The team had a recurring compliance disclosure process that required manual preparation of state-level pharmaceutical pricing forms.
Each product required multiple forms, with information pulled from internal trackers and supporting files, then converted into PDF and prepared for review before submission. The work was repetitive, detail-heavy, and time-sensitive, with a high risk of delays or errors if someone had to manually copy data, generate documents, track status, and manage each state submission one by one. The project was triggered by the need to reduce manual effort, improve consistency, and create a more controlled workflow for recurring disclosure filings.
RAM Solutions built an RPA workflow that prepares recurring state-level pharmaceutical pricing disclosure packages. It reads product and filing data from controlled trackers, applies each product's calculation logic, generates the required disclosure forms and PDFs, organizes the files by product and state, and tracks completion status, with a human compliance review retained before every submission.
Reduced the preparation cycle for state-level pharmaceutical disclosure packages from roughly two weeks to about 10 minutes.
The automation supported disclosure preparation for Connecticut, Vermont, and Colorado, each with its own state-level filing requirements.
The workflow automated document preparation, calculations, PDF generation, and tracking while keeping compliance review and approval in human hands.
- How a CRE Law Firm Cut Lease Redlines to 15 MinutesModernEdge AI · Real Estate
- How One Hedge Fund Pushed Compliance From 30% to 95%Every · Financial Services
- How an Enterprise AI Vendor Surfaced 1,000+ Data ExposuresGenLift · Technology & Software
- How a Banking Roll-Up Surfaced 75 Shadow AI CasesTensile · Financial Services