AI Deployment and Monitoring Process Playbook

This detailed playbook provides IT professionals, project managers, and data scientists with a structured framework for managing AI deployment and monitoring within an organisation.
It includes:
– Step-by-Step Process Flow: Outlines essential subprocesses such as Model Deployment Preparation, Model Implementation and Monitoring, and Continuous Improvement, with clear actions, decision points, and feedback mechanisms to ensure successful AI model deployment and ongoing optimisation based on real-time data and feedback.
– RACI Framework: Clearly defines roles and responsibilities for each task in the AI deployment and monitoring process, ensuring that project managers, quality assurance managers, IT managers, and end-users are accountable and engaged at every stage, promoting a transparent and data-driven approach to AI model deployment and continuous improvement.