I design enterprise AI ecosystems spanning Agentforce AI, Service Cloud Voice, CCaaS AI, Conversational AI, Azure AI, Claude AI + MCP, RAG, LLMs, speech intelligence, and autonomous orchestration.
25+ years leading enterprise architecture and intelligent transformation—from cloud, CRM and contact centers to GenAI, agentic systems and AI-powered customer experience.
I help organizations design the operating model, architecture, data foundation, AI orchestration layer, and contact-center ecosystem required to move from isolated AI pilots to secure, scalable enterprise intelligence.
My work connects enterprise AI, Salesforce, CCaaS, cloud, knowledge, data, APIs, speech, automation, and human operations into one coherent target-state architecture.
Technology choices are tied to measurable enterprise outcomes, not vendor preference.
I connect AI platforms, conversational interfaces, enterprise knowledge, CRM, contact-center channels, and autonomous agents into governed architectures that can understand, reason, retrieve, act, and resolve.
LLM integration, retrieval-augmented generation, grounding, vector search, prompt architecture, guardrails, evaluation, and enterprise knowledge.
Agentforce AI, Claude AI with MCP, multi-agent patterns, tool use, workflow execution, human-in-the-loop controls, and Next Best Action.
Real-time speech-to-text, text-to-speech, intent understanding, virtual agents, IVA/IVR, conversation intelligence, and agent assistance.
Agentforce, Service Cloud Voice, Data Cloud, Einstein AI, Customer 360, Omni-Channel, CRM context, automation, and AI-powered service.
Amazon Connect, Genesys Cloud CX, NICE CXone, Cisco Webex Contact Center, intelligent routing, workforce intelligence, analytics, and AI automation.
Azure AI and Azure OpenAI patterns alongside Amelia AI, Kore.ai, Google CCAI, and composable enterprise AI services.
I architect autonomous Agentforce agents that understand intent, retrieve enterprise context, take action across systems, and resolve requests — including the production build behind the UChicago Medicine + Salesforce Agentforce for Health initiative.
Data, knowledge-base, and integration-readiness assessment ahead of agent deployment.
Benchmarking where an organization stands on the path to autonomous service.
Tying agent design decisions to CSAT, handle time, and cost-to-serve.
Sequencing use cases from quick wins to full autonomous operations.
Voice is one channel among many — and it should behave like it. I architect Service Cloud Voice deployments that unify telephony with the same context, routing logic, and AI layer as every other channel.
I help organizations choose the right platform — rather than selling a specific one. Every recommendation starts with business requirements, not vendor allegiance.
Career began as a Cisco Network Engineer — a foundation that later informed direct, hands-on migrations off legacy Cisco contact center infrastructure. Earlier CCaaS architecture roles include the U.S. Department of Veterans Affairs and Pacific Life.
An interactive simulation of SMS, email, speech-to-text and text-to-speech working with Conversational AI, RAG, LLM orchestration and enterprise systems.
Static FAQ trees and rule-based bots were the last generation. The current one reasons, retrieves context, and takes action — escalating intelligently only when a human is genuinely the right next step.
Writing and speaking on Agentforce, agentic AI, contact center transformation, and enterprise architecture — featured in national business media and delivered at AWS's flagship industry events.
A cross-platform certification portfolio supporting enterprise AI, cloud architecture, cybersecurity, DevOps, data, contact center transformation, Salesforce, and intelligent automation.
For Enterprise AI strategy, Agentforce and Service Cloud Voice, CCaaS modernization, conversational AI, MCP/Claude integration, RAG/LLM architecture, or intelligent transformation programs, send me a note and include your preferred meeting time.
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