AI for Compliance Risk Management in Life Sciences
This SAP Concur blog post explores the use of AI in compliance risk management in the life sciences industry. Citing a Deloitte survey, it notes manufacturers use AI and RPA to monitor financial transactions, implement automatic controls, automate manual processes, and review contracts for compliance. AI can increase data review, audit frequency, identify anomalies, and prioritize compliance risks. The article emphasizes knowledge-based and model-based approaches to identify risk, and the importance of data visualization and human interaction.
Impact and considerations
Life sciences companies can use AI to improve compliance monitoring efficiency, reduce risks, and optimize resources.
Key points
- AI and RPA can monitor financial transactions and identify non-compliant behavior
- Implement automatic controls to prevent overspend
- Automate manual processes like data extraction and form filling
- Review contracts for compliance
- AI can increase data review and audit frequency
- Data visualization turns insights into action
Sources and time
- Primary source
- SAP Concur
- Other sources
- 0
- First source publication
- 29 Jun 2022, 19:47
- Page published
- 14 Aug 2026, 08:36
- Last updated
- 29 Jun 2022, 19:47
- Original links
- SAP Concur Blog：Utilizing Artificial Intelligence to Manage Compliance Risks within Life Sciences (opens in a new tab)Primary source · en · Published 29 Jun 2022, 19:47