• Supporting the development and execution of internal AI use cases tied to: Knowledge capture and retrieval, Research synthesis and insight generation, Delivery playbooks, templates, and execution models, Internal workflow efficiency and quality control • Designing and prototyping internal AI tools and agents that support Advisory delivery excellence (e.g., research assistants, internal knowledge agents, delivery support tools) • Assisting with data preparation, structuring, and basic pipelines for internal experimentation • Translating Advisory team needs into clear technical and functional requirements • Testing and refining AI tools to ensure they are usable, reliable, and valuable for non‑technical users • Creating clear documentation, demos, and internal guidance to support adoption and knowledge sharing • Researching emerging AI tools and best practices relevant to knowledge management, execution quality, and responsible AI use