IT teams today face a critical challenge: they’re drowning in repetitive work while the business demands innovation.
Password resets, ticket cleanups, onboarding, offboarding, credential management, and software provisioning consume valuable time that could be spent on strategic initiatives.
These tasks are urgent and important to end users, but they don’t align with business goals. The workload is reactionary and repetitive, contributing to massive backlogs that seem impossible to resolve without the right tools and data.
When team members spend most of their time on these mundane tasks, disengagement follows, especially when workload ratios are off or training and development opportunities are lacking.
The impact extends beyond IT.
Business users experience frustrating interruptions, longer resolution times, and delays in getting the tools and innovations they need. Meanwhile, every department has strategic and transformational projects in the queue, and IT is involved in every single one of them.
The Real Cost of Manual Work
Research shows that IT team members spend two to three months annually on tasks that could be automated. Organizations are turning to workflow improvements, AI, and automation to dramatically reduce this burden and allow people to focus on work that requires human judgment and creativity.
The principle is simple: if someone is just clicking and typing without making decisions, that’s a prime opportunity for automation. Automating these tasks makes customers happier through near real-time resolution and makes IT teams happier by eliminating soul-crushing repetitive work.
Breaking the Reactive Cycle
Many IT departments are trapped in a cycle between improving foundational service desk capabilities and standardization, especially when turnover occurs. Real lasting transformation comes from systematizing and automating operations.
This automation resolves recurring issues and handles requests faster, which then allows teams to focus on root cause analysis and continual improvement. The shift moves effort from workarounds to value creation.
The key to breaking this cycle is momentum.
Start with low-hanging fruit. Password resets, onboarding, and software deployment are uniformly frustrating for everyone involved. The customer doesn’t want to wait, and the IT person doesn’t want to do the work. Taking action in these areas builds momentum.
Onboarding is one of the most painful processes, but it’s also more complicated. Knock off some easier wins first. When people start saying “that was really great,” momentum builds naturally.
Almost every organization can find something meaningful to start with. Those who try to boil the ocean end up going back to smaller, high-value initiatives anyway.
The Integration Imperative
AI without the ability to integrate and automate delivers only a partial return on investment. AI is excellent for answering questions, but to get optimal results, you need to reach into other systems to grab information or take action.
Organizations doing this reasonably well with tools like TeamDynamix are seeing:
- 30 to 60% ticket deflection
- 40 to 90% faster technician response times
- 80% accuracy in AI-assisted responses
These results create a meaningful impact.
Customers are happier because IT people spend more time with them on problems that actually require troubleshooting, questioning, and collaboration.
Internal teams are happier, too, because they’re no longer spending time doing rote work. They’re doing more meaningful, fulfilling work.
Consider the math: what would happen if you eliminated 50% of incoming tickets and responded 40 to 90% faster to the remaining ones?
The average ticket response takes 4 to 8 minutes. If you freed that time up, most IT departments wouldn’t be looking to cut overhead. They’d finally get their heads above water, stop drowning, and actually provide meaningful service.
Understanding Your Maturity Level
Before transforming IT, you need to understand where you are. ITSM maturity typically falls into three categories:
Lower Maturity: Basic capabilities with some self-service options
Mature: Broader range of capabilities with standardized processes
Advanced: Automation and AI already in place with continual improvement
The good news is that more organizations are reaching advanced maturity than a year ago. The tooling is better, process support is stronger, and implementation is easier than it was even a couple of years ago.
From a product perspective, the challenge is supporting organizations at different maturity levels, sometimes within the same company. Different departments in IT often aren’t at similar maturity points. The solution is to meet organizations where they are while ensuring they won’t need to replatform as they mature. Many products are great for lower maturity organizations, but require complete replatforming two years down the road, which is extremely painful.
ITSM platforms like TeamDynamix are built to scale. You can get all the features and functionality you need at your current level, but also have room to grow your IT maturity within the platform as the business scales.
AI Assistance for Technicians
With TeamDynamix’s AI Service Assist, an AI agent looks at all your knowledge content, searches the web, and reviews old tickets for relevant content creates higher velocity responses, faster resolution, and dramatically improved customer satisfaction. Technician satisfaction also increases significantly.
This AI agent can also accelerate knowledge creation. When a request comes in with no good knowledge content, AI can draft knowledge base articles, increasing the speed of the knowledge flywheel. This feeds more content into self-service, enabling faster responses and more deflection.
One underappreciated benefit is how AI helps new technicians who lack institutional knowledge. They can essentially gain that institutional knowledge through AI assistance that reaches back to all previous tickets and knowledge base articles. New technicians add more value more quickly.
Chris Bransford, IT Customer Engagement Director at Vanderbilt University, has been using TeamDynamix’s AI ITSM. “AI Service Assist has been a strong addition to our ITSM, accelerating the onboarding of new technicians and enabling them to quickly provide meaningful support,” he said.
Shifting Left: Moving Resolution Closer to Users
Shift left means moving issue resolution as close to the end user as possible.
Traditionally, tickets start at level one and escalate to higher levels if needed. Empowering frontline staff and providing excellent self-help options reduces wait time and frees specialists for complex work and root cause analysis.
Self-help tools like AI-powered Virtual Support Agents (VSAs) can automate things like password resets and deflect a significant portion of tickets. Integrating conversational AI VSAs into your self-service portal lets users easily access help when needed, 24/7. Natural language processing and generative AI improve the user experience, making it easier for people to find answers and resolve issues independently.
Beyond End User Experience
Automation in infrastructure operations and application support provides broader organizational benefits. Many of these automations integrate with ITSM tools in various ways.
Device and Service Management
Managing end-user devices and services is a prime area for automation. The business impact is significant when new hires can’t access needed technology on day one. Integrations with HRIS, identity and access management, and Active Directory management solutions streamline onboarding, offboarding, and account management, reducing account setup time by up to 70%.
Zero-touch provisioning and automated application deployment save days in setup time. These capabilities can be integrated into a service catalog for self-service. Unified endpoint management enables centralized control of devices, policies, and security regardless of whether users are on-site or remote.
Infrastructure and Operations
Building resiliency into infrastructure and operations is essential. AI Ops automates incident identification and diagnostics. Workload automation handles maintenance tasks and data transfers for IT and the business. These tools can create tickets in your service desk, close them once resolved, and provide suggestions for fixes.
Infrastructure as code supports automated provisioning and load balancing, making environments more robust and responsive to business needs.
Asset and Configuration Management
IT teams regularly search for and validate data, often living in spreadsheets. Asset and configuration management databases are frequently manually populated, leading to duplicated work and accuracy problems. This makes it harder for asset, security, and operational teams to collaborate.
Automation for data collection dramatically improves data value with less effort. Discovery and dependency mapping, asset and configuration management, and patch reporting can all be automated. Integrations to other data sources reduce manual inputs needed for operational practices. AI-powered tools generate documentation and knowledge articles and route tickets to the right experts, reducing manual effort and improving outcomes.
Building Your Business Case
Creating a business case to improve capabilities requires considering multiple factors. Automation can require significant investment, and you may be competing for budget with other teams.
Ask these questions:
- Are customers impacted by poor processes and unstable systems?
- Is your team spending time on urgent repetitive work or important value-added work?
- How easily can you support existing organizational technology and services?
- Are you bringing in new technology and services that cannot be easily supported?
- What use cases will drive the most value?
Use a defensible, consistent method to demonstrate automation value. Start with ticket analysis to find common repeatable tasks. Consult with technicians, as many repeatable tasks or data analysis difficulties don’t generate tickets. Look at where teams currently experience pain and dig in to identify manual repetitive work that could be automated.
From a project standpoint, identify which projects or parts of projects would be hindered by a lack of automation. Do you have difficulties accessing reliable data? Slow data analysis? Repetitive or error-prone work? Prioritize the most impactful issues first, then investigate which tools meet those needs.
Prioritization Framework
Great sources for prioritization include your customers. Research suggests 40 to 70% of customers are frustrated with IT services. Dig into that frustration to identify opportunities and triangulate across all inputs.
Once you have a list of opportunities, apply this framework:
Can this be automated? Answer yes or no for each item.
Should it be automated? Just because you can do something doesn’t mean you should. The answer is yes when it:
- Improves or has neutral impact on customer satisfaction
- Reduces risk
- Has neutral or positive impact on team member experience
Break down the type of automation needed. Is it fully automated or using AI for portions? Consider cost, including both dollars and time.
Keep it simple initially: Could we do it? Should we do it? What would it take? A picture should emerge of where to focus. Determine if existing tooling can handle it or if you need an integration automation layer.
This exercise provides a roadmap to improve your business and continually show value. It also creates career paths for team members. That person who was a systems admin or tier one or two support, constantly teaching themselves technology to fix problems and asking about career growth, is the ideal candidate to help your business soar.
Revisit this exercise every couple of months or once a quarter. Technologies change, needs change, but it gives you a continual roadmap for improvement.
The Path Forward
The transformation to AI-powered, automated ITSM isn’t about replacing people. It’s about giving your teams superpowers, boosting their output, accelerating diagnosis, and reducing repetitive work. Instead of replacing people, you’re enabling them to focus on creating and delivering value.
Start where you are. Identify low-hanging fruit. Build momentum. The results can be dramatic when done well. Your customers will be happier, your team will be more engaged, and your IT organization will finally have time to focus on innovation instead of firefighting.
The technology is ready. The tools are more accessible than ever. The question is: what will you automate tomorrow?
To learn more about AI and Automation in ITSM, check out the webinar this blog is based on, featuring Sandi Conrad, Director of Enterprise Services at Info-Tech Research Group: