I help enterprises transform customer service through Salesforce Agentforce, Service Cloud Voice, conversational AI, and modern CCaaS platforms.
25+ years leading enterprise architecture, customer experience transformation, contact center modernization, and AI-driven service innovation.
I work at the intersection of business strategy and applied AI — advising CIOs, CTOs, and Contact Center executives on where agentic AI actually creates value, and architecting the platforms that deliver it.
Aligning customer experience platforms with business outcomes — not the other way around.
Designing AI systems that reason, act, and resolve customer needs — not just answer questions.
Building scalable, secure customer engagement ecosystems that hold up under regulatory scrutiny.
Leading adoption and governance for AI-enabled operations, from pilot to production.
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.
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.