Foundation Control Intelligence

Autonomous Control Intelligence

Transform finance controls from detective and sampled testing into continuously operating preventive intelligence services.

Core decision question
Should this transaction be allowed to proceed?

Every signal, context package, evidence pack, policy result, recommendation, human approval, action, replay, and learning artifact should serve this question.

North Star KPIs
Control effectivenessControl automationFraud reductionAudit effort reductionIssue prevention rate
Agent workforce
Control Intelligence AgentPolicy Intelligence AgentAuthority Intelligence AgentEvidence Intelligence AgentFraud Intelligence AgentAudit Intelligence Agent
Enterprise integrations
SAP S/4HANABlackLineAribaMaximoIdentity systemsApproval systemsDocument repositoriesPolicy repositoriesFuture UDP enterprise graph
Monitored domains
Invoice ControlsJournal ControlsApproval ControlsVendor ControlsPayment ControlsAccess ControlsTrading ControlsTreasury ControlsTax ControlsCompliance Controls
Reference signal ticker

Signal visibility must be more than the word signal. Each mission shows reference signal counts, severity, scenario REF-TICK ID, and current blocked/recommended state. These are scenario proof shapes until connected to live traversal.

Reference signal generated from the scenario library; REF-TICK IDs show the expected production trace shape and are not attested live events.

9191 reference control signals / scenario
1212 preventive blocks
ScenarioScenario event REF-TICK-30577 at 14:23
33 override requests
Reference signals and recommended responses
SignalSourceImpactRecommended response
Duplicate invoice enters systemSAP + Ariba$482K payment risk blockedBlock and notify controller
Journal above authority thresholdSAP S/4SOX evidence requiredEscalate for controller approval
Supplier bank change before paymentSupplier masterFraud risk elevatedHold payment and verify bank details
Demo sequence
  1. Duplicate invoice enters system
  2. Agent detects duplicate
  3. Policy evaluated
  4. Evidence retrieved
  5. Payment blocked
  6. Controller notified
  7. Replay generated
Source-system traceability for major numbers

Every major value is tied to a source system, API object, data product, or source transaction. This answers where the number came from before BP asks.

Context pack: business unit: Group Finance · cost center: CC-1042 · entity code: BP-GROUP · owner: mission runtime.

Number / metricSource system or data productRecord / API objectBusiness context
$482K duplicate blockSAP S/4HANA + Ariba invoiceinvoice=INV-LIVE-DUP-1778594510Control: P2P duplicate payment
Authority breachIdentity system + approval matrixapprover=AAD-CTRL-447Policy: FIN-DOA-2026-07
SoD violationSAP workflow + IAM logsuser=AAD-REQ-118Control: SOX-SOD-014
Evidence, policy, replay, learning, and action artifacts
Decision memory
Runtime artifactIdentifierCredibility proof
Evidence packEP-CTL-30577data-evidence="pack" · source records and supporting documents
Policy IDFIN-DOA-2026-07Policy runtime gate evaluated before recommendation
Replay IDREPLAY-CTL-30577Replay available from signal through human judgment and action
Learningpatterns learned: 5Decision memory updates after accepted/rejected outcome
Action payloadBlock payment / escalate approverNext action: governed execution after approval limit $500K and human override check
Alternative actions table

Alternative actions table. This is the concrete recommendation surface: bp Sphere shows what it recommends, what it rejected, the expected value, the risk, and the action path.

Alternative actionConfidenceExpected value / impactRisk / tradeoffAction path
Allow transaction18%No process delay$482K duplicate/fraud exposureDenied by control gate
Block transaction96%$482K preventedSupplier validation requiredPayment hold
Escalate authority89%Policy-compliant release pathSupervisor queue loadAlternate approver identified
Request evidence83%Audit-ready supportCycle time +4hEvidence pack request
Workshop challenge proof
ChallengeVisible answer
Authority controlFIN-DOA-2026-07 checks approval threshold and identifies alternate approver when authority is exceeded.
Segregation controlSOX-SOD-014 checks creator/approver separation before release.
Duplicate controlP2P duplicate payment control blocks invoice INV-LIVE-DUP-1778594510 before payment release.
Runtime injection console

Use these controls during the workshop to show the mission changing state. Injection creates a named runtime event, updates mission KPI/readiness, adds a replay row, and opens the trace from signal to learning.

Mission KPI
Control effectiveness

Awaiting scenario injection.

Mission readiness
Baseline

No injected blockers or opportunities yet.

Latest replay event
None

Click an injection below to create a replayable runtime event.

TimeEventScenarioDecision impact
--:--:--WaitingNo scenario injectedNo mission state change
Decision portfolio
DecisionImpactOwnerStatus
Block duplicate invoice$482K preventedP2P SupervisorPrevented
Hold supplier bank update$2.1M payment run protectedControls LeadHuman-controlled
Escalate material journal$5.2M close riskControllerEvidence required
Vertical operating-model audit

This validates that the mission is useful from frontline work through enterprise steering: Agent Runtime → Analyst → Supervisor → Function Leader/Controller → FB&T Leader → CFO.

Role layerWhat this layer can doExecutive credibility proof
Agent RuntimeControl, policy, authority, evidence, fraud, and audit agents evaluate transactions before release.Preventive-control trace with source transaction, policy, evidence, action, and replay.
AnalystSee control failure, understand cause, and resolve or escalate.Can explain what failed and what action is allowed.
SupervisorSee recurring failures, analyst workload, and risk trends.Can manage teams and unresolved control work.
Function Leader / Control ManagerReview effectiveness, control trends, failing controls, and remediation actions.Can see which controls are weakening and why.
FB&T LeaderUnderstand finance control health, audit exposure, and mission-level control posture.Can identify where intervention is needed across finance operations.
CFOUnderstand enterprise control posture and regulatory exposure.Can see issues prevented, fraud exposure avoided, and audit-readiness impact.
Executive credibility scenarios

These are the scenarios BP can challenge live. The mission must show signal, context, evidence, policy, decision, action, replay, learning, and enterprise impact for each.

ScenarioInjectExpected runtime proofAction
Duplicate invoiceKnown duplicate enters systemSignal, evidence, policy, block recommendation, audit trail, and replay are visible.
Authority violationApprover exceeds authorityControl triggers, escalation generated, and alternative approver identified.
Segregation violationCreator and approver same userControl block, policy reference, and evidence lineage are generated.
12+ dimension BP credibility audit
DimensionVisible proof requirementThis mission's answer
SignalBusiness event or market movement is visible and linked to a mission decision.Duplicate invoice enters system · Scenario event REF-TICK-30577 at 14:23
ContextEntity, business unit, owner, system object, policy domain, and history are resolved.Resolved through enterprise context graph: owner, system object, business unit, history, and policy domain.
EvidenceSource records, documents, approvals, and source-system snapshots are inspectable.Evidence pack includes source system record, curated data snapshot, policy reference, and supporting document where applicable.
PolicyAuthority, control, risk, accounting, tax, treasury, or investment policies are referenced.Policy/runtime gate is evaluated before recommendation or action.
DecisionThe mission produces a named decision object, not just a metric or chart.Block duplicate invoice
RecommendationRecommended response and alternatives are shown with impact.Allow transaction · confidence 18% · impact No process delay
Human OverrideHuman approval, rejection, override, or escalation path is explicit.Approval, rejection, override reason, and escalation owner are retained in replay.
ActionAction payload is traceable to workflow, system update, notification, hold, hedge, or approval.Prevented
ReplayEvent, context, evidence, policy, recommendation, human judgment, action, and outcome can be replayed.Replay captures signal, context, evidence, policy, agent output, human judgment, action, outcome, and learning.
LearningAccepted/rejected outcomes are captured as future pattern memory.Outcome becomes pattern memory after human decision and realized impact are known.
Business ImpactFinancial, risk, cash, control, or value impact is quantified.$482K prevented
Enterprise IntegrationSystems of record, data products, APIs, and future UDP context layer are named.SAP S/4HANA · BlackLine · Ariba · Maximo · example: SAP S/4HANA + Ariba invoice
Source Drill-downUsers can drill from decision to source transaction, document, or curated data product.Source drill-down points to SOR/API record, Databricks/UDP data product, document, or market feed behind the decision.
ConfidenceThe decision carries confidence and uncertainty drivers.Confidence is shown in decision formation and decomposed into data freshness, evidence completeness, policy clarity, and model uncertainty.
AlternativesAt least two alternative actions or scenarios are available.Allow transaction | Block transaction | Escalate authority
Audit TrailEvery material step is retained with timestamp, actor/agent, evidence, and policy result.Timestamped audit trail spans agent, human, policy, evidence, and action events.
Executive NarrativeThe mission can produce an executive answer: what happened, why, what to do, and expected outcome.Narrative answers what happened, why, recommended action, value, risk, and next owner.
Mission KPIA mission-level KPI changes when the scenario changes.Control effectiveness
ReadinessReadiness or confidence updates when blockers, policies, or evidence status change.Mission readiness/confidence updates when signals, evidence, policies, or blockers change.
Enterprise ImpactThe mission shows enterprise-level consequence beyond one transaction.Should this transaction be allowed to proceed?
Runtime architecture
SignalBusiness event, market movement, policy breach, or performance variance.
ContextEntity, asset, customer, project, policy, historical pattern, and owner resolution.
Evidence + PolicySource records, documents, controls, authority, and data-quality checks.
Decision + ActionAlternatives, confidence, financial impact, owner, action payload, and approval path.
Replay + LearningFull trace, outcome, accepted/rejected recommendation, and pattern memory.