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January 28, 2026

The Rise of AI in Research Development

How One Research Administrator Is Using AI to Reclaim 10 Hours a Week (2026)

Summary

While many institutions are still debating the safety of AI, Aimee Oke (Colorado State University) is already using it to automate grant components and redesign research development. To see where you stand in this shifting landscape, you can discover your AI readiness level by taking this self-assessment we cocreated with Aimee. Below, we break down the "3-Bucket" framework she uses to lead this integration.

From the Bench to the Dean's Office

The journey began with a career at the lab bench. After 21 years at Colorado State University, Aimee Oke transitioned from active scientist to research administrator. This move revealed a growing crisis in academia. The pressure on faculty had exploded. Researchers were no longer innovators; they were expected to be managers, accountants, and regulatory experts. The administrative burden had become a mountain that blocked the path to actual discovery.

The Three Buckets of Innovation

A three-panel illustration showing the transition from manual research development to AI-driven institutional data integration.

Aimee built a structured system to amplify capacity rather than just automate emails. This framework, which she shares in detail on her website at aimeeoke.ai, breaks down into three distinct categories.

1. The Assistants

The first step involved automating the monotony that creates a heavy cognitive burden for any research office.

  • The NOFO Analyzer: This tool digests complex funding opportunities and strips away jargon so faculty can focus strictly on science.

  • The Bio Sketch Helper: This assistant helps researchers translate their history into the specific mentoring philosophy required for NIH training grants.

  • The Budget Reviewer: A custom tool trained on university policies that catches compliance errors before they reach the central office.

2. The Builders

Even without a formal coding background, Aimee proved it is possible to build high value software using "Vibe Coding." By describing a vision in plain language to an AI model, she created a custom app for the university's annual research day. This replaced a static PDF booklet that most people usually ignored.

3. The Visualizers

By using AI to learn complex data tools, Aimee performed a full network analysis of faculty collaborations in just four hours. In the past, this task would have required a dedicated data scientist and weeks of coordination.

The Virtual Red Team

A tiered graphic illustrating a multi-layered approach to research document review, featuring the Wordsmith Style, Clarity Methodology, and the Quant levels.

One of her most creative applications is the "Virtual Study Section." This involves a group of AI personalities designed to stress test grant proposals before they are submitted.

  • The Veteran: A grumpy reviewer who looks for any reason to say no.
  • The Quant: A reviewer who nitpicks methodology and power calculations.
  • The Wordsmith: A personality that focuses strictly on style and clarity.

This gamified experience allows faculty to receive meaningful feedback in a safe environment. It ensures that by the time a grant reaches a real reviewer, the arguments are already ironclad.

Final Thoughts: Reclaiming the Mission

A minimalist illustration of a research administrator balancing a brain and a growth-focused book while managing a complex web of deadlines and data.

By automating repetitive work, Aimee reclaimed ten hours of her work week. That time was not used to do less work but to innovate and support faculty at a higher level. The lesson for research offices is clear. You do not need a massive budget or a specialized IT department to start. You need a domain expert who is tired of the status quo. AI does not replace your judgment, but it certainly amplifies your capacity to do the work that actually matters.


Using Atom's AI System to Streamline Funding Discovery

While individual workflows are a powerful state, institutional success requires a scalable system. Many offices face the same recurring pain points:

  • Manual searching: Spending hours sifting through messy government databases.
  • Outdated spreadsheets: Managing opportunity lists that are irrelevant by the time they reach faculty.
  • Administrative burnout: Researchers spending more time seeking money than doing science.

If you are struggling with these bottlenecks, take a look at our case studies to see how peer institutions use Atom Grants to move from manual coordination to automated, high-impact research development. To see how our platform can modernize your specific office, book a demo with our team today. To learn more about these specific AI workflows and tools, visit aimeeoke.ai or get in touch with her team.

About Aimee

Associate Director of Research Programs, Colorado State University. Aimee is a research administrator with 21 years of experience in the College of Veterinary Medicine and Biomedical Sciences. She has contributed to over 35 NIH training grant proposals and currently oversees programs supporting more than 60 trainees annually. Unlike a typical tech evangelist, she views AI through the lens of a domain expert who knows which tasks eat your time and which shortcuts hold up under audit. After having her own "three sleepless nights" moment with AI in late 2024, Aimee committed to becoming fluent in the technology. She now spends six to eight hours a week studying the latest developments from major labs and the SmarterX AI Mastery Academy. She built aimeeoke.ai to provide the roadmap she wished she had starting out: open access frameworks and practical starting points for research administrators ready to get started.


About the Author

Raphaël Bernier

Head of Growth, Atom Grants

Helping universities modernize research development with AI to reduce admin burden, increase faculty engagement, and improve proposal success.

LinkedIn: https://www.linkedin.com/in/raph-bernier/

Contact: raphael@atomgrants.com

Location: New York

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