> INITIALIZING INDUSTRIAL GTM KERNEL...
> ESTABLISHING OT/IT CONVERGENCE HANDSHAKE...
> CONNECTION SECURE: PHYSICAL_AI_ECOSYSTEM
> PARSING 18 YEARS OF ENTERPRISE REVENUE DATA...
> STATUS: READY FOR EXECUTIVE SCALE.
Physical AI & Industrial Autonomy GTM Leader with 18 years commercializing OT/IT convergence, Industry 4.0, IIoT, and cybersecurity — transforming complex enterprise platforms into compounding revenue engines.
Physical AI & Industrial Autonomy GTM Leadership
I help enterprise organizations commercialize AI systems that sense, reason, and act in the physical world.
Physical AI is the discipline of commercializing AI systems that sense, reason, and act in the physical world. Industrial Autonomy is the operating model that enables these systems to scale across manufacturing, energy, logistics, and critical infrastructure. The Industrial Autonomy Stack defines how these systems are built. The Physical AI Cockpit defines how they are operated. The GTM Architecture — Sense → Reason → Act defines how they are adopted.
Digital twin, Physical AI, edge inference, then orchestration.
Bringing layers online…
The rarest skill in enterprise technology is not knowing the product — it is making industrial buyers say yes before the category language exists. That is what I have executed for 18 years across DCIM at Schneider Electric, cyber-physical resilience at Dell Technologies, and Physical AI today.
I bridge the historic divide between plant floor OT operators and boardroom enterprise IT executives — serving as the strategic quarterback between product management and sales to convert buyer skepticism into signed enterprise contracts.
"Most Physical AI companies fail at commercialization because they hire SaaS GTM leaders who don't understand OT environments. The winners will be led by executives who can speak both languages fluently."
How an unstructured Physical AI / IIoT motion became a CFO-aligned commercial engine: ICP rebuild, narrative overhaul, and 60-day POC architecture.
Architecting end-to-end go-to-market engines for AI platforms that sense, reason, and act in the physical world — defining ICPs, category narratives, and sales velocity motions.
Bridging the deep divide between plant-floor OT operational stakes and enterprise IT governance — crafting positioning that aligns maintenance heads, plant managers, and CIOs.
Translating autonomous inspection, closed-loop process control, and real-time inference into quantifiable operational ROI and board-level risk reduction.
Repositioning data protection and cybersecurity around physical operational uptime — elevating critical infrastructure defense into board-level strategic mandates.
Scaling channel, SI, and hyperscaler co-sell programs (AWS Greengrass, Azure IoT Hub) to accelerate pipeline velocity and expand regional wallet share.
Arming technical enterprise sales and engineering teams with modular competitive playbooks, shortening deal cycles in complex accounts.
OT/IT narratives for plant managers and CIOs — SCADA/DCS accounts, predictive uptime, and CFO-aligned EBITDA cases.
Open industry playbookAsset performance and risk reduction for generation and renewables fleets — APM motions that clear OT sponsor and IT governance.
Open industry playbookCyber-physical resilience and operations intelligence for upstream assets and downstream reliability programs.
View related casesSmart-factory GTM for Tier-1 suppliers — compressing enterprise cycles with structured POCs and dual OT/IT buyer maps.
Open industry playbookPhysical AI category language for automation platforms that sense, reason, and act on the plant floor — not feature lists.
Open Autonomy StackPhysical Operations Intelligence across manufacturing and logistics — unified narrative where buyers once saw disconnected services.
View related casesIndependent Strategic Advisory · New York, NY
UST Global · Aliso Viejo, CA (NA & EMEA)
Uptake Technologies · Chicago, IL ($50M+ Industrial AI Platform)
Dell Technologies · Boston, MA ($500M+ Global Portfolio)
Schneider Electric · Boston, MA (Origin of Physical AI)
Bridging physical security and sensor infrastructure with enterprise operational IT. Legacy sales motions treated hardware and monitoring as commoditized point solutions rather than an intelligent uptime platform.
Engineered a unified OT/IT positioning framework across global regions (NA, EMEA, Middle East). Established cross-regional enablement playbooks that positioned edge data collection as high-margin operational intelligence.
Why Physical AI is the next $500B industrial category and why pure SaaS playbooks fail on the plant floor.
Practitioner methodology for commercializing complex B2B platforms, coordinating analyst relations, and building sales velocity.
Connecting enterprise cybersecurity directly to machine uptime, industrial safety, and executive governance.
I'm available for executive VP GTM, Head of Product Marketing, and strategic advisory conversations with enterprise organizations commercializing AI for physical environments. If you're building the industrial AI infrastructure of the next decade — I want to talk.