Utilizing AI to Manage Compliance Risks in Life Sciences
Mark Linver, Managing Director of Deloitte Life Sciences Advisory, discusses how life sciences manufacturers can use artificial intelligence (AI) and robotic process automation (RPA) to manage compliance risks. Since it is not feasible to audit all activities involving healthcare professionals (HCPs), compliance organizations use a risk-based approach. A Deloitte survey shows manufacturers want to use AI to monitor financial transactions in real time, implement automatic controls to prevent overspend, automate contract reviews, and more. AI can increase the amount of data reviewed, the frequency of audits, identify anomalies, and prioritize compliance risks. The article also covers knowledg…
Impact and considerations
The application of AI in compliance risk management can help life sciences companies improve audit efficiency, reduce costs, and potentially affect how travel and expense spending is monitored.
Key points
- Life sciences manufacturers use a risk-based approach to prioritize monitoring of high-compliance-risk activities involving HCPs.
- A Deloitte survey shows manufacturers want to use AI and RPA to monitor financial transactions in real time, implement automatic controls to prevent overspend, automate contract reviews, and more.
- AI can increase the amount of data reviewed, the frequency of audits, identify anomalies, prioritize compliance risks, and manage possible investigations.
- Predictive analytics can prospectively assess compliance risk, and machine learning can surface performance trends difficult to identify manually.
- Data visualization software can put cognitive intelligence insights into visual context to help decision-makers take 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