GREAD

Run Consequential AI Workflows With Explicit State From Decision To Effect

Coordinate deterministic logic, models, APIs, tools, policy, human judgment, events, durable state, and business actions through one governed Execution Graph - where an external effect carries its own state, and work already in flight stays bound to the version that started it.

A timeout is not permission to repeat a consequential action.

Frozion keeps identity, authority, policy, versions, state, capability eligibility, external effects, and evidence connected as the application moves from decision to action.

One versioned Execution GraphEffects with explicit stateRunning work bound to the version that started it

Build the application workflow as one governed execution

Enterprise AI applications move through many different kinds of work. One execution may query data, retrieve knowledge, run a calculation, invoke a model, call an API, choose a tool, apply policy, ask a person for judgment, wait, retry, update an external system, and preserve evidence.

  • what happens and what may happen
  • under whose authority it happens
  • which data and capabilities are eligible
  • when human judgment is required
  • what state survives and what effect may commit

Benefit: Turn AI and automation steps into a complete operational application governed from start to finish.

Security shield over a connected execution surface
Complete governed execution from decision to effect.

Keep every step connected through typed contracts

Reliable AI applications need more than a sequence of boxes. Inputs, outputs, schemas, mappings, query results, API requests, model proposals, policy facts, review packages, and external actions need explicit meaning before execution.

A model output can be evaluated as a proposed business object rather than accepted merely because it is valid JSON. An API response can be mapped into a known contract rather than passed downstream as an opaque payload.

Benefit: Keep application meaning intact as work crosses deterministic logic, AI, APIs, tools, and people.

AI application workflow panels
Typed contracts keep transitions inspectable.

Use one Execution Graph for the complete application behavior

The Execution Graph is the versioned definition of how an application behaves.

It connects deterministic nodes, queries, APIs, models, tools, policy, approvals, events, timers, callbacks, reusable subgraphs, conditional paths, joins, loops, and external actions.

Each node operates against explicit inputs and outputs. Each transition remains part of the same application execution. The graph connects contracts, authority, policy, state, versions, capabilities, human decisions, external effects, and evidence.

Explore the Execution Graph

Build governance directly into the execution path

Policy becomes useful when it can change what the application actually does. Frozion places policy inside the Execution Graph so behavior can respond to identity, role, tenant, taxonomy, purpose, data sensitivity, confidence, application state, deployment route, and consequence class.

Visual Policy Builder

Create nested policy logic as inspectable typed facts, conditions, branches, obligations, approvals, and enforcement points.

Policy facts

Evaluate known application facts rather than relying on loosely interpreted strings.

Obligations

Require masking, logging, stronger assurance, human review, or evidence before execution may continue.

Enforcement points

Apply policy where the consequence occurs, not as detached proof elsewhere.

Explore Policy & Governance by Construction

Carry identity and authority into every capability call

Models, APIs, tools, and services should not become independent sources of application authority. The AI Control Plane invokes capabilities inside the active Execution Instance so the application preserves subject, actor, workload, tenant, purpose, delegated authority, scope, policy, credential audience, and evidence requirements.

Governed tool routing

Select tools eligible for the active operation.

Workload identity

Use a service identity appropriate to the invoked capability.

Delegated authority

Preserve whose authority the workload is exercising.

Capability gates

Evaluate whether a model, tool, API, or service is permitted.

Bring human judgment into the active execution

A reviewer can enter with the active business record, retrieved evidence, calculated features, Context Package, policy conditions, application history, current state, and proposed action. The Execution Graph waits for the human decision as a durable state transition.

Explore Identity & Security
Reviewers collaborating on a governed action
Benefit: Let human judgment refine and authorize consequential work without leaving the application state.

Give consequential operations explicit identity and state

External actions can time out after committing, be retried, complete asynchronously, return ambiguous results, partially succeed, require reconciliation, or require compensation.

AI execution book

Business Operation Identity

Connect intended action, attempts, retries, callbacks, reconciliation, effects, and evidence.

Effect state

Not attempted, attempted, confirmed, ambiguous, failed, reconciled, compensated.

Execution state record

Version binding

Work in flight stays bound to the version that started it.

Timeout discipline

A timeout is never treated as permission to repeat a consequential action.

Verify the action before committing the effect

Before committing a consequential effect, Frozion can re-evaluate whether the current state permits it, the active authority remains valid, required policy obligations are satisfied, approval still applies, and the action matches the reviewed proposal.

Verified shield and effect boundary
Benefit: Keep final action aligned with the state, authority, policy, and authorization that made it permissible.

Route work to the right eligible capability

Frozion can select among query, calculation, rule, specialized capability, model, and human judgment using task contract, authority, data sensitivity, policy, region, deployment route, confidence, quality, latency, cost, and provider availability.

[1]

Deterministic-first routing

Use exact capabilities where they satisfy the contract.

[2]

Confidence escalation

Escalate when the current route cannot meet quality.

[3]

Policy-controlled routes

Limit which models or providers may process workloads.

[4]

Degraded operation

Continue when a model route is unavailable or ineligible.

Explore Model & Capability Routing

A supplier account-change request through the AI Control Plane

One Execution Graph carries the application from analysis through governed business action.

[1]

Start with active authority

Identity, tenant, purpose, scope, and assurance establish the active boundary.

[2]

Assemble context

The Data Plane supplies the eligible evidence and facts.

[3]

Apply policy

Policy decides obligations, allowed routes, and review requirements.

[4]

Preserve history

Context, decisions, effects, and versions remain connected for replay.