If you lead an HR or L&D team, you probably don’t need convincing that AI could make your work easier. The harder part is getting from “this could help” to actually using it.
That usually means having two conversations: one with IT and one with leadership. While the topic may be the same, the conversations shouldn’t be.
Two Conversations, Two Different Priorities
IT wants to know how the technology works, what data it can access, and whether it introduces any security risks. Leadership wants to know what it will improve, how quickly they’ll see value, and whether it deserves attention now.
If you give leadership a technical security pitch (or give IT a big-picture vision without the details) you’re likely to lose momentum before you get started.
How to Talk to IT About AI: Make the Ask Specific
IT teams aren't the blocker people assume they are. They’re trying to understand exactly what they’re being asked to approve. The clearer you can make that request, the easier it is for them to evaluate.
Start with a specific use case. Don’t ask to “use more AI.” Ask to connect the AI tool your company already uses to your learning platform so your team can answer questions, create reports, or complete specific administrative tasks.
Explain what isn’t changing. If you’re using an AI tool that has already been approved, say so. Be clear about whether the connection adds another tool, exposes additional data, or creates a custom integration that IT will need to maintain.
Name the standard. If the connection uses MCP, or Model Context Protocol, explain that it’s an open standard supported by major AI tools. IT still needs to review the setup, but they aren’t being asked to assess a completely unfamiliar, one-off integration.
Come prepared for the obvious questions. What information can the AI access? Can it make changes or only retrieve data? Will it follow the permissions already set in your learning platform? What is your process for training people on proper use? Answering these questions upfront can save a lot of back and forth.
Ask for a review of an AI use case, not a complete policy change. A focused conversation about one clearly defined use case is much easier to move forward than an open-ended discussion about how the company should use AI.
How to Talk to Leadership: Focus on What Gets Better
Leadership doesn’t need a technical explanation of how the connection works. They need to understand what changes because of it, and by when.
Talk about the outcome, not the technology. “We can create compliance reports in minutes” is more compelling than “we want to explore AI.” Focus on the work that becomes faster, easier, or more useful.
Start with something they already ask for. If leaders regularly want updates on training completion, compliance, or workforce skills, show them how AI could help your team provide those answers faster.
Bring one real AI example. You don’t need a long roadmap. Choose one question your team is already being asked—such as “Which teams are falling behind on required training?”—and show how quickly you could answer it.
Give them a reason to act now. Timing matters. If you’re heading into annual planning, budgeting, or compliance season, connect your request to that moment. “Let’s get this in place before our next reporting cycle” gives people something much more concrete to act on than “we should think about this eventually.”
A Simple Two-Track Script
To IT:
“We want to connect [AI tool] to [platform] using MCP so our team can ask questions about our own data instead of building manual reports.There's no new integration to maintain. Can we get 30 minutes to walk through it?”
To leadership:
“Our team spends [X] hours every month pulling and formatting reports by hand. Connecting our existing AI tool to our learning management system means we could get instant answers instead, and use the same data to show the impact of our programs. I will need IT time (low level of effort) to set this up, and would like to request on the roadmap”
A Short AI-Readiness Checklist
- Identify who owns the business case, technical review, security approval, and final decision.
- Discuss how your L&D team will use AI (e.g. generate reports, create course promotional materials for your employees)
- Understand whether the AI will only retrieve information or also take action in connected systems.
- Identify a small group of people to participate in the pilot.
- Decide how you’ll measure value, such as time saved, faster reporting, or fewer manual steps.
- Document who will review access, usage, and permissions as the connection expands.
If Your Systems Aren't Ready Yet
If your learning management system doesn't support this kind of connection, that's worth asking your vendor about directly. Bridge customers will soon be able to connect directly to Claude, Copilot, and ChatGPT to their learning data through the Bridge MCP Connector.
