This model illustrates how learner engagement flows through an LMS/LXP orchestration layer, supported by AI-driven guidance and automation, and generates analytics that connect learning activity to performance and business outcomes within enterprise systems such as Salesforce.
This representative architecture is based on my experience designing enterprise learning ecosystems across LMS administration, Salesforce-based enablement, and AI-powered workflow design. It reflects how I approach learning as an integrated system that connects platforms, content, automation, and analytics to business outcomes.
Organizations struggle to scale onboarding, product knowledge, and performance support across roles while maintaining consistency, relevance, and measurable impact. Learning systems must move beyond content delivery and function as integrated platforms that support behavior change and performance at scale.
I design learning ecosystems using a systems-first methodology:
Define user personas and performance needs
Map end-to-end learner and stakeholder journeys
Architect an integrated ecosystem of platforms, content, AI, and analytics
Define measurement strategies that connect learning activity to performance and business outcomes
Learning systems architecture and platform design
LMS/LXP orchestration and ecosystem integration
AI-enabled personalization, automation, and performance support
Analytics-driven measurement and impact modeling
Enterprise-scale enablement and scalability thinking
Canvas/LMS platforms, Salesforce CRM, Generative AI (Einstein, Copilot, ChatGPT), Agile delivery, learning analytics, content operations, system integration design.