IT leaders and their teams face escalating pressure to deliver transformation and value to the organization. Yet they spend more than half their time and budget just keeping the lights on (KTLO), which leaves limited capacity to modernize, build critical skills, and innovate. Our research framework maps out a four-step path to relieve IT’s KTLO burden, free up resources for innovation, and address the IT skills gap – all by harnessing the power of AI.
In today’s economic uncertainty, IT may be targeted for cost cutting. But now is the time to make a strategic investment in AI, to finally tackle the KTLO conundrum. By automating low-value tasks, IT gains back precious time and budget for innovation. In the process, IT hones its AI knowledge and capability, narrowing its own skills gap. Learn how to strategically leverage AI so IT can redirect its efforts toward innovation, value, and skills development.
1. KTLO by the numbers: where IT’s time and money really go.
Routine IT operations and maintenance tasks occupy 66% of IT teams’ time and effort while consuming 82.6% of IT budget spend, according to Info-Tech’s 2025 IT Spend and Staffing benchmarking data. With so much tied up in KTLO, it’s no wonder IT struggles with the bandwidth to lead more impactful initiatives.
2. Don’t just fix IT problems faster – prevent them entirely.
Incident management is traditionally aimed at restoring services quickly. But AIOps can help teams move from this reactive approach to autonomous prevention and even incident prediction. Don’t waste time and team resources fixing issues you can pre-emptively avoid with AI.
3. Automated governance is actually a good thing.
Autonomous patch and vulnerability management automates governance by turning a chaotic, manual security vulnerability into a predictable, continuous pipeline of nearly 100% compliance. The IT resources tied up in manual governance chores can then be diverted to more complex, high-value projects.
Use our step-by-step roadmap to reclaim KTLO resources for higher-impact work.
This comprehensive research framework and its supporting presentation template empower IT teams to lower their KTLO workload, enhance their AI skills, and become strategic partners in innovation.
Use our methodology to:
- Evaluate the opportunities for AI-powered IT.
- Forecast the value of proven KTLO reduction tactics.
- Mitigate the well-known risks.
Create a Service Management and IT Operations Strategy
Optimize the IT Operations Center
Improve Incident and Problem Management
Optimize IT Change Management
Harness Configuration Management Superpowers
Develop Infrastructure & Operations Policies and Procedures
Stabilize Release and Deployment Management
Deploy AIOps to Improve IT Operations
Create Visual SOP Documents that Drive Process Optimization, Not Just Peace of Mind
Improve IT-Business Alignment Through an Internal SLA
Implement Infrastructure Shared Services
Next-Generation InfraOps
M&A Runbook for Infrastructure and Operations
Reduce Manual Repetitive Work With IT Automation
Take Control of Cloud Costs on AWS
Take Control of Cloud Costs on Microsoft Azure
Govern Shared Services
Take Control of Infrastructure and Operations Metrics
Engineer Your Event Management Process
Design Your Cloud Operations
Build a Continual Improvement Program
Align Projects With the IT Change Lifecycle
Drive Business Value With Microsoft 365 Copilot
Build Seamless IT Operations With Automation
Transition and Operationalize Incoming Projects
Cut Costs by Leveraging AI Solutions
Harness AI to Reduce the Cost and Effort of KTLO in IT Operations