AI and the new standard for global transparency reporting

PwC helps pharmaceutical and medical device organizations automate recipient matching—reducing manual effort and strengthening reporting defensibility at scale.

In global transparency reporting, accuracy isn’t optional. But transparency teams aren’t struggling with reporting rules—they’re struggling with scale.

Matching transaction recipients to public healthcare provider databases across multiple countries is often manual, fragmented, and difficult to standardize. As transaction volumes grow, so does the operational burden—along with the risk of inconsistencies that can create compliance exposure.

PwC is helping pharmaceutical and medical device clients modernize and streamline this process with a new AI-powered recipient identification capability that automates recipient matching and strengthens reporting defensibility.

Using AI-driven analysis, the capability reviews incoming transactional data and attempts to match recipients against various public datasets, in jurisdictions where available, to help determine reportability under applicable transparency regulations. Automated validation reduces reliance on manual review while improving consistency, traceability, and audit readiness across large transaction volumes.

The capability is currently supporting U.S.-based transparency reporting but is expanding to additional key markets where public healthcare professional datasets are available, including France and Belgium. The scalable design enables repeatable deployment across countries while maintaining alignment with local regulatory requirements.

The impact is measurable. The recipient identification agent can reduce manual recipient matching effort by an estimated 50–70%, translating to approximately 40,000–56,000 hours saved annually across PwC US transparency and compliance operations teams. In addition to efficiency gains, automated matching improves delivery accuracy at scale—helping reduce errors and strengthen confidence in reporting outcomes.

What this delivers for transparency teams

Reduced manual effort
Automation can cut recipient matching effort by an estimated 50–70%.

Significant time savings
Organizations may realize an estimated 40,000–56,000 hours saved annually.

Improved reporting accuracy
Standardized, automated matching enhances consistency and defensibility.

Scalable global deployment
Capability supports expansion across jurisdictions with public HCP datasets.

By combining AI-driven automation with regulatory domain expertise, PwC’s capabilities help pharmaceutical organizations strengthen transparency compliance—improving efficiency, accuracy, and scalability across global reporting obligations.