27/01/26
PwC is expanding its AI capabilities to support pharmaceutical and life sciences organizations facing increasingly complex transparency reporting requirements. As invoice volumes grow and expectations for speed, accuracy, and auditability rise, manual invoice review can slow reporting cycles and increase compliance risk. PwC’s advanced document intelligence helps managed service teams to automate invoice review at scale—ultimately helping our clients achieve faster, more consistent, and audit-ready transparency reporting outcomes.
The AI-driven capability automates the multilingual extraction and consolidation of key invoice data required for transparency reporting, including HCP and HCO identifiers, payment amounts, service descriptions, and transaction dates. By reducing reliance on manual data parsing, PwC teams can process invoices up to 60–70% faster, reduce manual review effort by up to 80%, and improve data accuracy by up to 30%—strengthening reporting quality and reducing downstream rework.
Powered by an LLM-driven workflow with smart search, customized prompting, and bulk ingestion, the capability supports the simultaneous processing of thousands of invoices while maintaining auditability and governance. This enables transparency programs to scale efficiently as volumes increase and regulations evolve.
What this delivers for clients
By combining AI-driven automation, governance, and deep domain expertise, PwC continues to enhance transparency reporting for pharmaceutical and life sciences organizations—supporting accurate, audit-ready outcomes at scale.
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