Explain this case
Follow the decisions and evidence that support the reported outcome.
Follow why a case took its recorded path, compare it with other executions and test a proposed change against retained evidence inside an explicit simulation boundary.
Connect what the published application permitted to what one execution actually did. Compare runs, reconstruct the historical record and test a proposed change inside an explicit replay boundary.
Inspect the decisions, attempts and reported results of actions governed through Frozion.
Compare the defined workflow with the recorded path and its exceptions.
Review native-agent participation alongside the rules, tools and evidence it used.
Use application execution records and simulation to evaluate the next change.
When an outcome is questioned, teams need to connect the result to the proposal, facts, rule and approval—and understand how a change would affect recorded work.
Follow the decisions and evidence that support the reported outcome.
Locate the boundary where executions diverged and inspect its inputs.
Keep simulations separate from current authority and side effects.
A published graph defines permitted behavior. A realized execution records the path one case took.
Connect each runtime boundary to its graph node, version, context, decision, authority and evidence. Follow the business relationships across traces, APIs, model calls and human tasks.
Explore Visual OrchestrationAn Evidence Correlation Spine joins the Published Graph and Execution Instance to context, proposal, decisions, approval, Business Operation Identity and effect. Trace IDs, request IDs and attempt IDs retain their distinct roles.
See earlier proposals, added evidence, policy requirements and human conditions alongside the decisions that superseded them. An approval for r5 remains part of the history when r6 requires new review.
Causal bindings describe application-visible relationships. “This policy required this review” or “this receipt confirmed this operation” connects evidence to behavior. These records do not expose a model’s private chain-of-thought or establish that every input caused its output.
Compare the boundary where executions diverged, then inspect the supporting record.
Segment by application version, policy, route, capability, reviewer, tenant or outcome where evidence and permissions allow. Keep missing evidence visible in the analysis.
| Execution | Recorded outcome | Relevant boundary | What the evidence supports | Inspect |
|---|---|---|---|---|
| EX-1042-AAP-Review v7 | Payment confirmed | External effect | One approved proposal, one attempt, a confirmed ERP receipt. | |
| EX-1042-BAP-Review v7 | Effect unresolved | Attempt timed out | No terminal receipt yet; reconciliation is required before a retry decision. | |
| EX-1042-CAP-Review v7 | Blocked before invocation | Proposal revalidation | Approval covers r5; the requested r6 proposal does not match. |
Compare three alternative outcomes for the same invoice.
Compare policy obligations, evidence gaps, review assignments and capability-sufficiency failures.
Distinguish invocation failure, unknown effects, confirmed effects and separate compensating operations.
Compare paths, routing, validation, abstention and review burden with the relevant context and scope.
Historical inspection, simulation and a new live action have different permissions and effect boundaries.
Choose the mode explicitly. Keep historical authority in the record, and re-establish current controls before any present-day effect.
Inspect preserved evidence and the realized path.
External effects: none.Resolve the historical graph, state, context, decisions, waits and attempts.
Effects represented from evidence; never repeated by reconstruction.Evaluate historical inputs under an alternate policy, route, model or graph.
Effects suppressed, stubbed, sandboxed or simulated.Re-establish current identity, policy, state, proposal, approval and operation identity.
A live effect is possible only through the required safety gates.AP-Review v7 · AP policy v4 · one bound approval · source age 2 minutes against a 5-minute limit.
No production credentials, endpoints, queues or payment calls. Recorded model output is retained; no model is rerun.
Compare proposed policy rules against retained inputs. External actions are disabled.
Apply a declared policy change to the historical inputs.
A comparison will identify the historical baseline, declared change, fidelity and resulting path.
It creates no approval task, retrieves no current data and performs no real replay. In an application, the Replay Plan and safety controls determine which evidence and capabilities may participate.
Batch simulation can evaluate a declared workflow, policy, route or model change against a set of recorded cases. Compare changed decisions and paths with the historical baseline, preserving evidence availability and replay fidelity.
A simulation does not approve a case or authorize a live tool call. Controlled re-execution remains a separate mode with current authority, policy and effect checks.
Historical reconstruction should use the application semantics that governed the case.
A Historical Execution Capsule can retain snapshots, protected references, digests, resolved dependencies, state, decisions and receipts. Replay Fidelity identifies what is preserved, reconstructed, substituted, simulated or unavailable.
Resolve the recorded graph, policy, routing, prompts, mappings, indexes and feature definitions. Do not silently substitute current configuration.
Use the Context Assembly Record, Model Input Manifest and consumed feature snapshot. A fresh query against today’s data is a different input.
A provider or model version may be unavailable, and rerunning a model may produce different tokens. Recorded-output reconstruction and a new invocation have different fidelity.
See which evidence is present, pending, available only as a protected reference, or missing. A reference alone may not contain the information required for a replay.
The Replay Boundary isolates production credentials, live endpoints, queues and consequential tools. Side-effecting nodes can be denied, stubbed, substituted, sandboxed or simulated according to the declared plan.
Controlled re-execution requires a Replay Safety Gate for current authority, policy, resource state, exact proposal, approval and effect eligibility.
Operations, Engineering, Security, Risk, Audit and business owners can inspect the same execution through role- and purpose-appropriate views.
Selective snapshots, protected references, redaction and retention preserve useful evidence without granting universal access to the underlying data.
Logs, metrics, distributed traces, SIEM, data lineage and model telemetry remain useful. Frozion connects their records to the proposal, context, authority, decisions, approval, operation and effect. The Data Plane preserves or references evidence; Behavior Intelligence provides the investigation and comparison experience.
Make the difference between recorded history, a proposed change and a current action explicit.
Bring a workflow, its evidence and one proposed change.
We’ll map what can be inspected, compared and reconstructed.