Benefit / An inspectable agentic estate

See how your AI applications work.
Before they act.

Scaling from a few agents to thousands multiplies the relationships your teams must understand.

Frozion makes workflows, policies, identity, mappings, APIs and data definitions visual and connected. Cut the engineering time spent explaining your agentic estate, lower the cost of change and accelerate delivery across the SDLC.

See the problemBring a workflow to inspect
One connected estate. Three ways to understand it.
FROZIONExecution FabricGoverned from request to outcome
  1. Before it runs

    What can this agent do, under which rule, with which data?

  2. While it runs

    What is happening, what is waiting and who owns the next step?

  3. After it runs

    Which rules, facts and recorded versions explain the outcome?

Visual definitions · Active work · Connected evidence
01 / The problem

Your AI system is becoming a black box.
Not because of the model.

An agent’s behavior is defined across orchestration code, policy engines, identity systems, API wrappers, SQL and feature jobs, and observability tools, spread over separate projects, modules and teams. No one can picture the system end to end anymore without digging through code in all of them. So every review, every change and every audit starts as an investigation.

Here’s where each piece lives today, and where it lives in Frozion.

Where definitions become scattered
Layer
When definitions are scattered
In Frozion
Workflow & orchestration
When definitions are scatteredFramework code across services
In FrozionVisual steps, branches, waits and human decisions
Policy & applicability
When definitions are scatteredPolicy files and checks embedded in services
In FrozionNested rules and the protected actions they govern
Identity & delegation
When definitions are scatteredIAM settings, gateway configuration and middleware
In FrozionDefined authority, scope and required assurance
Tool use & API clients
When definitions are scatteredSDK wrappers, configuration and prompt instructions
In FrozionConfigured operations with typed inputs and outputs
Field mappings
When definitions are scatteredTransformation code between services
In FrozionExplicit mappings between declared schemas
Queries & business facts
When definitions are scatteredSQL, notebooks and calculation jobs
In FrozionVisual queries and reusable fact definitions
Recorded execution
When definitions are scatteredLogs and traces separated from the definition
In FrozionDecisions and evidence connected to recorded versions
Supplier bank-account change · CASE-041

The same rule. Two ways to review it.

The same supplier-change logic, from the fact to the protected action.

With scattered definitions

Read across the implementation.

01 / Factfeatures/bank_changes_30d.sql
SELECT COUNT(*) AS bank_changes_30d
FROM supplier_account_changes
WHERE supplier_id = :supplier
  AND tenant_id = :tenant
  AND changed_at >= :window_start;
02 / Policypolicies/supplier_change.rego
requires_review if {
  input.bank_changes_30d >= 2
}
# Required: finance approval + FIDO2
03 / Continuationorchestrator.py
if decision.requires_review:
    await finance_approval_and_fido2()
recheck_fact_freshness()
revalidate_authority()
04 / Protected actionclients/supplier_api.py
if required_evidence_is_current():
    response = update_supplier_account()
    record_reported_outcome(response)
In Frozion

Follow a connected explanation.

  1. 01 / Fact2 changes in 30 days

    Supplier SUP-204 · Tenant A · fact definition v3

  2. 02 / Policy2 ≥ 2 → finance review + FIDO2

    Supplier change controls · v4 · both requirements remain outstanding

  3. 03 / ContinuationWait, then revalidate

    Before continuation, recheck fact freshness, authority and required evidence.

  4. 04 / Protected actionSupplier account update: held

    PATCH /suppliers/{id}/bank-account · no attempt made

Explore each layer of this case
02 / Why it compounds

From a few agents to thousands,
the problem compounds.

Shared tools, policies, data and APIs tie workflows together while models and business rules keep changing. Reconstructing those relationships consumes engineering time, raises the cost of change and slows delivery.

Review dimension
Conventional software
AI across a fragmented stack
AI on Frozion
What can change behavior?
Conventional softwareCode, configuration, data and service dependencies.
AI across a fragmented stackThe same factors, plus models, prompts and tool-selection behavior.
AI on FrozionVisible definitions and published versions show what changed.
How are runtime choices bounded?
Conventional softwareApplication logic and configured controls.
AI across a fragmented stackAgent choices bounded by controls spread across the stack.
AI on FrozionExplicit workflow paths, contracts and inline policy checks govern permitted actions.
Where does a reviewer start?
Conventional softwareCode, configuration and system documentation.
AI across a fragmented stackOrchestration, policy, IAM, data pipelines, API wrappers and prompts.
AI on FrozionConnected visual workflows, rules, data definitions and integrations.
What needs review after a change?
Conventional softwareRelease diffs, dependency information and tests.
AI across a fragmented stackModel and prompt changes add to the dependencies teams must trace.
AI on FrozionSee dependent workflows and compare published versions.
What explains an outcome?
Conventional softwareExecution records and the application logic.
AI across a fragmented stackTraces, selected tools, inputs and rules correlated across systems.
AI on FrozionThe case, matched rules, recorded facts and governing versions.
Where does review effort go?
Conventional softwareUnderstanding the change and verifying its effects.
AI across a fragmented stackReconstructing the relevant design before the review can begin.
AI on FrozionReview the connected design and evidence directly.

The drivers of change are the same. Frozion shows what changed and what depends on it.

Stop paying to reconstruct the system at every stage.

One connected design cuts repeated investigation across the software development lifecycle (SDLC).

  1. DesignFind reusable rules and components.
  2. BuildUnderstand contracts and mappings.
  3. ReviewExplain the change and its controls.
  4. ReleaseReview dependencies and test the effects.
  5. OperateFollow holds, failures and decisions.
  6. AuditConnect outcomes to rules and evidence.
The cost-of-change question

A cheaper model is released.
Should the summarization step use it?

With scattered definitions

Find the configuration, trace its output across services and assemble the changes for review.

In Frozion

Open the step. See its contract and connected consumers. Compare the published versions.

Connected dependencies

Where does the summary go?

Summarize change requestReviewSummary.v2
  • Finance review
  • Review packet
  • Case record
Published-version comparison

What changed in this workflow?

Version 12Model AOutput: ReviewSummary.v2Finance review + FIDO2
Version 13Model BOutput: ReviewSummary.v2Finance review + FIDO2

Model changed. Output contract and required controls unchanged.

Engineering timeSpend less time explaining the system and more time building it.

Delivery speedMove changes forward without depending on the original builder.

OversightReview the actual rules and evidence directly.

Explore change with confidence
03 / A different kind of visibility

Traces show the path taken.
Frozion shows the map.

Inspect the permitted paths, policies and approvals before execution. Follow each outcome back to the facts, evidence and version behind it.

A recorded run

What happened in this case?

RequestPolicy matchedReview pending
  • The steps this run took
  • Its inputs, decisions and events
  • Where it waited or failed
The governed definition

What paths does this process allow?

Policy conditions + input contractRequired reviewPermitted action
  • Every permitted branch and approval
  • The contracts and facts each decision uses
  • The version behind each case

Keep your observability stack. Inspect the execution design alongside it.

04 / The layers behind the decision

Every layer behind an agent’s actions.
Visual and connected.

Explore the agentic estate from the workflow to the rule, query and fact behind a decision. Follow the connections across layers in one place.

Supplier-change process
RequestPolicyReview
Protected updateHeld

Workflows

From service code to readable paths.

Steps, branches, waits and human decisions on one graph.

Explore Visual Orchestration
Supplier change controls · v4
Changes in 30 days ≥ 2
Finance reviewFIDO2

Policies

From policy files to readable rules.

Nested conditions, the facts they check and the obligations they create.

Explore Visual Policy Builder
Declared input mapping
bankChanges30d → changeCount
integerinteger

Mappings & contracts

From transformation code to explicit mappings.

Declared inputs and outputs, and exactly which field maps to which.

Explore schema contracts
Supplier account operation
PATCH /suppliers/{id}/bank-account
Typed requestExternal write

API clients

From request wrappers to typed operations.

The operation, its request and response contract, and whether it writes.

Explore API Client Builder
Account-change history
SupplierSUP-204
WindowLast 30 days

Queries & collections

From SQL fragments to visual queries.

Sources, filters and result shape, designed visually.

Explore Visual Query Builder
supplier.bank_changes_30d
2recorded changes
Definition v330-day window

Feature Store facts

From calculation jobs to reusable facts.

A business measure’s calculation, time window, freshness and version.

Explore the Feature Store
See what depends on it.

Open a policy, fact, query or API client to see the workflows that reference it.

05 / One question, connected answers

Ask why.
Follow the answer through the layers.

A supplier’s bank-account change is on hold. Follow the answer through six layers.

Supplier bank-account change · CASE-041

Supplier SUP-204 · Tenant A

Awaiting review
Workflow / CASE-041

Where is this case waiting?

The update is held until finance approval and FIDO2 assurance are recorded.

The active work

Current task
Finance review + FIDO2 assurance
State
Waiting for required evidence
Protected update
Held · no attempt made

With scattered definitions: Search orchestration logs and ask the team that owns the service.

Policy / CASE-041

Which rule put it here?

Two recent changes matched the rule. Matching it does not satisfy the required review or assurance.

The matched condition

Policy
Supplier change controls · v4
Condition
Bank changes in 30 days ≥ 2
Required review + assurance
Finance approval + FIDO2 before continuation

With scattered definitions: Find the policy file and determine which branch matched the input.

Fact / CASE-041

Where did “2 changes” come from?

A defined, versioned business measure with a freshness requirement.

The business measure

Fact
supplier.bank_changes_30d
Definition
v3 · rolling 30-day count · recheck freshness before continuation
Value at decision
2

With scattered definitions: Find the calculation pipeline and check which definition produced the value.

Query / CASE-041

What data is being counted?

The source and filters behind the count.

The source selection

Source
Supplier account-change history
Supplier + tenant filter
SUP-204 · Tenant A
Time filter
Recorded changes within the last 30 days

With scattered definitions: Locate the query and trace its source data and filters.

Mapping / CASE-041

How does the value reach the policy?

How the value becomes the policy’s typed input.

The declared contract

Source field
SupplierFacts.v3 → bankChanges30d · integer
Destination field
ChangeReviewInput.v2 → changeCount · integer
Mapped value
2 · valid for the declared type

With scattered definitions: Read the transformation code between services.

API client / CASE-041

What action is being held?

The protected write and the checks before dispatch.

The permitted operation

Operation
PATCH /suppliers/{supplierId}/bank-account
Effect
External write to the supplier record
Before dispatch
Revalidate authority and required conditions

With scattered definitions: Read integration code alongside the API documentation.

Six layers, one connected explanation. Follow the decision and the version that applied at each step.
06 / Built for the people accountable

Different responsibilities.
A shared view of the work.

Engineering, security and business reviewers ask different questions of the same agentic estate. Frozion gives each a direct view of the definitions and evidence.

CIO

“Why does every change need the people who built it—and what does this one touch?”

What you can inspect

  • Agent workflows, shared rules, data, integrations and their versions
  • Dependencies affected by a proposed change
  • Published versions compared side by side

Less engineering time spent explaining. Lower cost of change. Faster delivery across the SDLC. Less key-person risk.

CISO

“What can this agent do, under which rule, and can I verify it before it runs?”

What you can inspect

  • Configured paths, tools and protected API operations
  • Policy conditions, authority and required review or assurance
  • Recorded decisions, facts and evidence tied to the governed work

Review the controls and their enforcement directly.

Solution architect

“Where are the hidden dependencies across our agentic estate?”

What you can inspect

  • Declared input/output contracts and explicit field mappings
  • Policy conditions and the queries and facts that inform them
  • Workflows that depend on a shared policy, fact, query or API client

Catch contract mismatches during review. Understand unfamiliar workflows faster.

Risk & compliance

“Which rule applied, and what evidence satisfied it?”

What you can inspect

  • Readable conditions, business facts and thresholds
  • Whether required review or assurance is pending or recorded
  • Decision records, source lineage and reported outcomes

Review rules and evidence without waiting for an engineering walkthrough.

07 / Self-check

Can your team answer these
without a ticket?

Try them on one agent workflow you run today.

Tick any question that needs a ticket or code walkthrough.

If any answer takes a ticket, a code walkthrough or more than a day, bring that workflow. We’ll map it in Frozion and work through all five questions together.

Bring a workflow to inspect
08 / Scope and questions

Know what you can inspect.
Keep the boundaries clear.

Inspectability applies to the definitions and execution evidence available through Frozion. Each viewer receives the access permitted for their role and resources.

Within Frozion

The governed application

  • Workflows, rules, mappings, contracts, queries and facts defined in the platform
  • Connected agents and resources for the paths Frozion governs
  • Active work and recorded decisions, lineage and provenance within the viewer’s scope
Alongside your existing controls

A clear boundary

  • External systems and custom code retain their own implementation details
  • Visual inspection does not expose a model’s internal reasoning
  • Inspection does not replace testing, observability or independent assurance

The agents, workflows, policies, tools, API integrations and data definitions your organization uses, and the relationships between them. Frozion makes the parts governed through it visual and connected.

They complement each other. Execution traces show what a run did; inspectability shows its permitted paths before it starts and links outcomes back to the design.

A readable, connected design removes repeated reconstruction across the software development lifecycle (SDLC). Spend less engineering time tracing dependencies and explaining code, lower the cost of change and move delivery forward.

Yes. Workflows, policies, mappings, queries and API clients defined in Frozion are visual. Custom code and external services are visible at their contract boundaries.

No. An existing agent calls a Frozion workflow as a tool and keeps its framework. The workflow’s paths, controls and execution become inspectable.

No. It covers agents, workflows and resources governed through Frozion; activity outside those paths is not automatically visible.
Explore Behavior Intelligence & ReplayExplore Identity & Security
Start with one workflow

Bring the workflow
your team struggles to explain.

Choose a consequential process and the person who has to sign off on it. We’ll map it in Frozion and walk through every layer together. Start with one workflow; scale to the estate.

Bring a workflow to inspectPlan your first application