AI Use Case Identification SOP

This detailed SOP provides IT professionals, business analysts, and project managers with a structured framework for identifying AI use cases within an organisation.
It includes:
– Step-by-Step Process Flow: Outlines essential subprocesses such as Use Case Discovery, Use Case Workshop, and Use Case Evaluation, with clear actions, decision points, and feedback mechanisms to ensure the identification of AI opportunities that align with business objectives and operational needs.  
– Risk Management: Identifies key risks such as lack of data availability, misaligned use cases, and poor stakeholder engagement, with mitigation strategies like thorough data assessments, stakeholder collaboration, and continuous feedback to enhance the effectiveness of AI use case identification.  
– Compliance and Regulatory Requirements: Ensures adherence to relevant regulations, including GDPR and data privacy laws, by integrating compliance checks during data analysis and use case evaluation to safeguard legal and regulatory adherence.  
– Key Performance Indicators (KPIs) and Controls: Defines KPIs such as use case feasibility success rates, ROI calculations, and stakeholder feedback scores, with controls like structured workshops, ROI assessments, and regular stakeholder reviews to ensure continuous improvement and alignment with organisational goals.  
– RACI Framework: Clearly defines roles and responsibilities for each task in the use case identification process, ensuring that project managers, business analysts, data scientists, and stakeholders are accountable and engaged at every stage.  
– Systems Requirements: Details the necessary systems, including Data Analysis Tools, Collaboration Platforms, Feedback Collection Systems, and ROI Calculation Tools, to support the use case identification process and ensure secure, efficient, and effective management.  
– Appendices: Provides practical resources such as use case discovery checklists, workshop facilitation templates, and real-life case studies to guide users through each stage of the AI use case identification process effectively.