Enterprise AI Deployment & Business Leadership
Enterprise AI leader with 25+ years taking organizations from executive vision to production deployment, bridging business strategy and hands-on technical delivery across regulated, high-stakes environments.
Founded by leaders at:
Areas of Focus
Applied Agentic AI
Closing the last-mile gap between AI capability and production deployment. Real-world patterns for governance, orchestration, and scaling across regulated enterprises.
Explore →Enterprise Systems & AI
Bridging legacy ERPs (SAP, Oracle) with modern AI via MCP, semantic models, and data architectures. AI value without expensive upgrades.
Explore →Business Technologist Leadership
How AI reshapes leadership roles. The people and judgment that actually drive transformation— beyond speed, toward strategy.
Explore →Latest Insights
AI Isn't Just Making Leaders Faster. It's Enabling a Role That Took 30 Years to Name
Most conversations about AI and leadership miss the structural shift. AI enables the Business Technologist— a leader combining business expertise with technical depth. But the real differentiator isn't the thickness of the T. It's the judgment at the joint.
Read Article →The Last-Mile Problem with Agentic AI: Notes from Eight Weeks at MIT
Pilots succeed; deployments stall. The gap isn't capability—it's organizational readiness. McKinsey data: 39% of enterprises are experimenting with agents, but only 23% have scaled. Here's what shifts the curve.
Read Article →Bridging AI and ERPs: Building an MCP Server for SAP via BigQuery
Connect SAP (via BigQuery Cortex) to Claude with MCP. Let business users ask their ERP data questions in plain English, without IT tickets or SQL expertise. Includes three deployment patterns: local dev, serverless production, and hybrid.
Read Article →Ready to Transform?
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