Cross-platform identity
Determine whether records represent the same exposure, related states, causes, events or consequences.
One vendor-neutral operating layer across fragmented risk ecosystems.
ERMAIGE is designed to make the risk systems an organization already owns behave like one governed enterprise intelligence network. The target architecture preserves authority, reconciles meaning, reconstructs exposure, clears constrained resources and preserves evidence for consequential decisions.
01 WholeRisk Fabric
Reconcile the meaning across systems without flattening their differences.
WholeRisk Fabric is designed to treat competing GRC, ERM, audit, resilience, cyber, Treasury and specialist systems as peers. Canonical mapping and field-authority controls remain in design; semantic topology has a component proof of concept.
Illustrative system view
Field-level authority
Preserve which system is authoritative for each attribute, method and point in time.
Contradiction management
Detect incompatible ratings, owners, methodologies, versions and status.
Conflict-aware writeback
Propose or perform updates only when authority, version state and approval permit.
Governed outcomeReconcile the meaning across systems without flattening their differences.
02 Risk Capacity OS
From reported balance to decision-effective capacity.
A balance is not automatically available for a particular decision. The Risk Capacity OS resource model and CapacityClear algorithm are at architecture and design stage; RARE optimization is staged after deterministic feasibility.
Illustrative resource state
From reported balance to decision-effective capacity
Illustrative calculation only. Not a customer result.
CapacityClear115 claimed / 100 available
Three individually plausible plans cannot all use the same capacity.
Conflict detected: 15 units are overcommitted. Clear competing claims before comparing the response.
Execution gate
Compare only actions the enterprise can actually execute.
Retain liquidity✓Feasible
Preserves survival horizonVerified
Reserve collateral◐Conditional
Requires Treasurer approvalConditional
Transfer resource✕Infeasible
Legal-entity constraintBlocked
Risk-Adjusted Resource Efficiency compares only actions that remain feasible after CapacityClear.
03 Decision Assurance
Govern the complete decision transaction, not only the approval click.
Decision Assurance is designed to prepare, reserve, revalidate, commit, roll back or compensate consequential actions. The transaction protocol, assurance gate and Decision Passport are at architecture or design stage.
Illustrative system view
Decision transaction
Bind the action to evidence, models, assumptions, resources, policy, authority and time.
Decision Assurance Gate
Check freshness, evidence sufficiency, model status, available capacity, policy and accountable authority.
Decision Passport
Preserve trigger, source state, alternatives, challenge, approval, execution and outcome for independent reconstruction.
Outcome learning
Create a new version from observed outcomes without rewriting what was known at the time.
Governed outcomeGovern the complete decision transaction, not only the approval click.
Two technology planes
AI supports analysis; governed state and evidence support trust.
The intelligence and decision plane connects sources, semantics, topology, approved calculations, scenarios and capacity logic. The trust and programmability plane is designed to preserve identity, state, policy, approvals, authorization and receipts. Neither replaces source controls, model validation or accountable human judgment.
Source stateAuthoritative inputs
04Two technology planes
Evidence stateGoverned outcome
Four enterprise estates
The risk record is one part of the enterprise picture.
The target architecture connects the risk-governance, exposure-generating, resource and decision-authority estates while keeping their systems of record authoritative.
Source stateAuthoritative inputs
05Four enterprise estates
Evidence stateGoverned outcome
Operating principles
Centralize understanding, not necessarily all data.
Target deployment patterns include federated access, selected materialization and metadata-only approaches chosen with each institution. Deterministic baselines precede advanced models, cadence follows source reality, writeback is conflict-aware and accountable humans remain responsible for material decisions.
Source stateAuthoritative inputs
06Operating principles
Evidence stateGoverned outcome