Clinical Trial Compliance Automation
Let your AI agent review protocols, spot regulatory changes, and prepare compliance reports—so you can focus on running your studies, not chasing paperwork.
You spend hours in Excel, email threads, and shared drives tracking every protocol change and regulatory update. As a study coordinator, you’re constantly worried about missing a deviation or new FDA guidance. Manual checks eat up your week and leave you anxious before every sponsor audit.
An AI agent that reviews study protocols, checks regulatory requirements, and flags compliance risks for clinical research coordinators.
What this replaces
The hidden cost
What this is really costing you
In clinical research, study coordinators juggle endless tasks—cross-referencing IRB protocols, updating logs in REDCap, and monitoring regulatory changes from the FDA and NIH. Manually reviewing documentation and preparing deviation reports means combing through emails and spreadsheets late into the night. The constant risk: missing a critical update or protocol deviation that could trigger an audit finding.
Time wasted
2-3 hours/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$7,000/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
Overlooking a protocol deviation or regulatory update can lead to compliance violations, delayed trial milestones, audit failures, and even study suspension.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
2-3 hrs/week
of manual work
With your AI agent
25 min/week
agent-handled
You save
$5,800/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Quick Protocol Audit
You ask your agent to review recent study activities and summarize any protocol deviations for your weekly team meeting.
Regulatory Change Check
You ask your agent to scan for new local or federal regulations that might impact your ongoing trials.
Deviation Report Prep
You ask your agent to generate a summary of all compliance issues detected in the past month for sponsor review.
Policy Cross-Check
You ask your agent to compare a new study procedure against all current institutional policies before implementation.
How to hire your agent
Connect your tools
Link your clinical trial management, data capture, and document management tools used for study oversight.
Tell your agent what you need
Type: 'Check last week's study activities for protocol and regulatory compliance issues.'
Agent gets it done
The agent returns a clear report highlighting any compliance gaps, flagged risks, and suggested corrective actions.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Protocol Deviation Detection
Scans REDCap activity logs and IRB documents to identify and summarize any protocol deviations for coordinator review.
Regulatory Update Monitoring
Checks FDA.gov and NIH policy bulletins, then flags relevant regulatory changes affecting your current studies.
Compliance Documentation Review
Analyzes uploaded SOP PDFs and generates a concise validation report highlighting areas of non-compliance.
Deviation Report Generation
Drafts formatted deviation summaries based on findings from study logs and protocol documents for sponsor or PI review.
Policy Cross-Referencing
Compares new study procedures against institutional SOPs and alerts you to any conflicts or missing approvals.
AI Agent FAQ
Yes, your agent can review exported data from REDCap, OpenClinica, or Medidata Rave. Simply upload CSVs or PDFs—the agent analyzes the files and returns a compliance summary.
The agent checks FDA.gov, NIH policy updates, and institutional bulletins on request. It does not run continuously, but you can prompt it anytime you need an update.
Your AI agent uses advanced language models to compare study activities and documentation against protocols and regulations. Final sign-off should always be done by a qualified coordinator, but the agent reliably flags issues for review.
All files are processed using encrypted channels (TLS 1.3) and deleted immediately after analysis. No data is stored or used for model training. Always follow your institution’s data privacy requirements.
As long as you provide the relevant site documents and logs, the agent can review compliance across multiple locations. Multi-language support is in development; currently, it analyzes English-language files.
See how much your team could save with AI
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