4CRISK’s Guide To AI Deployment

Based on the provided document, 4CRisk.ai's guide to AI deployments is divided into two main phases: "Program Strategy and Governance" and "Project AI Initiatives Execution".

The "Program Strategy and Governance" phase focuses on establishing a strong foundation for AI within an organization. This involves defining AI strategy and governance by building on existing structures and engaging key stakeholders from business, IT, and security. It also includes defining AI principles and implementing policies, procedures, and reporting processes by expanding from the current framework.

The "Project AI Initiatives Execution" phase is about the practical implementation of AI projects. This process begins with creating an AI initiatives roadmap that is aligned with the business and IT's current roadmaps and objectives. Next, organizations should define use cases and prioritize them based on value, anticipated ROI, and business case, involving key users and leaders in the process. The initiatives are then scoped by defining accountabilities, reporting, and technology, while leveraging legal, procurement, and third-party resources for buy-in and resources. A pilot evaluation is run to confirm or adapt assumptions and the business case. It is also important to anticipate organizational changes by involving HR and training groups early on. Finally, organizations should execute the project phases, roll out based on readiness, train users, and continuously improve by adapting and sharing learnings.