Innovation Exploration
Build Internal AI Literacy and Readiness
Equip your marketing team with the AI knowledge and skills to lead, not follow, implementation
Problem
AI ambition often outpaces organizational readiness. Teams are asked to adopt new tools and ways of working without enough shared understanding, training, or operating clarity. That slows adoption, creates uneven usage, and makes it harder to turn early experiments into repeatable business value.
Solution
AI literacy and readiness programs help teams build practical understanding, shared language, and better habits for using AI in day-to-day work. Leaders can reduce confusion, improve adoption, and create a stronger foundation for scale. That makes future AI investments easier to govern and more likely to stick.
Capabilities
- Assess individual AI knowledge levels and skill gaps
- Build personalized learning paths by role and function
- Deliver hands on training through real marketing use cases
- Track adoption progress and tool utilization rates
- Identify and amplify internal AI champions
Benefits
- Transform AI from a technology investment into an organizational capability.
- Reduce the risk that AI tools collect dust because adoption never happened.
- Build a team that can lead AI implementation rather than waiting for someone else to figure it out.
Timeline
Skills assessment complete across the team, learning paths designed by role, pilot cohort enrolled in first training modules
Full team training underway, tool utilization metrics tracked, early champions identified and activated
Adoption benchmark established, productivity improvements, tool utilization rates, and skill progression measured and reported to leadership
Data Requirements
- Team roster with roles, functions, and current AI tool access
- Marketing technology stack inventory (tools in use and planned)
- Baseline skills assessment results by team member
- Tool utilization and adoption data from AI platforms in use
- Training completion and assessment score data
- Business outcome data by team member for productivity benchmarking
Integration Points
- Learning management system (Docebo, Cornerstone, LinkedIn Learning)
- Marketing technology stack (all active AI tools for usage tracking)
- HR platform (Workday, BambooHR) for skills and role data
- Project management (Asana, Monday.com) for work output tracking
- Analytics and reporting (Tableau, Power BI)
Team Requirements
- CMO (program sponsor, accountability owner)
- L&D or marketing enablement lead (training design and delivery)
- Marketing ops (tool access provisioning and utilization tracking)
- Internal AI champions (peer coaching and hands on support)
- HR business partner (skills framework integration and career path alignment)