Navigate AI transformation with someone who has been building neural networks since they were considered exotic. From assessment to implementation, you get pragmatic guidance grounded in three decades of real-world AI.
From early neural nets to GPT‑4 and Claude, you get advice from someone who has shipped AI systems across multiple hype cycles.
Next opening for a new AI strategy engagement: This Month
Most clients start with a 90-minute AI readiness and use case session.
Context matters. I've seen AI hype cycles come and go. I built neural networks in the 90s, predictive analytics in the 2000s, and now help businesses leverage GPT-4, Claude, and modern AI platforms. This perspective helps separate what's real from what's marketing.
Timeline
1993 – Started working with neural networks and early machine learning.
2000s – Led AI‑powered automation projects at Fortune 500 companies.
2010s – Built predictive analytics systems for enterprise clients.
2020+ – Advising businesses on GPT, Claude, and modern AI implementation.
End‑to‑end strategy and implementation support, from identifying real opportunities to deploying AI safely in production.
Evaluate your infrastructure, data maturity, and organizational readiness so you know where AI can create value safely.
Discover high‑ROI AI opportunities specific to your business model, constraints, and industry dynamics.
Design robust AI systems that integrate cleanly with your existing stack and respect security, compliance, and governance.
Hands‑on guidance through pilots, vendor selection, integration, and rollout so strategy turns into working systems.
Bring your teams up to speed on AI capabilities, limitations, and operating best practices so adoption actually sticks.
Define KPIs, baselines, and measurement frameworks so AI investments are tracked, compared, and optimized over time.
A pragmatic, step‑by‑step process that meets you where you are and builds towards durable AI capabilities.
Ideal for: CXOs, product leaders, and technology heads who want a sober, business‑first perspective on where AI fits—and where it doesn’t.
01
Deep dive into your processes, data, and objectives to map where AI can create defensible, measurable value.
02
Prioritized AI roadmap with realistic timelines, investment levels, and risk management baked in.
03
High‑impact pilots to prove value quickly, build buy‑in, and refine your operating model around AI.
04
Scale successful pilots, iterate based on results, and embed AI into day‑to‑day operations and governance.
Concrete, near‑term applications of AI tailored to your vertical—not vague innovation theater.
You’re not buying AI theater. You’re getting battle‑tested judgment from someone who has implemented AI responsibly at scale.
"The biggest risk in AI right now isn’t missing a model release—it’s making large, irreversible bets on brittle ideas."
My role is to help you avoid those bets and still move aggressively where the payoff is real.
Working with AI since 1993 means I know the difference between enduring capabilities and short‑lived buzzwords.
We start from your P&L, customers, and constraints—not from a model release or vendor deck.
Decades leading technology at Fortune 500s means governance, security, and change management are built‑in.
From vendor selection to pilot execution and training, we stay involved until value is demonstrably created.
In 90 minutes, we’ll identify 2–3 high‑impact AI opportunities, surface key risks, and map your next 30–60 days.
No obligation. If we don’t identify at least one meaningful opportunity or risk, you shouldn’t work with me.

Fractional CTO + Marketing Automation for growing businesses.
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