Phase 1 - Immediate integration foundation

BlackLine Intelligence Fabric

Treat BlackLine as a first-class runtime participant for journals, reconciliations, matching, intercompany, controls, and close readiness.

Business problem: BlackLine is becoming strategic across Journal Risk Analyser UAT, ACB Auto Journal, AJD, reconciliations, matching, and intercompany; Sphere must govern and explain work across SAP, BlackLine, evidence, policies, and replay. 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/blackline-intelligence-fabric/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.
North Star runtime outcome

BlackLine becomes part of the continuous finance runtime rather than a downstream close tool.

Core components
ComponentCapability
Journal IntelligenceDetects unusual journals, duplicates, policy violations, SoD issues, materiality breaches, and unsupported postings.
Reconciliation IntelligenceDetects breaks, aging, root cause, ownership, and evidence gaps.
Matching IntelligenceExplains why items matched, why they failed, and what evidence or action closes the break.
ACB Auto Journal / AJD ServiceGenerates recommended journals with evidence, controls, approval routing, SAP/BlackLine status, and replay while positioning relative to the ACB Auto Journal and AJD roadmap.
Journal Studio UIShows suggested journal, evidence, policy, impact, approval, and replay.
Success metrics
MetricTarget
Journal risk coverage100% target
Recon break explanation95% target
Auto journal evidence100% target
BlackLine freshness<15 min target
FP&A deck alignment
Target operating-model theme
BlackLine
Journal Risk Analyser
ACB Auto Journal
AJD
Auto Journals
Reconciliations
Matching
Agent family
AgentPurpose
Journal Intelligence AgentScores journal risk and validates policy/evidence before approval.
Reconciliation AgentFinds open items, breaks, aging, root causes, and owners.
Matching AgentExplains match confidence and unmatched drivers.
Auto Journal AgentDrafts journals under policy and routes for approval.
Proof links
SurfaceRoute
Continuous Close IntelligenceOpen
R2R MissionOpen
Replay CenterOpen
Evidence RuntimeOpen
API contract
Endpoint
/api/finance-foundations/blackline-intelligence-fabric
/ui/continuous-close-intelligence
/ui/mission/r2r
Validation questions
Question
How does this work with BlackLine rather than replacing it?
Can you explain journal risk?
Which reconciliations are blocking close?
Can the journal or recon decision be replayed?