Planning Intelligence
Treasury Intelligence
Move treasury from liquidity reporting to real-time optimization of cash, funding, exposures, and financial risk.
Core decision question
How should bp optimize liquidity, FX, debt, covenants, and hedging?
Every signal, context package, evidence pack, policy result, recommendation, human approval, action, replay, and learning artifact should serve this question.
North Star KPIs
Liquidity confidenceFX exposure reductionCovenant resilienceHedging effectivenessCash yieldAgent workforce
Liquidity Intelligence AgentFX Intelligence AgentDebt Intelligence AgentCovenant Monitoring AgentHedging Optimization AgentEnterprise integrations
Treasury systemsBank APIsSAP S/4HANAFX feedsCommodity feedsDebt systemsDatabricksFuture UDPMonitored domains
Cash positionLiquidity forecastFX exposureDebt portfolioCovenantsHedgesBank feesInvestmentsReference 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.
5858 reference signals / scenario
77 exposure movements
ScenarioScenario event REF-TICK-80391 at 14:22
$340M$340M headroom movement
Reference signals and recommended responses
| Signal | Source | Impact | Recommended response |
|---|---|---|---|
| Liquidity forecast moved | Treasury system | $340M headroom change | Rebalance funding plan |
| FX exposure increased | FX feed + SAP | $72M VaR movement | Recommend hedge adjustment |
| Covenant headroom tightened | Debt system | 1.6x threshold watch | Escalate treasury committee |
Demo sequence
- Cash forecast changes
- FX moves
- Covenant headroom recalculates
- Hedge options generated
- Treasury action drafted
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 / metric | Source system or data product | Record / API object | Business context |
|---|---|---|---|
| $340M headroom change | sor-treasury liquidity forecast | liquidity_run=LIQ-2026-0606 | Owner: Treasurer |
| $72M FX VaR movement | sor-fx-rate-feed + Murex exposure | exposure=FX-VAR-774 | Policy: Treasury hedge |
| 1.6x covenant watch | Debt system + covenant model | covenant=COV-ND-161 | Steward: Treasury Risk |
Evidence, policy, replay, learning, and action artifacts
Decision memory
| Runtime artifact | Identifier | Credibility proof |
|---|---|---|
| Evidence pack | EP-TR-80391 | data-evidence="pack" · source records and supporting documents |
| Policy ID | FIN-TR-2026-08 | Policy runtime gate evaluated before recommendation |
| Replay ID | REPLAY-TR-80391 | Replay available from signal through human judgment and action |
| Learning | patterns learned: 4 | Decision memory updates after accepted/rejected outcome |
| Action payload | Treasury hedge/funding workflow | Next 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 action | Confidence | Expected value / impact | Risk / tradeoff | Action path |
|---|---|---|---|---|
| Adjust FX hedge | 90% | $72M VaR reduced | Hedge cost | Treasury workflow |
| Rebalance debt maturity | 82% | +$180M headroom | Refinancing cost | Treasurer approval |
| Sweep idle cash | 93% | +$6.4M yield | Liquidity buffer change | Cash manager action |
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
Liquidity confidence
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.
| Time | Event | Scenario | Decision impact |
|---|---|---|---|
| --:--:-- | Waiting | No scenario injected | No mission state change |
Decision portfolio
| Decision | Impact | Owner | Status |
|---|---|---|---|
| Adjust FX hedge | $72M VaR reduced | Treasury Lead | Human-approved |
| Rebalance debt maturity | +$180M liquidity headroom | Treasurer | Recommended |
| Sweep idle cash | +$6.4M yield | Cash Manager | Draft action |
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 layer | What this layer can do | Executive credibility proof |
|---|---|---|
| Agent Runtime | Liquidity, FX, debt, covenant, and hedging agents monitor treasury exposure. | Treasury trace with cash, exposure, policy, hedge, and approval. |
| Analyst | Review cash, FX, debt, and hedge signals. | Can explain exposure movement. |
| Supervisor | Monitor treasury operations workload and exceptions. | Can manage unresolved treasury actions. |
| Function Leader / Treasurer | Optimize liquidity, hedging, debt, covenants, and bank relationships. | Can see risk-adjusted treasury recommendations. |
| FB&T Leader | Understand treasury contribution to cash, risk, and enterprise resilience. | Can connect treasury to working capital and forecast. |
| CFO | Steer liquidity, capital structure, and risk exposure. | Can decide funding, hedge, debt, and cash actions. |
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.
| Scenario | Inject | Expected runtime proof | Action |
|---|---|---|---|
| Liquidity shock | Cash forecast moves sharply | Liquidity outlook, headroom, recommended funding actions, and replay are visible. | |
| FX movement | Material FX exposure shift | Exposure, recommended hedge, policy, and action path are visible. | |
| Debt covenant pressure | Covenant headroom tightens | Debt optimization and escalation are visible. |
12+ dimension BP credibility audit
| Dimension | Visible proof requirement | This mission's answer |
|---|---|---|
| Signal | Business event or market movement is visible and linked to a mission decision. | Liquidity forecast moved · Scenario event REF-TICK-80391 at 14:22 |
| Context | Entity, 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. |
| Evidence | Source 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. |
| Policy | Authority, control, risk, accounting, tax, treasury, or investment policies are referenced. | Policy/runtime gate is evaluated before recommendation or action. |
| Decision | The mission produces a named decision object, not just a metric or chart. | Adjust FX hedge |
| Recommendation | Recommended response and alternatives are shown with impact. | Adjust FX hedge · confidence 90% · impact $72M VaR reduced |
| Human Override | Human approval, rejection, override, or escalation path is explicit. | Approval, rejection, override reason, and escalation owner are retained in replay. |
| Action | Action payload is traceable to workflow, system update, notification, hold, hedge, or approval. | Human-approved |
| Replay | Event, 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. |
| Learning | Accepted/rejected outcomes are captured as future pattern memory. | Outcome becomes pattern memory after human decision and realized impact are known. |
| Business Impact | Financial, risk, cash, control, or value impact is quantified. | $72M VaR reduced |
| Enterprise Integration | Systems of record, data products, APIs, and future UDP context layer are named. | Treasury systems · Bank APIs · SAP S/4HANA · FX feeds · example: sor-treasury liquidity forecast |
| Source Drill-down | Users 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. |
| Confidence | The decision carries confidence and uncertainty drivers. | Confidence is shown in decision formation and decomposed into data freshness, evidence completeness, policy clarity, and model uncertainty. |
| Alternatives | At least two alternative actions or scenarios are available. | Adjust FX hedge | Rebalance debt maturity | Sweep idle cash |
| Audit Trail | Every material step is retained with timestamp, actor/agent, evidence, and policy result. | Timestamped audit trail spans agent, human, policy, evidence, and action events. |
| Executive Narrative | The 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 KPI | A mission-level KPI changes when the scenario changes. | Liquidity confidence |
| Readiness | Readiness or confidence updates when blockers, policies, or evidence status change. | Mission readiness/confidence updates when signals, evidence, policies, or blockers change. |
| Enterprise Impact | The mission shows enterprise-level consequence beyond one transaction. | How should bp optimize liquidity, FX, debt, covenants, and hedging? |
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.