Operating Paths
The shareable growth object for governed enterprise work.
An Operating Path turns an enterprise problem into coordinated action across people, enterprise systems, providers, automation, AI models, and AI agents.
It is the reusable operating asset that defines what signals matter, how context is interpreted, which policies apply, what actions are allowed, when humans must participate, and how the outcome is validated. In Aegora's product-led model, the path is also what gets simulated, shared, forked, and later deployed into governed runtime.
What An Operating Path Is
The path owns the operating logic, not the model.
The Operating Path should stay stable even as models, tools, providers, and deployment environments change. It is designed to capture the enterprise operating definition rather than hide it inside prompts, scripts, or one-off automations.
Activation Lifecycle
How Operating Paths move from first proof to governed runtime.
Paths are governed, versioned operating assets rather than disposable workflow fragments or prompt wrappers.
Generate from a problem
Start with the enterprise problem and turn it into a governed path draft instead of hand-assembling a generic automation.
Simulate before deployment
Run the path through synthetic scenarios so teams can inspect decisioning, approvals, and evidence before deep integration.
Share and fork
Treat each path as a governed asset that can be inspected, versioned, forked, and adapted to enterprise conditions.
Deploy through governed runtime
Bind capabilities and move the path into local, managed, or enterprise runtime so signals become operating cases and execution remains policy-aware.
Portable Authoring
Paths can be generated and validated before they reach runtime.
Aegora supports a specification-backed authoring flow so builders can validate a path, review warnings, simulate representative scenarios, and only then import it into a governed runtime context.
{
"signals": ["canonical.events", "source findings", "approvals"],
"context": ["entities", "risk", "policy", "identity"],
"decisions": ["recommended_action", "approval_requirement"],
"execution": ["bounded actions", "human fallback", "evidence capture"],
"validation": ["outcome checks", "risk after execution", "decision memory"]
}Representative Examples
Concrete Operating Paths for real operational work.
These examples illustrate the shape of the category without pretending to be a complete catalog.
Critical Vulnerability on a Privileged Device
Turn vulnerability findings, identity risk, business importance, approval thresholds, remediation actions, and risk-reduction proof into one governed path.
Privileged Access Review
Coordinate identity, role, entitlement, business need, approvals, revocation, and evidence through one accountable execution model.
Compliance Evidence and Control Validation
Connect evidence requirements, owners, validation rules, exceptions, and remediation into a repeatable path instead of a manual scramble.
Employee Onboarding and Offboarding
Synchronize identity, devices, applications, approvals, system tasks, provider steps, and evidence for each lifecycle event.
Cloud Provisioning and Change
Apply architecture policy, security controls, cost boundaries, approvals, provisioning actions, and validation across cloud operations.
Humans And Models
Humans remain accountable. Models remain participants.
An Operating Path can recommend, route, score, summarize, or prepare bounded action proposals. High-risk actions still branch through policy and human approval. The path preserves the record either way.
First Path
Start with the path where simulation, approval drag, or proof gaps already hurt.
The right first Operating Path is usually the one where policy, identity, risk, and evidence are hardest to hold together today.