Use visual construction where it helps. Use code where it matters.

Benefit: Use the development approach appropriate to each requirement without creating a separate architecture for everything the platform did not build natively.

Enterprise applications eventually encounter requirements that generic components cannot anticipate.

Teams may need proprietary business logic, specialist algorithms, high-performance processing, existing enterprise services, industry-specific APIs, custom models, specialist data infrastructure, proprietary user interfaces, and provider-specific capabilities.

Frozion does not require those requirements to be rebuilt as visual configuration. Engineering teams can extend the application through defined capability boundaries while preserving the application semantics surrounding the extension.

Preserve source-to-runtime traceability

A deployed extension is more useful to engineering, security, and audit teams when they can identify which implementation or registered external capability participated in the running application.

For capabilities built and deployed by the organization, the extension lifecycle can preserve relationships such as source revision, build artifact, capability version, published application, Execution Instance, and evidence.

Benefit: Connect engineering and capability change history to the application behavior that actually ran.

AI capability implementation running in an application

Put every extension behind an explicit capability boundary

Benefit: Give custom code a governed place in the application rather than treating it as an opaque escape hatch.

Inputs

[1]

What information enters the capability.

Outputs

[2]

What the capability returns.

Schemas

[3]

The shape and meaning of the data crossing the boundary.

Identity and authority

[4]

Which subject, workload, tenant, purpose, and delegated authority apply.

Policy

[5]

Which conditions determine whether the capability is eligible to run.

Side-effect behavior

[6]

Whether the capability reads, calculates, proposes, persists, or changes an external system.

Versions

[7]

Which implementation and contract version belong to the published application.

Evidence

[8]

What execution information, receipts, or outputs remain afterward.

Bring Custom And External Capabilities Into Governed Execution

Most extensions exist because a requirement crosses into execution: an existing service, proprietary logic, a specialist algorithm, a particular model, or a system of record. Each of these enters through the same capability boundary.

Connect existing services through APIs

Expose business systems, pricing engines, risk services, identity services, document processors, payment systems, CRM or ERP functions, internal microservices, and third-party services through explicit API contracts and mappings.

Benefit: Reuse existing enterprise services without allowing every API boundary to become another place where application meaning is lost.

Engineering team connecting a governed capability

Build custom execution capabilities

Create specialized capabilities for deterministic calculations, algorithms, transformations, parsing and extraction, validation, optimization, classification, proprietary decision logic, and high-performance computation.

Use high-performance kernels where the workload needs them

Performance-sensitive application steps can use specialized deterministic kernels while still exposing typed inputs and outputs and participating in policy, versions, routing, and evidence.

Bring your own AI model provider

Bring your own models and providers

A governed application should be able to use specialized AI capabilities without making one model provider the application architecture.

A model or provider adapter can describe supported task, input and output contract, model or capability version, provider, deployment route, data eligibility, region, policy, quality profile, routing eligibility, and evidence requirements.

Benefit: Adopt new models and providers without redesigning the application around each provider's API.

Explore Model & Capability Routing

Keep provider-specific capabilities first-class

Provider portability should not require reducing every cloud or AI provider to the lowest common denominator. Cloud agnostic does not mean cloud generic.

Benefit: Take advantage of differentiated cloud and provider capabilities without making implementation details own the complete application.

Provider-specific capability with governed risk signals
Connector preserving source permissions

Preserve source permissions when data enters the application

Connectors bring external data and capabilities into the application while retaining tenant, source identity, source permissions, taxonomy, classification, schema, version, sync state, and provenance.

Benefit: Add enterprise sources while preserving the scope and provenance needed to use their information correctly.

Package reusable logic as subgraphs

Reusable subgraphs let teams define governed patterns once and include them inside larger Execution Graphs with explicit contracts, policy, versions, dependencies, and evidence requirements.

Extend policy with typed functions

Specialized policy functions can receive defined facts, return defined results, carry versions, execute under known authority, produce evidence, and participate in testing and enforcement.

Use the same deployment choices for custom capabilities

Extensions should participate in the workload-specific deployment model. Deployment rules can remain part of the application's capability and policy model.

Benefit: Place custom capabilities where they belong without creating a separate deployment architecture for extensions.

Explore Private & Hybrid AI

See extensibility in one business application

The core application may already provide the portal, operational records, Context Assembly, Execution Graph, policy, approval, and evidence. Engineering can extend that application where specialized capabilities are required.

[1]

Custom account-validation service

Invoke an existing enterprise service to validate account ownership or format.

[2]

Specialist risk capability

Run proprietary deterministic or machine-learning logic against the proposed account change.

[3]

External identity provider

Use existing enterprise or supplier identity infrastructure.

[4]

Document connector

Retrieve evidence from an existing repository.

[5]

Provider-specific AI service

Use an eligible cloud or private AI capability when policy allows.

[6]

Custom reviewer component

Present a specialized banking or risk review experience.

Explore Developer Extensibility

APIs And Custom Capabilities

Connect services, algorithms, and deterministic capabilities through governed contracts.

Explore Capability Contracts

Bring Your Own Models

Register private, hosted, provider-specific, and future model capabilities.

Explore Model Routing

Reusable Subgraphs

Package governed workflow and application patterns for reuse.

Explore Execution Graph