Org-Graph
Your organization as machine-readable context. A structured representation of roles, teams, workflows, KPIs, data ownership, and decision authority — the foundation for agents that understand your business.
Flat prompts fail in complex organizations.
AI agents operating without organizational context produce generic, misaligned, and often dangerous outputs. They don't know who owns the data, who approves the decision, or what the actual workflow is.
No Role Awareness
Agents don't know who they're serving, what that person's authority is, or what information they should and shouldn't access.
No Process Context
Without workflow knowledge, agents skip steps, bypass approvals, and produce outputs that don't fit the actual business process.
No Accountability Mapping
When something goes wrong, there's no way to trace the decision back to organizational roles, policies, or data ownership.
Your organization, structured for AI.
Roles & Teams
Structured representation of who does what, reporting lines, team composition, and cross-functional relationships.
Workflows & Processes
Business processes, approval chains, escalation paths, and handoff points encoded as traversable graphs.
KPIs & Objectives
What success looks like for each role, team, and process. Agents optimize toward real business outcomes.
Data Ownership
Who owns what data, who can access it, and under what conditions. Critical for governing agent behavior.
Decision Authority
Who can approve what. Budget thresholds, signing authority, and escalation triggers mapped to the org structure.
Incentive Structures
How people and teams are measured. Agents understand the motivations and constraints of the humans they serve.
What Org-Graph makes possible.
Improved Accuracy
Agents grounded in organizational structure produce outputs that are relevant, properly scoped, and aligned with real workflows.
Enhanced Safety
Data access, action scope, and decision authority are enforced based on organizational reality, not just static rules.
Contextual Relevance
Every agent interaction is shaped by who's asking, what they need, and where it fits in the organizational picture.
Built on organizational theory, not just engineering intuition.
Org-Graph draws from decades of organizational design research, decision theory, and systems thinking. We model organizations as information-processing systems — because that is what they are, and that is what agents need to understand.
This is not a fancy org chart. It is a computationally useful representation of how your organization actually works: how decisions flow, where authority lives, what data matters, and how people and processes connect.
Ground your agents in organizational reality.
Learn how Org-Graph can make your AI systems smarter, safer, and more aligned with how your organization actually works.