Enterprise GenAI & RAG
Grounded retrieval, vector search, prompt design, AI quality, evaluation, and human-in-the-loop operating models.
Experience
AIWorks is grounded in executive program delivery, AI governance, CRM transformation, data platforms, GenAI, RAG, agentic AI, and regulated enterprise environments.
Selected Experience
Current advisory work includes C-level support for the Ohio Department of Children and Youth across PMO governance, Salesforce CRM program management, and emerging agentic governance for Salesforce-enabled operations.
Experience includes enterprise GenAI and RAG program delivery in regulated financial services environments, cloud and endpoint modernization, security transformation, and executive-level program governance.
Experience includes healthcare analytics, predictive risk models, clinical NLP, HIPAA-aware data governance, and AI-enabled care and operational analytics.
Experience includes customer and loyalty data platforms, Customer 360 programs, AI-enabled personalization, CRM modernization, mobile customer experience, and enterprise analytics across multi-brand retail environments.
Experience includes ML-driven risk prediction, compliance automation, regulatory reporting support, and enterprise program governance in utilities and infrastructure environments.
Experience includes program and product leadership for KwaaiNet / KWAAI.ai, a nonprofit initiative focused on AI access, education, and decentralized AI infrastructure.
Platforms & Capabilities
Relevant platform experience includes Salesforce, Dynamics 365, Oracle CX, Microsoft 365, Azure, Google Cloud, AWS, Snowflake, BigQuery, Vertex AI, LangChain, LlamaIndex, and enterprise AI/data ecosystems.
Grounded retrieval, vector search, prompt design, AI quality, evaluation, and human-in-the-loop operating models.
Customer 360, loyalty analytics, data lakes, cloud platforms, personalization, and AI-enabled CRM ecosystems.
Multi-agent orchestration, decision automation, explainability, trust, governance, and practical adoption planning.