MEDTECH

Automate post-market surveillance with an AI agent  with human oversight

Automate post-market surveillance with an AI agent  with human oversight

1–3 FTEs

Reallocated from repetitive review

70%

Reduced manual monitoring and initial analysis effort

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The challenge

Adverse event monitoring is continuous, high-volume, and time-sensitive. Asteri enables life sciences and MedTech teams to deploy an AI agent that executes the operational work of surveillance — so safety and quality teams can focus on triage, investigation, and action.

The Solution

From: 100% Human-Led Adverse Event Monitoring

In traditional post-market surveillance, teams manage the entire workflow manually:

  • Analysts periodically monitor regulatory sources and search for new reports

  • Reports are downloaded, exported, and consolidated across multiple sources

  • Data is manually cleaned, normalized, and entered into trackers or spreadsheets

  • Event Descriptions are reviewed one-by-one to interpret and tag issues

  • Teams manually identify trends across products, geographies, and time windows

  • Weekly or monthly summaries are built by hand

  • Auditability and traceability rely on manual documentation discipline

To: AI-Powered Monitoring with Humans in the Loop

With Asteri, an AI agent takes over the repetitive operational work while humans retain full oversight and decision authority.


Tasks handled by the Asteri AI agent:

  • Continuously monitor approved regulatory sources (e.g., FDA databases and other regulatory sites)

  • Ingest, de-duplicate, and normalize new reports into a structured format

  • Extract key fields from Event Descriptions (symptoms, device/product terms, failure modes)

  • Detect recurring keywords and emerging themes across incoming reports

  • Cluster reports by product, adverse event type, geography, suspected root cause, and time window

  • Flag potential safety signals and generate evidence-backed summaries for review

  • Maintain a complete audit trail of source links, extracted data, and agent outputs

  • Escalate findings to human teams based on configured thresholds (severity, frequency, novelty)


Tasks retained by human teams:

  • Review and validate flagged signals

  • Conduct investigations and root-cause analysis

  • Assess risk and determine escalation actions

  • Manage regulatory communication and reporting

  • Execute corrective and preventive actions (CAPA)

The Impact

  • Reduce manual monitoring and initial analysis effort by up to 70%

  • Reallocate 1–3 FTEs from repetitive review to higher-value investigation and decision-making

  • Improve speed and consistency of safety signal detection

  • Enhance traceability, audit readiness, and regulatory confidence

  • Enable always-on surveillance without increasing headcount

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