Five Research Administration Tasks AI Can Help With Today

Research administration teams are being asked to do more than ever. Increasing compliance requirements, tighter timelines, growing proposal complexity, rising researcher expectations are all hitting your desk, often at once, without additional staff or resources to match.

So when leadership also asks you to start incorporating AI into your workflows, it can feel like one more thing on an already full plate. It’s reasonable to ask: what can AI actually help with today, in a practical way?

The short answer: AI works best on the unstructured, language-heavy work that lives around your systems, like writing, summarizing, and communicating tasks that don’t live neatly inside a platform. 

Here are five ways Research Administration teams can start using AI practically today.

1. Summarizing Funding Announcements

Sponsor guidelines and funding opportunity announcements can run dozens of pages. AI tools can help you move faster through the initial read by generating concise summaries, pulling out eligibility requirements, flagging key deadlines, and surfacing budget or compliance considerations worth a closer look.

This gives your team a faster starting point for review and validation. AI-generated summaries should always be validated against the original documentation before anything moves forward in your system of record. 

2. Drafting Routine Researcher Communications

Even with a well-structured platform managing your deadlines and workflows, research offices still send a high volume of written communication — proposal reminders, missing documentation requests, compliance follow-ups, onboarding instructions, meeting recaps — every day.

AI can draft first versions of these messages in seconds, giving you a consistent starting point you can personalize and send. This is especially useful during crunch periods when your team is managing multiple submissions simultaneously and every hour counts.

3. Translating System Data Into Researcher-Friendly Context

Research administration platforms, such as Cayuse, can do a lot of the heavy lifting on process improvements and setting up streamlined workflows for routing, tracking, deadlines, and compliance checkpoints. However, researchers don’t always know how to interpret what they’re seeing or what’s expected of them next.

AI can help bridge that gap: drafting plain-language explanations of process steps, generating preparation guidance based on sponsor requirements, or creating onboarding context for new PIs who are navigating your office’s workflows for the first time. 

4. Organizing Notes and Meeting Summaries

Research administration involves constant coordination around activities like kickoff calls, budget conversations, sponsor check-ins, post-award reviews. AI tools can summarize meeting discussions, pull out action items, and draft follow-up notes quickly, so you spend less time formatting documentation and more time on the work that actually requires your judgment.

If you are looking for more information on how to manage and reduce administrative burden, check out our blog post for tips and strategies. 

5. Answering Common Process Questions

Where do I find this form? When is internal routing due? Which office reviews this? Research offices field versions of these questions constantly, especially in multiple locations or environments and definitely when onboarding new faculty.

AI-powered assistants or internal knowledge tools can help provide faster responses to common procedural questions, reducing back-and-forth and improving the researcher experience without pulling your team away from higher-stakes work.

Start Small, Stay Practical

For research administration teams starting out using AI, adoption doesn’t need to be a big initiative right out of the gate. Start with lower-risk, language-heavy tasks: the work that takes time but doesn’t require a human expert to do from scratch. Getting a starting point on a draft can get you started easily on a heavy to-do list, giving your mental load a bit of a break. 

And remember: always check your institution’s AI usage policy before incorporating AI into your workflows, and always check the AI’s output for accuracy. With the right safeguards in place, AI can help save time and let you focus on the work that matters most.