See what the application may do. Then see what it did.
Connect queries, deterministic logic, models, APIs, tools, policy, human decisions, events, waits, reusable subgraphs, and external actions through one versioned Execution Graph.
Frozion keeps contracts, authority, state, versions, and evidence connected as the application runs.
Build the behavior of the application, not just the sequence of steps
Contracts and data
Each node can participate in data eligibility, typed contracts, mappings, proposals, outputs, and validation.
Authority and policy
The path can carry subject, workload, tenant, purpose, delegated authority, assurance, and policy state.
State and evidence
Waits, retries, human decisions, effect state, versions, and evidence remain part of the same application model.
Separate what the application may do from what it actually did
The Published Graph defines approved behavior for new executions. The Realized Execution Graph shows the path one Execution Instance actually took.
Published Graph
Possible paths, conditions, capability eligibility, waits, human-review requirements, fallback paths, effect boundaries, and evidence obligations.
Realized Execution Graph
Executed nodes, selected capabilities, policy decisions, reviewers, events, retries, and committed external effects.
Inspect the running graph in the same model used to design it
Validate the graph before it governs real work
A visual connection should not imply executable validity. Frozion can validate structural, governance, and evidence relationships before publication.
Give agents room to reason inside governed boundaries
An agent may propose a plan, choose among eligible tools, request more information, revise an approach, or invoke an approved reusable pattern.
Keep generated work as a proposal until the graph allows it
A generated plan or child graph can remain inside the application control boundary instead of becoming the authority for consequential behavior.
Connect every kind of application step without pretending they are the same
Keep the path to action explicit
The graph can carry authority with execution, place policy on the path to consequential actions, and let work continue through people and time.
Map one consequential AI process as an Execution Graph.
Use an architecture review to identify the contracts, policy checkpoints, durable waits, human decisions, and effect boundaries that should be visible before the application runs.