How to train your IT team to work with Agentic AI technologies

The new era of Autonomous IT is here, and Agentic AI technologies are at the forefront of this revolutionary transformation. Agentic AI tools are capable of operating autonomously, meaning that they can learn, adapt, make decisions, and take actions independently. Using real-time data and context, these autonomous AI agents are turning the way we do IT on its head. 

It might seem daunting to train your IT team on Agentic AI usage, but we’re here to help. We’ve been on the cutting edge of integrating Agentic AI specifically in IT, and we’ve truly seen it all. We’ve put together a focused roadmap to help you train your IT team on effective Agentic AI usage… and you’ll see the benefits to efficiency, productivity, and cost-savings more quickly than ever. So let’s jump into our roadmap to train your IT team to work with Agentic AI. 

Assessing your IT team’s readiness

Before you begin training your team on using Agentic AI tools, like Atera’s Copilot for IT departments, it’s important to see where everyone is at. You can do this by conducting a skill gap analysis, specifically about Agentic AI. A skill gap analysis can be as simple or as complicated as you deem necessary – it can involve testing (both question-based and example-based), interviews, example projects, and anything else that may give you a better idea of an employee’s skills.

Steps to Conduct an Agentic AI Skill Gap Analysis

• Define Key AI Skills
• Create Tests
• Run Team Interviews
• Assign Mini AI Projects
• Compile & Evaluate Results
  

This will help you evaluate your team’s current AI and automation expertise, gaining a better understanding of their current Agentic AI knowledge and abilities, and areas where there may be knowledge gaps. Targeting the areas where your team needs the most support will help you build a training that is meaningful and engaging, leading to real results.  

Additionally, we recommend mapping roles to identify which positions will interact with Agentic AI most heavily. The individuals in these roles could benefit from additional targeted training or ongoing professional development opportunities to ensure that they remain up-to-date with their knowledge in this ever-changing technological world. 

Helping your IT team understand Agentic AI

Now that you know the areas where your team needs more support and where they are already highly capable, you can help the team understand the basics of Agentic AI tools. First, it’s important to ensure that all team members (and ideally, stakeholders, too) understand the autonomous decision-making process, or how Agentic AI “thinks” in real time. 

Agentic AI works toward predefined goals and is constantly making observations about the environment to understand context and take action. Agentic AI programs also learn and improve over time. 

It’s also important to educate your team about ethical AI usage. Part of ensuring ethical AI utilization in the workplace is establishing supervision and escalation protocols that include human oversight. You’ll want to work out the answers to questions like, Who is responsible when AI makes a mistake? Who is overseeing each part of the AI process? Who is accountable for the actions that Agentic AI tools take? 

Another component of ethical AI usage is ensuring data quality and security as the foundation for reliable AI outputs. Agentic AI makes decisions based on the information gleaned from data sets that it reviews – so if these data sets are inaccurate or biased, then the outputs from the AI tools can be, too. Additionally, it’s important to emphasize the importance of privacy and security to maintain compliance with industry standards. 

Crafting a role‑based training curriculum

Once you have covered the basics of Agentic AI, you can move on to a role-based training curriculum that is more targeted to the responsibilities of each individual on your team. Foundational workshops covering AI literacy, ethics, and high-level use cases can be beneficial for everyone – but once you get into more technical deep dives, it’s best to utilize a small-group environment and choose training attendees based on their role. 

For instance, engineers or system administrators could benefit from a workshop on scripting and APIs, but this may not be relevant to everyone in the department. 

Additionally, we recommend creating operational playbooks for monitoring, troubleshooting, and updating Agentic AI agents. This will help ensure that everyone in the department is on the same page and has consistent source material to refer back to. 

Hands‑On Learning Environments

The best learning often takes place in hands-on environments where participants can put their skills and knowledge to use in simulated scenarios that mimic the realities of day-to-day usage. To ensure that this learning happens without negative impacts on your actual IT environment, we’ve posed some suggestions to try out Agentic AI tools without the risk. 

Sandboxed labs

Sandboxed labs refer to safe zones where teams can experiment with Agentic AI workflows without risk. These environments mimic real-world situations but allow team members to explore minus the consequences that a mistake could have on your actual tech stack. 

Simulated scenarios

You might opt to organize real‑world drills on incident response, ticketing, and self‑healing. This will help teams know what to do in time-sensitive situations that could arise in the future, and it will also help sharpen skills and provide an opportunity for feedback without high stakes. 

Peer pairing

As you continue with your Agentic AI training program, consider pairing up junior and senior team members in a mentorship model. This can help reinforce best practices with AI usage and has the additional benefit of building a welcoming and positive team culture. 

Integrating Agentic AI into daily operations

As your team training moves forward, you’ll want to integrate Agentic AI into the daily operations of your company. First, launch pilot projects to validate training outcomes in a controlled setting. It’s also a good idea to try out different products to see which Agentic AI tools work best for you. That’s why at Atera, we offer a 30-day free trial so that you can see the power of Agentic AI without making a commitment to any expensive contracts. 

As you integrate Agentic AI into your daily workflows, it’s important to update standard operating procedures and runbooks to embed AI agent steps. Documentation is key, and adding information to your team’s knowledge base ensures alignment across your team.. 

You can also take a proactive stance by implementing feedback loops to refine training materials based on real usage. Seek feedback from your team and analyze data gleaned from your AI tools to hone your training methods and structures for the best results. 

Measuring training impact

How do you know if your Agentic AI training has been successful? You can take a look at key performance metrics such as time-to-resolution improvements, ticket deflection rates, and agent accuracy. If your technicians are effectively leveraging a tool like Atera’s AI Copilot, you might see incredible jumps in performance, like 10X faster ticket resolution times!

Image via Atera

You can also conduct regular assessments within your IT team – think quizzes, certification exams, or performance reviews that are focused on AI literacy and implementation. This will give you measurable, quantitative results to review and might even illuminate areas where additional training is needed. Taking a look at company success stories and/or case studies can also help you determine your success. For example, Atera client Leeds United Football Club was able to implement Agentic AI tools to reduce their overwhelming ticket volume by a whopping 35%! That’s an incredible, measurable indication of success.

Sustaining and scaling AI skills

It’s important to continue developing AI skills in IT even after your initial AI implementation push. Consider developing continuous learning paths like advanced certifications, workshops, or community forums that allow your team members to commit to ongoing skill boosting. You can also schedule governance and ethics refreshers to reinforce responsible AI usage, and you could consider offering an incentive to employees who engage in such learning opportunities. 

Scaling up your AI skills doesn’t have to be limited to the microcosm of your company, either. For example, you could host quarterly innovation days, conferences, panels, or hackathons and invite larger groups to explore new Agentic AI capabilities. Alternatively, you could sponsor a few of your employees to attend educational conferences or events related to the topic. Investing in the education and advancement of your team will always pay off. 

Prepare your team for the Agentic AI revolution

Targeted Agentic AI training is a crucial component of boosting efficiency and mitigating risk in modern IT environments. It’s clear that Agentic AI is the future – and ensuring that your team members understand and are proficient in these tools is the first step toward long-term success. Want to learn more about how to train for Agentic AI implementation in IT? Check out our Agentic AI blog posts to build a strong foundation, or start your free trial to take our Agentic AI-driven tools for a test drive today.