Some IT teams seem like they’re constantly stuck in never-ending loops of repetitive tasks. Day in and day out, they tackle the same problems, sometimes pushing more strategic work to the backburner to focus on the IT fire of the moment. It’s hard for a CIO to watch, especially when there’s a path to better way, one where team members can automate the drudgery and break the cycle.
With AI and low-code development tools, IT teams can tackle the problems they know best on their own, without additional assistance from outsider developers. Putting AI-powered low-code development tools in the hands of pro developers is like handing over the keys to a solution machine. With vast, built-in app-building knowledge and conversational language prompts that guide beginners and turbo-boost pros, AI can speed the time to build solutions for the unique needs of your IT department.
By using AI and low-code development, IT teams can build smart, fast solutions to their own problems—problems exacerbated by growing demands on data. CIOs who can bring AI-powered low-code and no-code solutions to their employees are putting their organizations in prime position to drive innovation.
Use cases for an AI-powered, low-code development platform abound, especially in an organization’s IT department, but we’ll focus on the five things we’d imagine IT teams would want to start doing if they were empowered with those tools today.
1. Offloading boring, repetitive, and mundane tasks to custom AI assistants
Imagine getting your team to use a low-code development platform to build a self-service assistant capable of handling the most common IT support requests in real time.
Instead of writing code, beginner and pro developers on the team can use simple, everyday English to guide the development process, speeding things along. And if your platform can connect with knowledge base systems like Microsoft Power Platform and Microsoft Copilot Studio do, then they can build a tool that automates the retrieval of documentation, FAQs, and previous support tickets so employees who need help can get accurate support without the need for human intervention.
Even if your organization still relies on legacy IT systems, AI and low-code can build bridges to older tools with UI, API, DPA, and RPA automation capabilities that can help automate tasks like data entry, report generation, and system monitoring that would otherwise dominate time and tie up people.
To find out how Copilot Studio can help your organization’s IT department, try a demo today.
2. Providing a secure, streamlined process for resetting employee passwords
To dig deeper into AI and low-code development to build tools that automate mundane tasks, consider the process for resetting employee passwords—something that comes with considerable security implications.
With AI-powered low-code development tools, an IT team can create a secure, streamlined process for resetting employee passwords that gets employees back online while enhancing overall identity management.
For instance, a system could be built that verifies user identity through multi-factor authentication (MFA) and biometric checks. Once the requester has been reviewed and approved as authorized, reset instructions could be passed along automatically, minimizing downtime for the employee requesting the reset while allowing IT support staff to focus on other tasks.
The system could also analyze user patterns to detect and flag suspicious activity, like too many reset attempts or reset requests originating from an unusual location, adding an extra layer of protection. With low-code platforms, these complex identity verification processes can be implemented quickly and efficiently, reducing the burden on IT staff while maintaining high security standards.
3. Empowering employees to troubleshoot technical issues through self-service
Some technical issues require human intervention, but many don’t. To free your human experts for your organization’s most challenging problems, help them design the self-service solution that could handle the most common requests that dominate their time.
For example, consider a complaint about a slow computer.
A generative AI-enabled self-service tool developed with AI on a low-code platform hears the user’s “slow computer” complaint, and then runs a series of diagnostic tests to determine the issue. Once the issue has been identified, the tool can generate instructions on what to do next.
This allows your IT experts to focus on more complex and critical problems, improving overall productivity and support quality within the organization.
To see how your IT department can use AI-powered low-code development to build a self-service help desk assistant with Copilot Studio, try a demo today
4. Making sure the right human beings get assigned the right tasks
About those complex and critical problems requiring human intervention—AI can actually help with making sure incoming helpdesk requests get to the right human agents.
Take the self-service tool we described above. Through the process of scanning incoming helpdesk requests, it can identify details that could help with prioritization and delegation. Once an issue’s urgency, complexity, and possible impact on the organization has been considered, the tool can direct tasks requiring human assistance to the teams or individuals best suited to help.
That way, team members can focus on what they do best, swiftly resolving critical issues and timely handling of less urgent tasks. This not only optimizes resource allocation, but also enhances overall service quality and response times within the IT department.
5. Logging service tickets and providing automatic status updates
Finally, instead of having to field status questions from waiting users, the IT team can build itself a tool for handling the task automatically.
On low-code platforms like Microsoft Power Platform and Copilot Studio, for example, the process would be easy. Without extensive coding knowledge, an IT team member could build an AI assistant that connects to whatever IT service management (ITSM) platform the company uses, and runs through the steps of creating, assigning, and updating tickets automatically, providing update notifications to employees via email, Teams, or other communication platforms.
If the team integrates its assistant with a network monitoring tool, it could even detect some likely issues before they have a chance to impact users. For example, if a connected monitoring tool detects an issue, the helpdesk assistant can create a ticket in the ITSM system that includes details from the monitoring tool alert, assigns an accurate priority level, and enables swift resolution of the issue.
Integrating AI and low-code can transform your IT strategy
We’ve walked through just a few examples of how IT departments can begin with AI-powered low-code development right away, but many more use cases, workflows, and connections are possible.
Integrating AI and low-code development tools revolutionizes IT departments by streamlining processes, enhancing productivity, and enabling rapid innovation. From automating repetitive tasks to improving ticket resolution times and empowering self-service troubleshooting, AI-powered low-code solutions unlock immense potential for IT teams.
By adopting these tools, organizations can optimize resource allocation, facilitate timely responses, and drive continuous improvement.
Start using AI-powered low-code development today to transform your IT strategy and stay ahead in the digital landscape. To find out how Copilot Studio can help your organization’s IT department, try a demo today.
