Where SaMD Submissions Lose Time and Budget
510(k) submissions with a software component require a documentation package that is both technically precise and structured to FDA's eSTAR format expectations. At $500K–$4M per submission, a significant portion of that spend goes toward regulatory consultants producing documentation that, in many cases, follows a repeatable structure derived from your team's own prior work — DHF templates, risk-management frameworks, and SOUP inventories that already exist somewhere in Jira and Confluence. The inefficiency is in reconstructing and translating that institutional knowledge into formatted regulatory documents, engagement after engagement.
How the Agent Accelerates the Technical File
An AI Labor Company agent mines your product-RA team's existing Jira tickets, Confluence design history file entries, and risk-management documentation to extract the templates and decision patterns your team has already established. From there, managed agents auto-draft the Software Level of Concern rationale, IEC 62304 Software Development Lifecycle Plan, and SOUP management documentation — structured to FDA eSTAR expectations. The Head of Product Regulatory Affairs reviews and approves each technical file section before submission. The agent produces the draft; your regulatory team ensures it's right.
The Business Case: Reducing Per-Submission Consulting Spend
The direct value is cost reduction on regulatory consulting. Teams using this approach typically see per-submission consulting spend fall by around 35%, with overall documentation workflow efficiency in the 50–70% range. The agent is generally live within about 12 weeks. The compounding value across a product portfolio is significant — each submission builds on a documented playbook rather than starting from scratch, so the cost curve bends down as the program matures. For a digital health company with multiple SaMD products in pipeline, that efficiency gain directly extends how far a fixed regulatory affairs budget goes.
Does the agent understand IEC 62304 software safety classification?
The agent is trained on IEC 62304 requirements and FDA guidance on software in medical devices. It drafts Software Level of Concern rationale and safety classification arguments based on your device's intended use and software function. Your regulatory team reviews every classification decision before it goes into the technical file — the agent surfaces the argument, your team validates it.
What if our design history file is fragmented across Jira, Confluence, and shared drives?
That's the typical state. The agent is designed to ingest documentation across Jira and Confluence, and can be extended to other document sources. The initial setup phase — roughly the first few weeks — focuses on mapping and ingesting your existing DHF artifacts so the drafting work builds on your actual documentation, not generic templates.