Build Practical AI Literacy
Partner with training and operations teams to develop role-based enablement across the enterprise (sales, service, ops, leadership)
Equip teams to effectively use AI platforms, Copilot tools, AI agents, and prompt & agent libraries
Provide ongoing support through office hours, coaching, and trainings materials
Reinforce expectations for when and how AI should be used; Ensure responsible AI usage by incorporating governance and guardrails into training, communications, and playbooks
Support Integration of AI Into Workflows
Partner with business and operations teams to roll out AI capabilities and integrate them into daily work; Develop change management strategies & educate teams on AI benefits.
Identify where AI can meaningfully improve workflows, quality, and speed; Help define roles of AI (automate, augment, or escalate) vs human
Ensure AI usage is clear, repeatable, and consistent to shift from manual to AI-assisted workflows
Shape and Prioritize High-Value AI Opportunities
Understand pain points and translate needs into clear, actionable AI use cases; Identify where AI can deliver meaningful workflow improvements and practical impact
Bring structured recommendations to inform prioritization and sequencing of AI efforts
Act as a bridge between business users and AI/product teams to ensure solutions reflect real needs, are adopted, and deliver value; Provide insight into what will drive adoption and proactively identify where solutions are likely to stall
Support business teams in owning outcomes and driving adoption; Ensure success metrics are defined and use data to continuously refine prioritization and enablement strategies
Drive Continuous Improvement and Scalable Adoption
Gather feedback from users on what’s working, where friction exists, & where trust is low
Partner with engineering to improve usability and effectiveness of AI solutions
Continuously refine enablement materials, guidance, and approach
Enable acceptable AI usage, citizen development, and sharing & reuse of AI tools
Share success stories, use cases, best practices, and lessons learned to accelerate adoption across teams