To improve process efficiencies, regulatory chemistry manufacturing, controls, and operations teams need to assess the real need for automation.
Specific process automation requirements can be defined by:
- Mapping the entire end-to-end process.
- Identifying process steps that can be automated.
- Understanding the rationale for automation, maturity of process, business value, and availability of data.
For effective management of regulatory automation, organizations must consider the following:
Intelligent operations: Push data-driven models through smart alerts and workflows.
Technology simplification: Enables programs to make the technology landscape smarter, scalable, and future-ready.
Data repositories: Improve data quality and accuracy by adopting standard approaches and allied technologies.
AI and cognitive: Leveraging advanced technologies to convert information from structured and unstructured sources into knowledge and actionable insights.