Phase 1 - Continuous finance foundation

Daily Actuals Engine

Maintain a continuously updated financial position so FP&A, close, controls, and CFO decisions do not wait for month-end.

Business problem: Finance cannot support continuous accounting or driver-based FP&A if actuals, accruals, cash, margin, and EBITDA are only trusted late in the cycle. 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/daily-actuals-engine/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

Daily actuals become governed, source-linked, freshness-scored, and available for forecast refresh, variance analysis, close readiness, and control validation.

Core components
ComponentCapability
Daily RevenueSource-linked revenue actuals from SAP, trading, production, and commercial systems.
Daily CostCost actuals, commitments, accruals, late-cost detection, and supplier spend signals.
Daily MarginMargin, mix, price, FX, volume, and operational driver attribution.
Daily CashCash, bank, treasury, payment timing, collections, and liquidity signals.
Finance Pulse UIToday's revenue, margin, cash, EBITDA, forecast drift, source freshness, confidence, and evidence.
Success metrics
MetricTarget
Actuals freshnessDaily target
Source confidence95% target
Forecast refresh latency<30 min target
Evidence coverage100% target
FP&A deck alignment
Target operating-model theme
Daily Actuals
UDP Alignment
SAP
Databricks
Finance Pulse
Agent family
AgentPurpose
Daily Actuals AgentBuilds source-linked finance position each day.
Actuals Freshness AgentScores source freshness, completeness, and confidence.
Forecast Refresh AgentTriggers forecast updates when daily actuals or drivers move beyond threshold.
Proof links
SurfaceRoute
CFO Command CenterOpen
FP&A Command CenterOpen
Data Trust ExplorerOpen
Runtime Command CenterOpen
API contract
Endpoint
/api/finance-foundations/daily-actuals-engine
/ui/cfo-command-center
/ui/fpa-command-center
Validation questions
Question
What is today's financial position?
Which sources are fresh or stale?
Which forecast changed because actuals moved?
Can daily actuals be traced back to source records?