Career Highways Launches SIGN™: An Open Knowledge Standard for AI Agents

Career Highways has released SIGN™ (Sigil Intelligence Graph Notation), a new open standard that turns enterprise policies, rules, and definitions into a structured format AI agents can read, audit, and act on. The company has also filed patent applications related to the technology and is making SIGN™ freely available under the MIT License.

As businesses move AI agents into real operations, a gap keeps appearing: agents can find information but struggle to apply company rules, respect constraints, or explain their decisions. SIGN™ closes that gap with a compact, token-efficient knowledge layer between enterprise systems and AI agents — one that can reduce representation overhead by up to 50% compared with formats like JSON, while keeping decisions governed and traceable.

SIGN™ lets organizations capture five things agents need: facts, rules, constraints, inference patterns, and provenance. The result is knowledge that’s structured, enforceable, versioned, and auditable — so an agent’s output can be traced back to the exact rule, source, and version behind it.

“SIGN™ gives organizations a governed way to declare what they know, what rules apply and what an agent is allowed to do with that knowledge,” said Liz Eversoll, CEO of Career Highways. “It is the missing contract layer between enterprise knowledge and agentic AI.”

Documentation, examples, and the codebase are available now on GitHub. Learn more at careerhighways.com.