Your analysts shouldn't be doing QA by hand.
DossierDock automates the preflight checks your team does manually today, including section completeness, filename conventions, cross-section consistency, and packaging constraints. Catch blocking defects before the reviewer handoff. Reduce rework loops. Ship on deadline.
The rework problem
Every round-trip between analyst and reviewer is a day lost. Your team spends hours on mechanical QA, checking section mappings, verifying filenames, and confirming dates match across documents. That work could be automated.
DossierDock catches these defects on preflight run, not during reviewer QA. Blocking findings come with specific remediation text written for the analyst doing the fix.
The multi-market problem
When the same evidence needs to go into AMCP, EU JCA, and AMNOG packages, your team reshapes manually. Different section structures, naming conventions, and portal constraints are tracked in spreadsheets or tribal knowledge.
DossierDock models each channel's requirements as versioned templates and rulepacks. Upload evidence once, map it across deliverables, and validate each one against its own channel-specific rules.
The accountability problem
When a payer or HTA body asks "who approved this version?", your team searches email threads and shared drives. When a new team member asks "what's required for AMNOG Module 3?", they get a PDF from 2019.
DossierDock records every mapping change, preflight run, approval, and export in an immutable audit trail. Readiness gates are enforced, not suggested.
How a DossierDock pilot works.
We work with your team on a real (or realistic) submission workflow. Before the pilot starts, we agree on two measurable KPIs, like "blocking defects caught before reviewer handoff" or "time from first upload to approved export." The pilot runs on your data, your templates, your team's workflow. We tune overlays and remediation text based on what your analysts actually encounter. At the end, we measure against the agreed KPIs.
Let's scope a pilot →