Illustrative scenario

Faster 510(k) Submissions Without the Consulting Overhead

Every 510(k) submission costs a medical device OEM somewhere between $500K and $3M — and a significant portion of that goes to regulatory affairs consultants doing work that is largely structured and repeatable: scanning FDA databases, populating equivalence matrices, drafting biocompatibility summaries. If you're a VP of Regulatory Affairs, you know which parts of a submission require genuine expert judgment and which parts are assembly.

Up and running in ~10 wkFor: VP Regulatory Affairs, medical device OEM
Estimate your payback
~4 mo
Payback period
$1.8M
Est. savings / year
+$1.2M
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

Where 510(k) Costs Accumulate

The expensive part of 510(k) preparation isn't the regulatory strategy — it's the document assembly that surrounds it. Predicate research requires systematic MAUDE and 510(k) database scanning. Substantial equivalence analysis follows a structured matrix that changes predictably from submission to submission. Biocompatibility summaries per ISO 10993 follow a defined framework. RA teams and their consultants spend the majority of their hours on this assembly work, leaving less bandwidth for the judgment-intensive review that actually requires their expertise.

How an AI Agent Accelerates Preparation

An AI Labor Company agent mines the RA team's Slack conversations and eRoom document drafts to reconstruct how your team actually approaches each submission. It then deploys agents to systematically scan FDA MAUDE and 510(k) databases for viable predicates, auto-populate the substantial equivalence matrix with documented comparisons, and draft biocompatibility summaries aligned to ISO 10993 requirements. The VP RA reviews and approves each section before it's uploaded to FDA eSTAR — the agent does the assembly, the regulatory team provides the sign-off.

The Business Case: 35% Lower Consulting Fees Per Submission

This is a direct cost story. AI Labor Company's agent demonstrably reduces RA consulting fees by approximately 35% per submission by absorbing the structured assembly work that currently consumes the bulk of consultant hours. Across a device portfolio with multiple 510(k)s in flight, that compounds quickly. Efficiency on the preparation work typically runs 50–70%, and the agent is generally live and contributing to an active submission within about ten weeks. The VP RA's time shifts toward the review and certification work that requires their expertise — not document production.

Questions

Does the agent have access to current FDA MAUDE and 510(k) database data?

Yes. The agent is built to systematically query FDA's publicly available databases as part of the predicate research workflow, so its predicate scanning reflects current device classifications and cleared submissions.

What happens if a predicate analysis requires a novel equivalence argument?

Novel or contested equivalence arguments are routed to the VP RA for review before the section is finalized. The agent handles the structured portions; genuinely judgment-intensive determinations stay with your regulatory team.

Can this work across multiple submissions simultaneously?

Yes. One of the core advantages is that the agent can run parallel preparation tracks for different submissions without the bandwidth constraints that limit a human RA team or consulting firm.

Related use cases

Illustrative scenario for healthcare, pharma & life sciences. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

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