Strategic role
Enterprise judgment layer
bp Sphere
Introduction · what it is
Executive narrative
Business-first framing
12 registered runtime seams
bp Sphere
bp Sphere is the operating layer for enterprise understanding, judgment, execution, and learning.
bp Sphere does not replace SAP, Ariba, ServiceNow, Foundry, Databricks, AWS, Azure, or hyperscaler AI. It connects them, understands them, reasons across them, governs decisions across them, and progressively turns fragmented enterprise work into replayable, evidence-backed operating judgment.
Primary output
Governed decisions
What it adds
Context, evidence, policy, memory, orchestration
What it avoids
Another siloed AI platform
How to use this page
- Use Overview and Why for first-time orientation.
- Use How It Thinks and Operating Model when the team asks how Sphere actually works.
- Use Architecture and Technology + Data when the room asks how this fits with SAP, Ariba, Foundry, Databricks, AWS, and Azure.
- Use By Function and Functional Packs to connect the platform story to P2P, O2C, R2R, FP&A, Treasury, and ST&S.
- Use Roadmap to explain why bp should invest over time even with strong existing platforms.
bp Sphere evolution roadmap
This is not a generic AI maturity model. It is how bp Sphere progressively becomes the operating layer for finance decisions, operations, and execution. The visuals below answer three questions quickly: what bp Sphere is, how it evolves, and why existing platforms cannot do this alone.
Visual 1
Evolution of enterprise work
Today
- Human assembles context
- Human investigates root cause
- Human decides
- Human acts
bp Sphere
SAP
Ariba
BlackLine
ServiceNow
Foundry
Databricks
Interpretation
Systems exist, but humans still carry the integration, explanation, and judgment burden themselves.
Horizon 1
Understand, explain, recommend
Human role
- Human decides
- Human executes
bp Sphere
Assembles context
Explains
Recommends
Result
From fragmented information to enterprise understanding.
Horizon 2
Recommend, prepare, execute
Human role
- Human approves
- Human remains accountable
bp Sphere
Assembles context
Prepares actions
Orchestrates
Result
From decision support to governed execution.
Horizon 3
Govern, execute, learn
Human role
- Human supervises
- Human intervenes by exception
bp Sphere
Decides by policy
Executes
Learns
Result
From assisted execution to autonomous operations.
Capability maturity pyramid
Autonomy is earned, not enabled on day one. This is the control-friendly view of how the platform matures.
Enterprise AutonomyExecute & Learn
Governed ExecutionPrepare, Approve, Execute
Decision IntelligenceRecommend & Simulate
Evidence IntelligenceExplain & Validate
Context IntelligenceUnderstand Enterprise
How the horizons map
Horizon 1
Context + Evidence + Decision
Horizon 2
Add Governed Execution
Horizon 3
Add Enterprise Autonomy
Key message
Trust and control come before autonomy.
What stays vs what changes
This is the fastest answer to the core bp question: why invest in Sphere if strong enterprise platforms already exist?
| Existing investment | Future role |
|---|---|
| SAP | System of record |
| Ariba | Procurement system |
| BlackLine | Financial control system |
| ServiceNow | Workflow system |
| Foundry | Data foundation |
| Databricks | Data and AI platform |
| Claude | Personal assistant |
| bp Sphere | Enterprise judgment and execution layer |
Nothing gets replaced. Everything becomes smarter because one platform assembles context, applies policy, creates evidence, supports judgment, and orchestrates action across the existing estate.
Detailed horizon narrative
Below is the more detailed roadmap content for teams who want the capability breakdown by horizon.
Horizon 1 · 0-12 months
Understand, Explain, Recommend
From fragmented information to enterprise understanding
Core capabilities
Context intelligence, evidence intelligence, decision intelligence, explainability.
Human role
Human decides. Human executes. Sphere informs.
Example use cases
Journal anomaly detection, close intelligence, spend intelligence, credit insights, cash forecasting, scenario planning.
Illustrative target outcome: 30-50% reduction in effort spent finding, reconciling, and validating information once BP source integrations, owners, and controls are validated.
Horizon 2 · 12-24 months
Recommend, Prepare, Execute
From decision support to governed execution
Core capabilities
Action intelligence, workflow intelligence, policy intelligence, enterprise orchestration.
Human role
Human approves. Sphere prepares and orchestrates.
Example use cases
Draft journals, draft reconciliations, supplier communications, collections actions, liquidity proposals, forecast adjustment recommendations.
Illustrative target outcome: 40-70% reduction in manual operational coordination once governed execution paths and approval boundaries are validated.
Horizon 3 · 24-36 months
Govern, Execute, Learn
From assisted execution to autonomous operations
Core capabilities
Autonomous decisioning within policy, closed-loop learning, dynamic policy adaptation, enterprise memory.
Human role
Human supervises. Human intervenes by exception. Sphere executes by policy.
Example use cases
Autonomous reconciliations, autonomous invoice handling, autonomous dispute routing, autonomous liquidity monitoring, autonomous forecast updates.
Illustrative target outcome: 60-90% reduction in transactional and coordination effort where BP approves controlled execution and source-system write boundaries.
Horizon 4 · 36+ months
Enterprise Judgment System
bp Sphere becomes the operating layer for enterprise decisions
Capabilities
Enterprise mission control, multi-agent enterprise workforce, shared skills, shared memory, shared governance, executive decision cockpit.
Scope
Finance, procurement, supply chain, trading & shipping, retail, HR, technology, and operations.
Outcome
A truly AI-native enterprise operating model built on one context, policy, evidence, and action layer.
ERP systems transformed transaction processing.
bp Sphere transforms enterprise judgment.
Horizon 1 helps employees understand. Horizon 2 helps employees execute. Horizon 3 enables autonomous operations. Horizon 4 creates an AI-native enterprise operating model.
bp Sphere transforms enterprise judgment.
Horizon 1 helps employees understand. Horizon 2 helps employees execute. Horizon 3 enables autonomous operations. Horizon 4 creates an AI-native enterprise operating model.
Latest Runtime Capability Update
Every Introduction tab is now grounded in the same current runtime baseline: Continuous Finance Command Center, Continuous Close digital twin, CLI runtime proof, provenance badges, governed chat, WIIF assistant portability, Token Economy controls, fail-closed policy enforcement, deterministic replay, signed evidence, runtime adoption audit, skill learning promotion, autonomy demotion enforcement, case-state propagation, and observability readiness.
How to read “Status”: “Surface available” and “Endpoint available” mean the named surface or endpoint is implemented and registered in this build — they are not real-time health probes. Open any surface for its own ● live / ◐ seeded provenance badge; production SOR connectivity stays fail-closed until BP credentials and feeds are supplied.
Experience Orchestration Layer
Surface available - Shared decision objects render across desktop, mobile, and chat surfaces.
/ui/mission/p2p, /ui/mobile-cockpit, /ui/enterprise-chat
Governed Chat Interface
Surface available - Chat resolves role, mission, case, evidence, policy, action contract, replay, and feedback.
/ui/enterprise-chat
Workforce Intelligence Integration Fabric
Surface available - Assistant registry, connector packages, certification, compliance mappings, identity resolution, failover drills, and workforce coordination APIs.
/ui/workforce-intelligence-fabric, /ui/assistant-operations-center
Token Economy Control Plane
Surface available - LLM calls are routed, cached, denied, downgraded, or escalated before spend occurs; token value is attributed to decisions.
/ui/ai-cost-usage, /api/iaf/decision-intelligence/token-economy/decision
Guardrail Policy Engine
Surface available - Policy evaluation fails closed in production posture; non-fail-closed failures route to escalation instead of silent execution.
/ui/policy-registry, /ui/control-plane
Decision Replay + LLM Determinism
Surface available - Execution seed, prompt/context hash, evidence hash, policy version, and replay records are persisted and validated.
/ui/decision-journey, /ui/single-decision-audit, /ui/decision-replay-studio
Continuous Finance Runtime
The hero story is now “if BP closed the books right now, what would the financial statements look like?” The runtime combines actuals, forecast accruals, provisions, reconciliations, controls, evidence, confidence, and replay.
CLI Proof Path
Architects can run bp-now, bp-close-now, bp-financial-position, bp-digital-twin, bp-runtime, and bp-provenance to prove the runtime without the UI.
The CLI is intentionally self-disclosing: the runtime query is live; the workshop baseline is seeded and marked.
Provenance Badges
● live API query · ◐ seeded BP-shaped baseline · ◇ model/estimate with basis · ◆ deterministic policy/replay path.
Production SOR connectivity remains fail-closed until BP credentials and feeds are supplied.