Physical AI & Agentic AI GTM Frameworks
Physical AI GTM Architecture
A structured system for commercializing AI that interacts with the physical world.
- Sensing layer: devices, sensors, and edge data.
- Reasoning layer: AI models, analytics, and decision engines.
- Action layer: automation, workflows, and operational change.
- Buyer narrative: OT, IT, and executive alignment.
- Adoption path: proof-of-value → rollout → scale.
Agentic AI Buyer Narrative Framework
Translates autonomous, agentic AI capabilities into enterprise-ready narratives that drive adoption and trust.
- Role-based messaging for operators, architects, and executives.
- Safety, control, and accountability objection handling.
- Adoption sequencing from pilot to production.
- ROI modeling tied to uptime, efficiency, and risk reduction.
OT/IT Convergence Playbook
Bridges operational technology and information technology buyers with unified GTM and shared outcomes.
- Unified persona mapping across OT, IT, and business leadership.
- Cross-functional workflows for sales, product, and customer success.
- Translation of technical capabilities into commercial value.
Cyber-Physical Resilience GTM System
Positions cybersecurity as operational uptime for asset-intensive enterprises.
- Reframing data protection as resilience and continuity.
- Outcome-based messaging tied to downtime avoidance.
- Competitive plays that drove 42% win-rate lift and 37% market share growth.
Industrial Segmentation Engine
AI-driven segmentation model for manufacturing, energy, and process industries.
- Eliminated $2M in wasted ad spend.
- Lifted marketing ROI 15% and conversion rates 25%.
- Enabled precision targeting of high-value industrial accounts.
Portfolio projects: View portfolio projects
Based in Long Island, New York