Freeze
The cheaper model sits unused. The better one stays in evaluation. Every change waits for a release window, and the agents fall behind on cost and capability.
Benefit / Change safely
Change your AI
as fast as AI changes.
New models. New prices. New rules from the business and regulators. Teams face a choice: hold back their agents or ship changes they haven’t tested against real work. Frozion lets you test a change on your own recorded cases, publish it as a version, and keep work already in flight on its original version.
Adopt the cheaper model. Lower the threshold. Change the API. See the effect on your recorded cases before it reaches production.
FROZIONExecution FabricGoverned from request to outcome
- Test on real cases
What would this change have done to last month’s work?
- Publish a version
New work starts on it. Past decisions keep their original version.
- Protect work in flight
Running and waiting cases keep the version they started with.
Simulate · publish · protect
01 / The problem
Freeze or ship blind.
Neither keeps AI moving safely.
A release checklist built around code changes is not enough when model behavior, prices, prompts and business rules keep moving. Unit tests alone don’t show how a new model or lower threshold would change the paths through last month’s real work.
Ship blind
The change goes out after a few test prompts. Its effect on routing, review load or business outcomes appears later—in production, through complaints or an audit.
02 / How it works
Simulate it. Publish it.
Protect what’s already running.
Test the proposed change, choose the version for new work, and preserve the behavior of active cases.
Test on real cases
Run a proposed policy, model, route or workflow against your recorded cases. See which cases would take a different path, how review load would shift, and where outputs change.
External writes are suppressed or simulated. Replay does not authorize repeating a protected write.
Explore Behavior Intelligence & ReplayPublish a version
Publish the change as a new version. New work starts on it, and every past decision stays tied to the version that made it.
A later change does not rewrite history.
Explore versioned executionProtect work in flight
Running and waiting cases retain their original version. Moving them to a new version is an explicit migration, never a side effect of deployment.
Authority and approval validity are rechecked before the next protected action. Deployment does not make an expired approval valid.
Explore durable executionNeed to see what a change touches first?
Inspect dependencies and compare versions03 / One change, start to finish
Lower the threshold.
See the effect before it ships.
Finance wants extra review on invoices over $25,000 instead of $50,000. Follow that change from proposal to production.
Invoice policy · $50,000 → $25,000
Sample case setOne proposed threshold. Four stages of a governed change.
Policy v5 · candidate
See what the new rule would have done.
Run the proposed threshold against recorded invoices. No payment or production record is touched.
38 of 412
invoices take the additional-review path under the proposed rule.
Sample case setCounterfactual result
- Proposed rule
- Invoice review · v5 candidate
Amount greater than $25,000 - Case set
- 412 recorded invoices · last 90 days
- Result
- 38 invoices would need additional review
- External effects
- Suppressed
Policy owner review
Finance sees the impact. Then v5 goes live.
The Finance policy owner reviews the simulated review load and approves publication. New invoices start on v5.
Publication record
- Approved by
- Finance policy owner
- New work
- Starts on v5
- Previous version
- v4 · retained
- Historical decisions
- Remain tied to their original version
INV-2210 · waiting
A waiting invoice keeps its version.
INV-2210 is waiting for a manager’s sign-off under v4. Publishing v5 leaves it on v4; a migration must be explicit.
Active case
- Case
- INV-2210 · $30,000
- Running on
- Invoice review · v4
- Migration
- Explicit only
- Before payment
- Authority and approval validity rechecked
September decision
Last month’s decision still makes sense.
A $30,000 invoice approved in September stays tied to v4. A later change does not rewrite history.
Historical record
- Decision version
- Invoice review · v4
- Recorded input
- $30,000 at decision time
- Recorded result
- No additional review required by this threshold rule
- Explanation
- Preserved with the rule and inputs used then
One change: tested on recorded work, approved by the business, and live for new invoices. Work already in progress keeps its version and the checks required before its next action.
04 / What it unlocks
Make improvement routine.
Keep the release under control.
Model upgrades and business changes move through a repeatable process: test the effect, review it and publish the version.
Adopt better models sooner
Test a cheaper or stronger model against your own cases. Change the steps where it improves results and keep the rest of the process intact.
Respond to new rules faster
Update a threshold, region or approval step in the visual definition. Simulate the change, secure approval and publish a version without a separate application code release.
Put business owners in the loop
Finance, risk and operations owners see the proposed effect in their own terms. Require their approval before the version goes live.
“Why does every model upgrade turn into a major release?”
Test it on recorded cases and publish a version, without rebuilding the surrounding process.
“Who reviews a change before it reaches production?”
Require policy-owner approval to publish, with simulation results available for review.
“What happens to cases mid-flight when we deploy?”
They keep their original version unless explicitly migrated. Authority and approvals are rechecked before protected actions.
05 / Scope and questions
Know what the comparison shows.
Keep its boundaries visible.
A simulation gives your team evidence to review the change before publishing it.
Compare the change
Paths, review load and outputs
See how recorded cases behave under the proposed change, using retained inputs. Missing or substituted inputs remain visible in the comparison.
Protect production
External writes stay disabled
Payments, record changes and messages are suppressed or simulated. A simulation never repeats the production action.
Show the difference
Model responses can vary
The original run and a new model invocation can produce different outputs. Frozion shows those differences alongside the changed configuration.
Keep the boundary clear
Work run through Frozion
Simulation and versioned execution cover the work managed through Frozion. Application and integration tests remain part of your release process.
No. It adds a test against your recorded work: which paths, outputs and review requirements change under the proposed version. Keep your application and integration tests.
Not always. Model responses vary, and older model versions may be retired. Frozion distinguishes recorded inputs and outputs from a new invocation, and shows what changed or could not be reconstructed.
They continue on the version they started with. Moving them is an explicit migration. Authority and approval validity are rechecked before their next protected action.
Yes. Republish the previous version so new work starts on it again. Existing executions keep their version unless explicitly migrated, and decisions made under the reverted version remain tied to it.
Open the relevant policy, fact, query or API client to inspect dependent workflows and compare published versions within your access scope. Explore Scale AI with Oversight
Start with one change
Bring the change
you’ve been putting off.
A cheaper model, a new threshold, a changed API. We’ll simulate it against your recorded cases and show you the effect before it ships.