Phase 1 - Finance data readiness foundation

Finance Data Readiness Runtime

Make Quantum HDS, Lighthouse Daily Actuals, UDP, Databricks, OneData, Foundry, and source-system freshness visible before agents rely on finance data.

Business problem: Continuous accounting and driver-based FP&A fail if data freshness, lineage, quality, source trust, mapping completeness, and migration state are not explicit. 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/finance-data-readiness-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.
North Star runtime outcome

Every finance decision carries source freshness, confidence, lineage, owner, mapping state, and readiness score before agents recommend or execute.

Core components
ComponentCapability
Finance Dataset RegistryRegisters datasets, business meaning, owner, freshness, quality, lineage, usage, and access policy.
Quantum HDS ReadinessTracks harmonized data structures, object mappings, migration wave, gaps, and downstream decisions affected.
Lighthouse Daily Actuals MonitorScores daily actuals completeness, timeliness, source confidence, and forecast readiness.
OneData / Foundry Semantic MappingMaps business definitions, hierarchy, relationships, and ontology dependencies.
Agent Data GuardrailBlocks or downgrades confidence when freshness, lineage, or mapping thresholds are not met.
Success metrics
MetricTarget
Dataset freshness visibility100% target
Lineage coverage100% target
Mapping completeness95% target
Agent freshness guardrails100% target
FP&A deck alignment
Target operating-model theme
Quantum HDS
Lighthouse Daily Actuals
UDP
Databricks
Data harmonisation
Daily Actuals
OneData
Foundry
Agent family
AgentPurpose
Data Readiness AgentScores dataset readiness for continuous finance decisions.
Lineage AgentTraces source system, transformation, version, timestamp, and owner.
Mapping Completeness AgentFinds missing HDS, OneData, Foundry, ECC/CFIN/S4, or PaPM mappings.
Freshness Guardrail AgentReduces confidence or blocks action when data is stale.
Proof links
SurfaceRoute
Data Access StrategyOpen
Data Trust ExplorerOpen
SAP CoexistenceOpen
Runtime Command CenterOpen
API contract
Endpoint
/api/finance-foundations/finance-data-readiness-runtime
/ui/data-access-consumption-strategy
/ui/data-trust-explorer
Validation questions
Question
Which data source did the agent use?
How fresh and trusted is it?
Which Quantum HDS mapping is incomplete?
Will stale data block autonomous action?