🩺 AI Transformation Partner for Healthcare | Generative and Agentic AI for Clinical Workflows. MedStar. INOVA Health. Tricare. Accenture. Oracle. CIPP/US
Fairfax, VA
Joined January 2013
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Are you a "non-technical" business owner, or executive, who recognizes that AI matters, but are unsure
• what to implement
• where to begin
• what is safe
• what will produce ROI
• how to avoid expensive mistakes
Let's talk about it.
Free consult.
aistrategyconsultant.com
Marketing becomes easier when you can visualize their problem and immerse yourself emotionally in their daily reality.
Your copywriting's objective is not for them to understand your product. It's for them to feel understood.
How wealth is going to be distributed . tiktok.com/t/ZPLD1Q9hY/
[VIDEO] AI is Coming for Every Medical Specialty youtu.be/iJfF_VC10tI?is=BJLh…
We're witnessing the beginning of a fundamental shift in who—or what—businesses must design their digital customer experience for.
🛒 Human shoppers
Emotion, visual appeal, brand trust, storytelling, convenience and personal preference.
🛒 AI shopping agents
Structured information, verifiable claims, accurate pricing, availability, compatibility, policies and reliable transactions.
The strategic shift is that businesses need to make their advantages both
• emotionally compelling to humans
• machine-interpretable for AI agents
I remember the frustration of the IVR systems of the past. And some companies still have them! With awful music 🎵 like they want you to hang up!
@Forbes shows that 83% of people would rather speak to a human than an AI when contacting a business.
Be very careful when building inbound AI voice agents with @retellai and @vapiaibusiness that are public-facing. This is another touchpoint and brand experience that you're creating. The age, gender, accent and personality of the voice customization matter.
While AI can handle fast, routine, low-complexity FAQs, high-stress or emotionally charged problems (like billing errors or lost orders) require human nuance, judgment, and actual empathy.
Many customers get trapped in endless automated loops—often compared to old-school phone trees without a zero button—repeating themselves to a bot that gives the exact same generic answer.
[VIDEO] The Death Of The Influencer and The Future Of Creative Work with @thedankoe
youtu.be/CZ5WyfbXtH4?is=Gest…
The introduction, integration and adoption of AI in your business comes with some new risks. So I thought I would categorize them for you.
🤖 Made with AI
Organization-wide AI readiness evaluates whether the business has foundational capabilities: leadership, financial resources, governance, workforce skills, security, and infrastructure.
Use-case-specific readiness evaluates whether a particular workflow is actually ready for AI.
The key financial metric in AI should be cost per successfully completed business outcome, not just cost per million tokens.
A less expensive model that fails repeatedly may ultimately cost you more than a premium model that completes the task correctly the very first time.
AI is not simply another category of "software" that businesses purchase.
AI introduces a different operating model for cost, reliability, predictability, governance, and business continuity.
The concept I am trying to articulate is the shift from SaaS software subscription economics to AI operating economics, with token conservation and expenditure.