Phase 1 - LIBRA alignment

Intercompany Resolution Runtime

Support Project LIBRA by governing create, balance, resolve, net, and settle across intercompany lifecycle.

Business problem: Intercompany resolution remains effort-heavy because mismatches span timing, FX, missing entries, mapping errors, ownership, settlement, and evidence across multiple systems. Open JSON contract Back to foundations
Runtime Hardening Proof

Execution evidence from Enterprise Decision Runtime service

This panel is generated from runtime service functions on each request: event correlation, policy simulation, learning metrics, agent guardrails, decision trace, and audit package export. It closes the view-vs-system gap by showing the platform executing, not only describing architecture.

7registered agents
5registered policies
1correlated signal(s) from 3 events
$450.0Kpolicy simulation amount
100.0%human acceptance over 2785610 decided executions (90d)
5825088decision memory records
BLOCKbad-data guardrail result
route_to_human_supervisoragent failure fallback
Live event correlation
SignalPriorityImpactEvent IDs
sig-2efe089ec8P1$1.4Mevt-001, evt-002, evt-003
Policy + guardrail hardening
ControlRuntime value
Policyhuman-approval-policy
Prior threshold$50.0K
Simulated threshold$100.0K
Outcomeescalate
Approval volume change-18%
Guardrail failuresmissing_evidence, low_source_confidence, writeback_requires_human_approval
Hallucination guardevidence_required_before_recommendation
Replay + audit export
ArtifactValue
Audit packageaudit-97ab17991395
Integrity hashc80fd1aea51cec3d76a8d2e6346938acd1938531f544f8f3f7fd3917f1d6c98c
Regulatory export readyTrue
Trace steps10
Runtime chainSignal -> Context -> Ontology -> Policy -> Evidence -> Decision -> Governance -> Action -> Replay -> Learning
Runtime APIs
Endpoint
/api/finance-foundations/runtime-proof
/api/finance-foundations/intercompany-resolution-runtime/runtime-proof
/api/iaf/enterprise-decision-runtime/learning-metrics
/api/iaf/enterprise-decision-runtime/agent-guardrails
/api/iaf/enterprise-decision-runtime/policy-simulation
/api/iaf/enterprise-decision-runtime/event-correlation
Hardening stance: agents fail closed to human supervision on missing evidence, low source confidence, or write-back attempts. Learning is measured, replay-backed, and cannot change policy or autonomy without approval.
Open Enterprise Decision Runtime Open runtime proof JSON
North Star runtime outcome

Intercompany mismatches become event-driven, evidence-backed, policy-bound, and resolved with clear ownership and replay.

Core components
ComponentCapability
IC Event ModelCreate, balance, resolve, net, settle, dispute, FX revaluation, and elimination events.
IC Match ServiceFinds counterparty, amount, timing, currency, and reference matches across entities.
Root Cause ServiceExplains timing, FX, missing entry, mapping error, and ownership causes.
Settlement Recommendation ServiceRecommends offset, settlement, adjustment, write-off, or escalation.
IC Resolution WorkspaceShows mismatch, evidence, recommendation, approval, BlackLine/SAP state, and replay.
Success metrics
MetricTarget
Mismatch resolution60% automation target
Root cause coverage95% target
Settlement recommendation latency<10s target
Replay coverage100% target
FP&A deck alignment
Target operating-model theme
Project LIBRA
Intercompany
Create
Balance and resolve
Net and settle
Agent family
AgentPurpose
Intercompany Match AgentFinds paired transactions and confidence.
Root Cause AgentExplains mismatch cause and owner.
Settlement AgentRecommends netting, settlement, adjustment, or escalation.
Proof links
SurfaceRoute
R2R MissionOpen
Continuous Close IntelligenceOpen
Replay CenterOpen
Evidence RuntimeOpen
API contract
Endpoint
/api/finance-foundations/intercompany-resolution-runtime
/ui/mission/r2r
/ui/continuous-close-intelligence
Validation questions
Question
How does this align to Project LIBRA?
Which side owns the mismatch?
Is this timing, FX, missing entry, or mapping?
What settlement or adjustment is recommended?