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TealFlow Workflow Execution Diagram TealFlow enables declarative governance workflows defined in YAML. Instead of imperative policy code, teams define governance pipelines as composable jobs with dependencies, conditions, and org-level inheritance. Parent organizations set governance floors that child teams cannot weaken.
TealFlow addresses the “governance at scale” problem: how do you enforce consistent governance across 50 teams, 200 agents, and 3 environments without becoming a bottleneck? Declarative workflows with inheritance and floor enforcement.

Why This Matters

Compliance alignment: NIST AI RMF (GOVERN 1.1 — organizational policies), ISO 42001 (A.5.2 — AI policy), SOC 2 CC1.1 (control environment).

YAML Workflow Definition


Parsing and Execution

Execution Result


Job Dependencies

Jobs can declare dependencies on other jobs. TealFlow resolves the dependency graph and executes jobs in the correct order, parallelizing independent jobs.
Execution timeline:
Circular dependencies are detected at validation time and rejected. TealFlow will not execute a workflow with cycles.

Org-Level Inheritance

Organizations define base workflows that all child teams inherit. Child workflows can add jobs but cannot remove or weaken inherited jobs.

Organization Workflow (Floor)

Team Workflow (Inherits + Extends)

Floor Enforcement


Conditional Execution

Jobs can include conditions that determine whether they run:

Programmatic API


Workflow Validation


Integration with TealEngine

TealFlow integrates with TealEngine v1.3 as the workflow orchestration layer: