AI & GOVERNANCE

What to automate. What to govern.

A working framework for evaluating AI in research operations.

Choose a bounded task

Begin with a task whose purpose, inputs, and expected outputs are clear. Answering approved logistical questions is a different task from interpreting a participant’s individual circumstances.

Keep review specific

Name the person who owns the approved content and the person who handles exceptions. “Human oversight” becomes useful when those responsibilities are explicit.

Create an exit to a person

Test what happens when the assistant cannot answer, receives unexpected information, or is asked to go beyond its role. A participant should have a clear route to human help.

Inspect the interaction

Review examples with your team. Ask whether the record captures enough context to understand what was said, what happened next, and who acted.

Reassess when the study changes

Protocol changes, new languages, and new channels can change the task. Review the workflow again before extending automation into a different context.

An introductory planning guide. Review study-specific requirements with your institution and research team.

YOUR NEXT STUDY STARTS WITH A CONVERSATION

Good questions deserve
better-connected research.

Bring your questions. We’ll explore the workflow together.

LET’S CONNECT

Your study.
Our starting point.

Tell the Aims team a little about your research. This prepares an email in your email app.

Please don’t include participant or sensitive study information.

Or email sales@aimsinnovations.com directly.

Aims RMS participant pipeline interface

Product screenshot from Aims Innovations