FPA revenue plan rows
0
Planning rows available for FP&A decision context.
FP&A Financial Decision Studio
Understand the operating model before opening the live use case.
FP&A Financial Decision Studio Launch
Refreshed: 2026-07-19 19:07:10 UTC
SOURCE
bp Sphere use case launch spec + linked runtime proof surfaces
Scope: Understand → Experience → Verify
POLICY
Launch metrics are non-attestation unless a section is explicitly marked live
EVIDENCE
SAP actuals, planning models, trading systems, Databricks driver models, capital portfolio records, market assumptions, treasury debt posture
RECORDS
Scenario orientation with downstream runtime, evidence, lineage, and read-model links
ACTION
Launch FP&A Financial Decision Studio
Launch Page Data Basis
T2/T3 MIXED READ MODEL
NON-ATTESTATION
FALLBACK DISCLOSED
The figures on this launch page are validation-orientation values unless a section is explicitly marked live.
They are not audit-attested SOR proof and must not be presented as production financial evidence.
A live compact read-model anchor is shown below for this launch page. Static launch metrics remain orientation-only.
Live Domain Read-Model Anchor
These values come from page-specific persisted read-models where available. Zeros mean no live rows were present, not a substituted demo value.
FPA assumptions
0
Persisted assumptions available for scenario governance.
Value events
39489
Value records available for attested outcome claims.
Decision ledger records
5422407
Decision rows available for replay and governance.
Source Connector Readiness Anchor
Connector dependencies are loaded from tenant domain connector manifests for finance.
This is readiness metadata, not a successful SOR call; live proof still requires read-model rows, evidence, policy, replay, or source-system response records.
Mode distribution: live: 5, local_live: 10.
finance · SAP S/4HANA
live
10 operations: get_journal_entries, post_journal_entry, get_gl_balances +7 more · freshness 60
finance · SAP S/4HANA Central Finance
live
5 operations: get_central_journal_entries, get_harmonized_trial_balance, get_replication_status +2 more · freshness 120
finance · SAP Ariba
local_live
6 operations: get_purchase_requisitions, get_purchase_orders, get_invoices +3 more · freshness 300
finance · Coupa
local_live
6 operations: get_invoices, get_purchase_orders, get_requisitions +3 more · freshness 300
finance · BlackLine
live
7 operations: get_reconciliations, get_reconciliation_detail, get_close_tasks +4 more · freshness 120
finance · HighRadius
local_live
7 operations: get_open_receivables, get_cash_applications, get_collection_worklist +4 more · freshness 180
Live Platform Proof Anchor
These counts come from persisted runtime tables. Business figures elsewhere on this launch page remain non-attestation unless separately marked live.
Agent Executions5826289
Policy Evaluation Logs21474823
Decision Ledger Records5422407
Organizational Change Records7
Value Event Records39489
Business Problem
Why this use case matters before the demo starts
FP&A leaders can already see variance, forecast, and narrative in existing tools. The harder problem is deciding what to do next, proving why the forecast changed, governing who changed assumptions, comparing capital allocation scenarios, and tracking whether approved decisions created value.
bp Sphere Decision Operating System
FP&A Financial Decision Studio
Move from forecast reporting into an executive financial decision operating system with decision queue, capital simulation, assumption governance, board narrative, value tracking, replay, and learning.
Enterprise Signal
Forecast and capital allocation signal
This use case starts with a governed enterprise signal, not a generic AI prompt.
→
bp Sphere Assembles
Context + Evidence + Policy + Impact + Judgment + Memory
Source systems consulted: SAP actuals, planning models, trading systems, Databricks driver models, capital portfolio records, market assumptions, treasury debt posture. Consequences evaluated: Revenue risk, free cash flow, net debt, capital allocation, dividend and buyback posture, LNG economics, upstream FCF sensitivity.
Context Discovery
Evidence Assembly
Policy Evaluation
Impact Analysis
Human Judgment
Decision Memory
What This Use Case Proves
1
Signal
Forecast and capital allocation signal enters the operating model.
2
Context Discovery
SAP actuals, planning models, trading systems, Databricks driver models, capital portfolio records, market assumptions, treasury debt posture are assembled into enterprise context.
3
Evidence & Policy
Controls and source evidence shape the decision before recommendation.
4
Impact
Revenue risk, free cash flow, net debt, capital allocation, dividend and buyback posture, LNG economics, upstream FCF sensitivity are calculated before action.
5
Human Judgment
The operator approves, overrides, escalates, or requests more evidence.
6
Decision Memory
The same Financial Decision Studio pattern extends to revenue risk, margin risk, cash forecasting, capex allocation, and strategic planning.
Launch Metrics · Non-Attestation Unless Marked Live
Enterprise Context Sources6
Evidence Records Evaluated48
Scenario Families4
Agents Participating6
Executive Decisions4
Why This Is Credible
- Financial decisions are explicit work items with owner, due date, impact, policy boundary, and action payload
- Forecast movement is decomposed into finance-grade drivers rather than summarized as a black-box variance
- Scenario assumptions recalculate LNG economics and upstream FCF deterministically
- Capital allocation recommendations remain human-approved, replayable, value-tracked, and learning-enabled
Recommendation Is Not The Product.
The durable value is the governed combination of context + evidence + policy + impact + human judgment. The recommendation is merely the visible output.
The durable value is the governed combination of context + evidence + policy + impact + human judgment. The recommendation is merely the visible output.
What The Operator Needs To Answer
- What changed in the forecast, and which business drivers caused it?
- Which source systems and assumptions support each number?
- Which financial decisions require executive attention, and what happens if we do nothing?
- What happens under base, conservative, aggressive, and user-defined capital allocation scenarios?
- Which capital allocation action should be taken, who approves it, and how is it replayed later?
Enterprise Context Consulted
SAP ActualsOCF, capex, debt, dividend, segment P&L, and actual performance baseline
Planning ModelsForecast assumptions, scenario baselines, obligation stack, and target posture
Trading SystemsTTF, Henry Hub, Brent, LNG cargo economics, and market-spread sensitivity
Databricks Driver ModelsDriver attribution, model confidence, and scenario recalculation
Capital PortfolioCapex obligations, divestitures, buybacks, debt-service, and capital allocation options
TreasuryNet debt, liquidity, debt-reduction priority, and cash timing posture
How This Use Case Lands In The Room
What the user sees
Financial decisions requiring attention, CFO simulation, forecast-change attribution, assumption governance, risk radar, board narrative, value tracking, and agentic trace
What the system proves
Forecast and scenario numbers are deterministic, source-bound, governed, replayable, and tied to executable financial decisions
Human judgment
FP&A, Treasury, segment leaders, and CFO office approve actions and assumption changes
Why it matters
This turns FP&A from variance narration into governed financial decision intelligence
Evidence Intelligence Fabric
Controlled Truth Sources
SAP ActualsPlanning ModelsTrading SystemsDatabricks Driver ModelsCapital PortfolioTreasury
Policies Evaluated
Evidence Discovery Timeline
Runtime Proof Links
Evidence artifact
Open the evidence pack and lineage before treating any recommendation as source-backed.
Policy and replay artifact
Policy and replay claims must resolve to a platform surface, not just launch-page narrative text.
Value claim boundary
Protected, pending, and realized value stay separate. Realized value requires finance attestation.
Evidence Pack Viewer
Evidence Lineage
Validation Script
Step 1 · Open the launch page
Click: /ui/use-case-launch?case=fpa_financial_decision_studio
Step 2 · Launch the studio
Click: Launch FP&A Financial Decision Studio
Step 3 · Start with executive financial state
Click: Click Underlying RC Profit, FCF, Net Debt, or Brent KPI
FP&A Financial Decision Studio demonstrates the operating model before you enter the live workspace.