Why I Built AgentsOrg
I've spent over a decade building data science and AI systems inside enterprise organizations, turning complex datasets into operational intelligence and embedding AI into everyday workflows.
When leading large-scale AI adoption programs, I kept running into the same problem: as AI creation spread across teams, visibility collapsed. No one knew what had been built, who built it, whether it was any good, or whether three different teams had built the same thing. The governance gap was real and no tooling existed to close it.
I built the internal tooling to solve it. AgentsOrg is that, open sourced so every AI transformation leader can benefit from it, not just one organization.
Recognized by OpenAI
The enterprise AI transformation program Ori led was featured by OpenAI as an example of organizations successfully embedding AI into internal workflows at scale.
Read the OpenAI case studyBackground
Building data science and AI systems across enterprise organizations, from analytical models and data pipelines to AI agents and workflow automation.
Designing internal governance frameworks, enabling employees to build AI tools, and creating adoption programs that scale AI usage across entire organizations.
Building AI systems that automate operational tasks, surface insights from complex datasets, and embed intelligence directly into everyday work across platforms like Salesforce, Snowflake, and others.
Founder of the AI Mind initiative: a program focused on scaling AI literacy, governance, and operational capability across large organizations.
"AI transformation is not about tools. It's about building systems that combine data, models, and workflows to create measurable business impact, and making sure those systems are governed, discoverable, and improving over time."