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insurance.board.risk.consensus.v1

Overview

Verify that the Forge runtime executes the canonical Insurance Risk Board Consensus Primitive Profile using the production Ensemble execution kernel.

After completing this example you should be able to:

  • execute the canonical Ensemble profile
  • inspect the consensus process
  • verify runtime evidence
  • inspect generated artifacts
  • validate deterministic replay

This document verifies Ensemble execution.

It does not validate underwriting strategy, solvency policy, or insurance governance decisions.


Primitive Profile

PropertyValue
Primitiveensemble@1
Profileinsurance.board.risk.consensus.v1
RuntimeCompute
ReplaySupported
ArtifactsSupported
DeterministicSupported
CPUSupported
GPUNot Required

Capability

insurance.board.risk.consensus.v1 executes a deterministic consensus process across multiple insurance risk evaluation perspectives.

Rather than producing a recommendation from a single analytical path, the Ensemble kernel evaluates multiple independent participants according to the registered Primitive Profile before producing a consolidated decision.

Typical evaluation dimensions may include capital adequacy, underwriting exposure, catastrophe accumulation, counterparty concentration, liquidity resilience, and operational considerations.

The objective is not to automate governance.

The objective is to produce a reproducible, inspectable, and replayable consensus computation.


Canonical Contract

Execution uses the canonical Forge Ensemble execution contract.

text
Primitive
ensemble

Version
1

Profile
insurance.board.risk.consensus.v1

Requests are validated before entering the execution runtime.

The canonical payload contains:

text
op.name
op.version
op.profile
args

Optional execution metadata may include:

text
ctx
seed
policy

Required Inputs

The canonical execution contract requires a valid risk review request together with profile-specific execution parameters.

Typical required execution surfaces include:

  • review context
  • participant configuration
  • evaluation objective
  • consensus strategy

Execution begins only after successful canonical validation.


Optional Inputs

Depending on execution policy, optional inputs may include:

  • participant weighting
  • confidence thresholds
  • supporting evidence
  • disagreement handling policy
  • replay configuration
  • execution metadata

Only profile-supported fields should be supplied.

Unsupported fields are rejected during validation.


Canonical Smoke

The maintained Ensemble smoke verifies:

  • successful profile resolution
  • canonical validation
  • participant initialization
  • deterministic consensus execution
  • runtime evidence generation
  • replay metadata generation
  • artifact availability

The maintained Smoke Suite remains the canonical executable source.


Verification Expectations

A successful execution should demonstrate:

  • canonical validation succeeds
  • participant execution succeeds
  • deterministic consensus completes
  • review outcome is generated
  • agreement metrics are available
  • runtime evidence is produced
  • replay metadata is available
  • execution artifacts are generated

Verification includes inspection of both the consensus result and the execution process that produced it.


Runtime Evidence

Successful execution exposes runtime evidence including:

  • execution identifier
  • primitive profile
  • execution metadata
  • participant count
  • consensus summary
  • agreement metrics
  • disagreement metrics
  • confidence values
  • replay metadata
  • artifact references

The exact evidence surface depends on execution policy.


Replay

Replay should reproduce identical consensus behaviour when executed using the same execution contract, participant configuration, runtime version, and deterministic seed where applicable.

Replay validates the determinism of the Ensemble kernel rather than infrastructure identity.

Replay verification is described in:

/verification/replay-determinism


Artifacts

Typical execution artifacts include:

  • consensus report
  • participant summaries
  • agreement analysis
  • disagreement analysis
  • confidence summary
  • execution summary
  • replay metadata

Artifacts explain how the final consensus was produced.


Applied Intelligence Modules

This Primitive Profile is reused across multiple Forge Intelligence Modules including:

  • Insurance Intelligence
  • Reinsurance Intelligence
  • Solvency Intelligence
  • Capital Intelligence
  • Enterprise Risk Intelligence

The execution primitive remains identical while the Primitive Profile defines insurance-specific consensus semantics.


Related Documentation


Verification Checklist

Verification SurfaceStatus
Primitive resolved
Contract validated
Participants initialized
Consensus completed
Runtime inspected
Artifacts inspected
Replay verified
Negative validation tested

Final Principle

insurance.board.risk.consensus.v1 verifies a versioned Ensemble Primitive Profile rather than an insurance decision.

Its correctness is demonstrated through deterministic consensus execution, observable agreement and disagreement metrics, runtime evidence, replay, and artifact inspection, allowing independent evaluators to reproduce the same consensus process using the canonical execution contract.


Continue in Forge Studio

This document describes the canonical execution contract for this capability.

The Forge documentation explains how this capability works.

Forge Studio allows you to inspect, execute, and verify the live implementation.

Capability Explorer

Browse the live capability catalog, supported execution surfaces, available Primitive Profiles, and execution metadata.

https://studio.forgepool.io/capability-explorer

Block Registry

Inspect the registered Primitive Profile, execution contract, block metadata, adapters, versions, and runtime characteristics.

https://studio.forgepool.io/studio/blocks-registry

Execute

Execute this capability using Forge Studio, the Execution API, or an MCP-compatible client.

Verify

Before interpreting the result, inspect:

  • runtime evidence
  • generated artifacts
  • deterministic replay
  • execution metadata

Trust should be established through independent verification rather than documentation alone.

Deterministic execution infrastructure for distributed compute.