Governed AI Application Platform

Build AI applications where authority survives from data to action.

Create enterprise applications that connect governed data, AI, tools, human judgment, durable workflows, and business actions on one Shared Application Model.

Governed Data Context Assembly Continuous Authority Durable Execution Evidence
1

Identity and scope

The active user, workload, tenant, purpose, and permitted boundary start the work.

2

Eligible data and context

Retrieval, facts, features, history, and provenance assemble only what may shape the decision.

3

Action and evidence

Policy, human approval, durable execution, external effects, and replay stay connected.

Complete application control

Build complete AI applications with control from data to action

Frozion brings application experience, governed context, policy, human judgment, durable state, external action, and evidence into one operating model.

Control eligible data

Constrain retrieval, operational facts, knowledge, features, cache, memory, and history to the active identity, purpose, scope, freshness, and provenance.

Coordinate execution

Combine deterministic logic, AI, APIs, tools, events, policies, retries, and durable workflow steps without losing the authority behind the work.

Bring people into context

Give reviewers the business record, evidence, calculated facts, policy conditions, execution state, and exact proposed action in the same process.

Pause and resume safely

Let long-running workflows wait for people, callbacks, schedules, documents, and downstream systems while keeping state, versions, and authority intact.

Verify final effects

Before a consequential update is committed, confirm the external action still matches the approved state, policy, authority, and business operation.

Preserve evidence

Keep the context, analysis, policy, human decision, authorization, execution version, external action, and resulting business effect connected.

How it works

Protect a supplier bank-account change from request to execution

1

Assemble the case

Start with identity, supplier and tenant context, purpose, assurance level, eligible records, invoices, contracts, change history, and supporting evidence.

2

Review in context

Analyze the change with deterministic checks, models, APIs, knowledge, policies, and a reviewer who sees the same active application context.

3

Commit with evidence

Verify the approved action before ERP or payment-system update, then preserve the full path from permitted information to final effect.

Result: the payment instruction being executed can be traced back to the information, policy, reviewer, and approval that authorized it.
One shared application model

One platform for the complete application

Frozion separates the core responsibilities while keeping them connected through the same governed application model.

App Builder

Create secure portals, dashboards, forms, queues, contextual AI experiences, review workbenches, knowledge applications, and evidence views around governed work.

Explore App Builder

AI Control Plane

Coordinate deterministic logic, AI, APIs, tools, visual policy, approvals, events, durable execution, model routing, retries, effects, versions, and evidence.

Explore AI Control Plane

AI Data Plane

Connect operational data, knowledge, retrieval, context assembly, features, state, cache, memory, provenance, and evidence under shared authority.

Explore AI Data Plane
Existing architecture

Keep control connected across the systems you already run

Identity providers, databases, data platforms, APIs, models, workflow tools, business applications, and logs can remain specialized components while Frozion preserves the application-level relationships that need to survive across them.

Identity
Data
Models
APIs
Business apps

Build your next AI application on one governed foundation

Bring Frozion an enterprise AI application, knowledge, workflow, or data problem. We will map the user experience, data, AI, human judgment, execution, identity, governance, state, external actions, and evidence required to turn it into an operational application.