Helping organizations prepare for software's next interface.
AgenticPath was created to help software companies and enterprise technology teams navigate the shift toward AI agents that can access information, use tools, and complete workflows. The challenge is not simply connecting an AI model to an API. Organizations must decide which capabilities should be exposed, how agents should understand them, what permissions they need, where human approval belongs, how data should be protected, and how the experience should be operated over time. We bring these decisions into one practical agent-readiness framework.
Help organizations create useful, secure, understandable, and controllable interactions between AI agents and business systems.
The principles that guide our work.
Agent readiness is a business discipline, not only a technical project.
MCP should support a valuable workflow, not become a technology demonstration.
Security boundaries should be designed before tools are exposed.
Agent UX should be treated as part of the product experience.
Human control should remain visible and intentional.
Implementations should be observable, testable, and reversible.
Consulting should create reusable internal capability—not permanent dependency.
Led by experience across AI, SaaS, product strategy, and go-to-market execution.
Gary Truitt is a technology entrepreneur and product strategist focused on helping companies turn emerging AI capabilities into practical software products, workflows, and business outcomes.
Start with an agent readiness conversation.
Whether you are exploring MCP, planning an agent-enabled product, or reviewing an existing implementation, we can help you determine the right next step.