The state of IT

IT leaders all feel a familiar tension.

The business wants more: faster deployments, stronger security, instant resolution. Your team is skilled, but their talents gets squandered on work below their expertise and pay grade. Reactive operations, fragmented tools and disconnected AI investments create additional barriers. The question isn't whether to change. It's how to change without losing control.

These aren't signs of poor execution but rather, symptoms of an operating model that's built for a different era. Most IT organisations still run on reactive management. When someone submits a ticket, there's another person to answer it. When systems need to connect, there's someone who builds a custom integration. This approach may have worked when IT was smaller, the business moved slower and threats were less sophisticated. But the environment has shifted and the business expects instant resolution. Competitors are automating. And your team's time is too valuable to spend on work that could run itself.

The path forwards isn't working harder. It's working differently.

Better IT isn't about adding more tools or hiring more people. It's about fundamentally changing how IT operates, moving from reactive responses to intelligent, self-managing systems.

This is what organisations call autonomous IT. It's a state where your operations run themselves, supervised by the people who know them the best. This empowers your team for higher-level, strategic work and paves the way for faster innovation and scalability.

The characteristics of better IT:

• AI-ready operations. Your infrastructure and data are prepared to support AI investments, rather than fragmented across silos or trapped in legacy systems.
• Proactive, not reactive. Problems get identified and resolved before they impact users. Your team isn't chasing alerts, they're preventing issues.
• Knowledge at scale. Expertise isn't locked in people's heads. It's codified into workflows that anyone can use, and AI can learn from.
• Unified intelligence. Your AI investments work together across systems, not in disconnected pockets. You have visibility and control across your entire estate.
• Measurable business impact. IT delivers outcomes the business can see: faster resolution, reduced risk, lower costs, strategic capacity unlocked.

This is what organisations are building toward. But getting there requires addressing the barriers standing in the way.

Three obstacles prevent most IT organisations from reaching better IT:

1. Operational inefficiency with too much time on manual, repetitive work
2. System fragmentation with disconnected tools creating shadow AI and blocking knowledge sharing
3. Unproven ROI with AI and automation investments that deliver measurable results

The problem:

Your best people are stuck doing work that doesn't make the most of their expertise. Meanwhile, ticket backlogs grow. Alert fatigue sets in. And the strategic initiatives that could actually move the business forwards keep getting pushed to next quarter. 
 This isn't a talent problem. It's an unsustainable capacity problem.

Data tells the story:

• 58% of IT organisations spend 5+ hours per week on repetitive requests from business stakeholders (InformationWeek)
• More than 1 in 5 IT employees average 10+ hours per week on repetitive tasks (InformationWeek)
• 90%+ of workers report productivity increases from automation solutions (Harvard Business Review)

Every hour your team spends on work that could run itself is an hour not spent on innovation, transformation or resilience.

And it's unsustainable. Skilled people leave when their work doesn't match their capabilities. The business loses confidence when response times stay slow. And strategic projects keep getting pushed because there's never enough capacity.

The solution: Autonomous Service Operations

Autonomous Service Operations transforms how your IT function works. Shift from reactive, human-dependent triage to AI-powered workflows that detect, diagnose and resolve most incidents automatically.

Autonomous Service Operations brings IT into the Autonomous AI era. Employees submit requests. The system understands, validates, orchestrates and resolves—without requiring your team's attention. Your team steps in when human judgement truly matters. Everything else runs itself. Over time, automation learns, adapts and handles the full lifecycle of common requests from intake to resolution.

Key capabilities:

• AI-powered ticket deflection resolves common requests before they reach your team
• Self-healing workflows detect and fix problems automatically 
• Predictive intelligence identifies patterns and prevents issues before they escalate 
• Automated triage and routing ensure work gets to the right person when human judgement is needed

The results: Your team gets back to the work they were hired to do. Operations handles the rest.

Customer proof point:
EY put AI to work and got their people back

EY, a global professional services network, implemented ServiceNow AI Agents to automate routine IT and HR service tasks, from generating resolution notes to enabling employee self-service at scale. Service desk agents refocused on complex, high-value work. Employees stayed productive. And a responsible AI implementation proved that IT can put people first and drive efficiency without trade-offs.

The problem:

You've invested in the right tools for monitoring, ticketing, automation, security and analytics. But when those tools operate in silos, the investment doesn't pay off. Every cross-system workflow requires manual handoffs. Knowledge stays locked in people's heads instead of flowing to where it's needed. And teams start deploying their own AI tools because the official stack doesn't connect to how they actually work.

That's shadow AI. And once it spreads, governance becomes nearly impossible.

Data tells the story:

• Over 50% of US firms report the cost of fixing tech debt prevents new investments (2026 KPMG US Technology Survey)
• Only 28% of AI uses cases in IT infrastructure and operations fully succeed and meet ROI expectations (Gartner, Inc. survey of 792 I&O leaders)
• Just 37% of daily security alerts get detected and investigated even with adoption of AI in the SOC (Ponemon Institute survey of 649 US IT and IT security practitioners)

Fragmentation doesn't just create inefficiency. It creates risk to your AI investments, your compliance posture and your ability to scale.

The solution: Data Orchestration

Data Orchestration unifies your tools, workflows and AI agents into a single intelligent layer. No more point solutions running in parallel. No more manual handoffs between systems. No more shadow AI operating outside your visibility. With Action Fabric, any AI agent, whether built on ServiceNow, Microsoft Copilot or your own stack, can execute governed enterprise workflows with the same audit trails, approval chains and controls already embedded in your platform.

Key capabilities:

• Cross-system workflow orchestration eliminates manual handoffs 
• Unified AI governance prevents shadow AI and ensures visibility
• Enterprise-wide knowledge management codifies expertise into scalable workflows  
• Real-time, end-to-end visibility eliminates blind spots across your entire IT estate 

The results: AI investments that work together. Knowledge that scales. Infrastructure that grows with the business.

Customer proof point: Lenovo connected 180 countries and accelerated everything

Lenovo implemented ServiceNow Technology Provider Service Management with Workflow Data Fabric to connect fragmented systems and deliver seamless Device-as-a-Service solutions to enterprise customers globally. By unifying data flows, integrating third-party applications and creating personalised self-service portals, Lenovo transformed complex multi-system operations into streamlined workflows.

The problem:

Your AI investments deliver in pockets. The service desk is more efficient. Alert volume is down. But when leadership asks about ROI, you're pointing to metrics in one corner of the organisation—not across the enterprise. And the strategic initiatives that should be accelerating remain derailed.

The issue isn't execution. It's connection. Your IT investments aren't orchestrated end to end, so wins in one domain don't compound across others. Security improvements don't connect to compliance outcomes. Service gains don't translate to operational transformation. The promised ROI has yet to materialise.

Data tells the story:

• 40% of organisations now process 960 alerts per day and 40% of those go uninvestigated (The Hacker News)
• 60+ minutes is now the average mean time to detect for many organisations (Catchpoint's SRE Report 2024)
• 40% faster threat containment with automated detection systems (Ponemon Institute)

The ROI question becomes are we transforming IT or just automating chaos? Leadership doesn't want better metrics in isolated domains. They want to see enterprise-wide outcomes that positively impact the business: reduced risk, improved uptime, unlocked strategic capacity and measurable security posture improvements.

The solution: Autonomous IT and Security

Autonomous IT and Security delivers the complete vision: service, operations, assets, security and strategy working as a unified system, with AI Control Tower giving you insight into live, measurable ROI leadership cares about. This is how AI stops being a line item and becomes the engine of your business.

Key capabilities:

• Self-managing service operations: AI handles routine support work automatically. Your team focuses on strategic initiatives, not ticket queues
• Proactive, not reactive operations: Self-healing workflows and predictive monitoring prevent outages before they impact users
• Full IT estate visibility and control: Automated asset management ensures continuous compliance, eliminates shadow IT and optimises costs
• Security that prevents, not just responds: AI agents detect and contain threats faster. Breaches get stopped before they spread instead of triaging after the damage is done
• Strategic alignment by design: AI-powered planning keeps technology investments tied to business objectives and on schedule

The results:

IT delivers quantifiable business outcomes leadership can see, defend and build on.

Customer success: How AstraZeneca builds the future of medicine

AstraZeneca bold mission is to address the rare diseases affecting millions by launching 20 new medicines by 2030. With ServiceNow, they automated time-consuming manual processes, from laboratory supply ordering to employee onboarding. The impact was immediate and massive, transforming tasks that once took 30 minutes into seconds-long workflows. Researchers and scientists got their time back. The mission to save lives accelerated.​

The path to better IT starts with your biggest constraint. You don't need to transform everything at once. Most organisations start with a barrier creating the most immediate business impact whether that's operational inefficiency, system fragmentation or unproven ROI.

Key deliverables:

• Cross-system workflow orchestration eliminates manual handoffs
  
• Unified AI governance prevents shadow AI and ensures visibility 
• Enterprise-wide knowledge management codifies expertise into scalable workflows 
• End-to-end visibility across your entire IT estate in real time 

The result:

AI that works together with knowledge that scales and infrastructure that supports business growth.

The typical progression:

1. Identify your biggest constraint and the solution ready to resolve it  
2. Move fast, measure early and prove value to the business 
3. Expand across domains as your confidence and maturity grow 
4. Reach the full vision: IT that governs itself, scales itself and delivers outcomes leadership can see