Executive Technology Leadership for Growth-Stage Healthcare Organizations

Before building an AI-augmented practice, I spent 18+ years in enterprise technology leadership—and that foundation matters.

I started at a helpdesk in 2007, knowing I wanted to solve complex problems with technology but not yet knowing how. Over nearly two decades at companies including Northridge Systems (acquired by Perficient in 2012), Troutman Sanders, and most recently Perficient (where I rose to Director of Cloud & AI Platforms), I learned how technology actually transforms organizations.

How my enterprise expertise applies to healthcare specialty clinics:

Notable engagements: As Director at Perficient, I led multiple enterprise-scale platform modernization and migration projects for major integrated health systems, academic medical centers, Fortune 500 financial services and transportation companies, and large law firms—bringing cross-industry best practices to every engagement. This enterprise-scale experience informs my approach to multi-location healthcare technology leadership for specialty clinics managing post-acquisition consolidation and standardization.

My approach applies enterprise assessment frameworks to specialty clinic challenges: clinical documentation automation (analyzing documentation burden reduction while maintaining payer compliance), referral coordination systems (modeling cross-location capacity optimization), multi-payer revenue cycle optimization (identifying DSO and denial rate improvements), and EHR consolidation planning. The methodology adapts enterprise-scale assessment frameworks for mid-market healthcare practices through AI-augmented analysis.

I've managed distributed teams across the United States, India, and Latin America. That experience translating strategic direction into coordinated execution across time zones and cultures? It directly informs how I approach multi-location operational coordination for specialty clinics today.

Here's what matters from this background: I've seen what works at enterprise scale, and I understand how to adapt those patterns for mid-market organizations. I don't recommend technology because it's cutting-edge—I recommend it because I've implemented it successfully multiple times and know where the implementation risks hide.

I built a 30+ agent system to demonstrate the future of professional services.

I believed AI tools could augment—not replace—strategic consulting. That a practitioner using technology efficiently could deliver enterprise-quality results faster and at lower cost than traditional consulting firms. That transparency about methodology would build trust.

So I built it. AI tools for research, analysis, and pattern recognition, orchestrated through systematic processes and quality checks. Not a proof of concept—my actual business operations.

I'm transparent about this approach because I believe the consulting industry is heading this direction. Solo practitioners and boutique firms will increasingly use technology to work more efficiently. Quality improves, costs decrease, speed increases. I'm proving this model works for complex, high-stakes consulting—and sharing the journey.

I'm focusing on multi-location healthcare specialty clinics—pediatric therapy centers, behavioral health practices, outpatient rehabilitation facilities—because they face unique AI adoption and transformation challenges.

AI Adoption Challenges:

• Vendor hype vs. reality: Vendors claim 90% efficiency gains; reality requires careful implementation
• HIPAA compliance uncertainty: Most vendors have BAAs, few have proper PHI handling protocols
• Staff resistance and fear: Change management needed to address job security concerns
• Payer acceptance risk: Improper AI documentation can cause significant Medicaid clawbacks
• Cost justification pressure: Need objective ROI analysis, not vendor marketing

Transformation Scaling Challenges:

• EHR consolidation after acquisitions: Integrating multiple different EHR systems
• Staff adoption resistance: Clinicians resisting workflow changes
• Multi-location operational complexity: Standardizing processes across multiple clinic sites
• Revenue cycle inefficiencies: Extended DSO and high denial rates vs. benchmarks

My enterprise healthcare background provides the AI Strategy expertise specialty clinics need but can't afford from Enterprise consultants. I bring enterprise AI governance and transformation expertise to mid-market healthcare through efficient AI-augmented methodology.

All future client work will operate under signed Business Associate Agreements with HIPAA-compliant protocols: de-identified operational data analysis, human validation before client-facing recommendations, comprehensive audit trails.

Enterprise technology expertise alone isn't enough—solutions must work in actual clinical environments with real therapists treating real patients.

My technology transformation expertise is complemented by insights from practicing clinicians, including my wife—a Doctor of Physical Therapy and Professional Development Director at a multi-location pediatric specialty clinic. This ensures every recommendation is validated for clinical workflow fit, therapist adoption barriers, and patient care impact.

You get enterprise transformation expertise grounded in clinical operations reality. That's the combination that makes technology implementations actually succeed.

I offer four engagement tiers designed for low-risk entry and scalable growth:

Let's talk if you're leading a multi-location specialty clinic and asking "What do we do about AI?" or wrestling with EHR consolidation, staff adoption challenges, or revenue cycle inefficiencies.