About Specified AI
Get Specific.
Our Vision
General-purpose AI can generate answers, but operational work requires more: domain knowledge, approved tools, defined workflows, and human oversight. Specified AI exists to close that gap—designing agentic systems that are built around a specific business rather than a generic use case.
"Get Specific" means moving from general-purpose AI experimentation to purpose-built intelligence that performs clearly defined business work, reviewed and validated by experts at every stage.
How We Work
Built Around the Work
We begin with the operational job, not a predetermined model or tool.
Expert-Supervised Delivery
Agents accelerate research, engineering, testing, and documentation while experts provide architecture, review, and validation.
Connected to Your Environment
Systems can work with approved organizational knowledge, APIs, applications, and workflows.
Tiered by Complexity, Not by the Hour
Engagements are structured around the depth of the system being built rather than an open-ended hourly meter.
Leadership
Cortez Polk
Founder
Cortez brings a background in cloud architecture, security, and AI/ML systems to Specified AI, with prior experience designing mission-critical infrastructure for enterprise clients across finance, healthcare, and technology.
That background—particularly in security, machine learning, and large-scale systems—shapes how Specified AI approaches agentic systems: built around real operational controls, not just model output.