents gain access to internal systems, business data and customer information, requirements for security, governance and compliance increase dramatically. Without clear controls, organizations risk introducing new security gaps while making operations harder to manage.
McDermott believes AI can no longer be treated as a separate innovation project at the edge of the business. Instead, AI must be embedded in core processes and governed at the same level as other business‑critical systems.
ServiceNow aims to be the control platform for agentic AI
ServiceNow is increasingly positioning itself as a platform for governed, integrated agentic AI in enterprise environments.
The company is investing heavily in combining automation, workflow technology and generative AI into a unified platform where AI agents can operate directly in business‑critical processes across IT, HR, cybersecurity and customer service.
The vision extends beyond assisting users with answers or recommendations. The aim is to create autonomous, AI‑driven workflows that can detect issues, make decisions and automate processes without manual intervention.
This is where many companies realize that AI requires much more than language models and chatbots. For enterprise use, AI must connect to internal systems, business rules, security models and real‑time data.
Competition in enterprise AI is intensifying
The race for the enterprise AI market has become fiercely competitive. Tech giants such as Microsoft, Google Cloud, Salesforce and SAP are investing billions in autonomous AI platforms and agentic AI solutions for businesses.
The market is shifting from simple AI assistants toward more advanced systems capable of automating entire workflows and business processes.
At the same time, concerns around AI security, hallucinations, data leaks and lack of transparency are growing. Many organizations are seeking a balance between innovation and control as AI is adopted at scale.
From experiments to business‑critical infrastructure
Over the past two years many companies have tested generative AI through small pilots and internal experiments. The market is now moving toward production‑ready implementations where AI becomes a central part of operational infrastructure.
For Nordic companies, this shift places greater emphasis on governance, data security and compliance. AI is no longer solely about innovation or efficiency; it also concerns risk management, regulatory requirements and long‑term business strategy.
McDermott’s message reflects a broader change across the enterprise AI landscape. The next phase is not about who builds the most advanced chatbot, but which platforms can deliver secure, scalable and business‑critical AI in real operations.
Source: Fast Company