Protocol Review Agent
Checks a draft protocol for consistency, completeness, and alignment between objectives, endpoints, and criteria.
Our AI agents take on the slow review work in clinical research, such as checking a protocol or a set of tables, and hand a clear, sourced result back to the people who make the decisions.
An agent is given a task, the relevant documents, and your standards. It works through the task step by step: it retrieves what it needs, analyzes it, and drafts a result with its reasoning and the sources it used.
The agent never has the final say. It proposes, and a qualified person reviews and approves before anything is used. The value is in the hours of reading it removes, not in replacing judgment.
The Protocol Review Agent reads a draft clinical trial protocol and checks it the way an experienced reviewer would. It looks for internal contradictions, gaps against your template, mismatches between objectives and endpoints, and inclusion and exclusion criteria that do not line up across sections.
It returns a structured list of findings, each pointing to the exact section it came from, so the study team can act on them quickly. The team stays in control of every change.
See it on your protocolEach one is scoped to a specific task, grounded in your data and standards, and reviewed by a person before its output is used.
Checks a draft protocol for consistency, completeness, and alignment between objectives, endpoints, and criteria.
Proposes mappings from collected data to SDTM domains, with the reasoning behind each, for a programmer to confirm.
Drafts dataset specifications and define.xml, then cross-checks them against the actual data for mismatches.
Compares tables, listings, and figures against their specifications and flags anything that does not match.
Drafts patient safety narratives from structured data for a medical writer to review and finalize.
Scans published literature on a schedule and summarizes possible pharmacovigilance signals for assessment.
Checks a submission package against structural and standards requirements before it goes to a health authority.
Reviews study data for discrepancies and drafts queries for data management to confirm and send.
The same dependable pattern sits behind every agent.
The agent is given your documents, data, and standards to work from.
It plans and runs the task in steps: retrieve, analyze, and draft.
Every action and source is logged so the result can be traced.
A qualified person checks and approves before the output is used.
Agentic tools only belong in clinical work if they meet the same bar as everything else.
Agents act within defined boundaries and permissions, and a person signs off on anything that leaves the system.
Agents run inside your environment. Clinical and patient data is not sent to outside services.
Every finding carries its source and the steps behind it, so reviewers can check the reasoning, not just the answer.
Tell us where your team spends hours reading and checking. We will scope an agent for it and prove the value before going further.
Talk to our team