From AI agents running inside my own operations to systems built for clients, every engagement is shaped around how your business actually works — not configured from a template.
For 22 years, I built and led a specialty agricultural products company spanning import/export, B2B and B2C channels, e-commerce, and global manufacturing partnerships. I sold the business earlier this year. That experience shapes how Helm approaches AI — informed by operating reality, capital risk, and the work of actually delivering products to market. Helm works with organizations in two ways: Advisory — supporting founders and growth-stage executives in making informed, efficient decisions around AI strategy, architecture, vendor selection, and prioritization. And Implementation — designing and deploying tailored workflows and AI agents within existing systems. The approach is grounded in the same tools and environments I use myself, ensuring recommendations are practical and proven.
Helm follows the CPMAI methodology — the project management framework purpose-built for AI initiatives. Six phases, condensed into a focused engagement model. We identify where your business is leaking revenue, time, or focus, then build systems that produce measurable outcomes.
Built on the PMI-aligned CPMAI methodology for AI project management.
Todd Salemi spent 22 years building and leading a specialty agricultural products company — import/export, B2B and B2C channels, e-commerce, and global manufacturing partnerships. He sold the business earlier this year. He founded Helm to bring an operator's lens to AI: running AI agents inside his own work, building systems for clients, and translating complexity into clear, actionable decisions. Helm engagements are organized around the PMI-aligned CPMAI methodology, measured against three outcomes — revenue captured, hours reclaimed, and margin protected.
Based in Dana Point, California.
Practical takes on AI strategy, implementation, and the operator lens.
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