Continuous Close Intelligence Mission Demo Script

Step-by-step validation click path for the live use case.
Launch RTR Anomaly Detection bp closes across upstream, midstream, trading, refining, and low-carbon businesses decommissioning provisions JV eliminations mark-to-market trading entries restatement risk SOX Close Assurance Dossier Data Quality Anomalies Journal Anomalies Balance Sheet Anomalies P&L Anomalies Root Cause & Resolution Audit Readiness Named Agent Inventory
Continuous Close Intelligence Mission Demo Script
Refreshed: 2026-07-19 19:02:05 UTC
SOURCE
bp Sphere validation click path
Scope: Step-by-step presenter guidance
POLICY
Narrative first · proof second · action third
EVIDENCE
SAP S/4HANA, SAP ECC, BlackLine, Endur, Murex, Ariba, Maximo, document repositories, accounting policies, SOX controls, and future UDP ontology
RECORDS
9 guided steps
ACTION
Launch Continuous Close Intelligence
Validation Click Script
Continuous Close Intelligence Mission
Prove that continuous close is created by decision intelligence operating on every financial event, not by a static dashboard.
Audience
Controller, close lead, internal audit, CFO
Duration
7-8 minutes
Default role
administrator
Live launch
Launch Continuous Close Intelligence

Step-By-Step Click Script

1
Open the launch page
Click/ui/use-case-launch?case=close_intelligence
What to say
Frame this as Continuous Close Intelligence, not faster dashboard reporting.
What proof to land on
Business problem, source systems, and runtime chain.
2
Launch the mission
ClickLaunch Continuous Close Intelligence
What to say
Open the mission where readiness is continuously calculated from financial events.
What proof to land on
Readiness KPIs, signals, decisions, agents, and integration contract.
3
Start with readiness
ClickClick Enterprise Close Readiness
What to say
Each KPI is presentation. The drawer shows contributing records and the runtime chain behind it.
What proof to land on
Journal, reconciliation, intercompany, evidence, controls and source systems.
4
Open the material journal signal
ClickClick Material provision journal needs support
What to say
Show how a SAP journal event changes readiness before month-end.
What proof to land on
Signal summary, source, decision, recommendation.
5
Open decision formation
ClickOpen decision formation from the signal
What to say
Show exactly how the decision formed: evidence, policy, agent trace, impact, and replay.
What proof to land on
JRN-NS-4408 evidence, R2R-MAT-002, SOX-CLOSE-404, agent trace.
6
Show entity readiness
ClickClick BPX-UK-NORTHSEA
What to say
Show that close readiness is calculated across real entities and owners, not only one journal.
What proof to land on
Entity readiness, blocker, owner, dependency chain.
7
Show agent actions
ClickClick Journal Intelligence Agent or Close Evidence Assembly Agent
What to say
Show what agents actually do and what data each one needs.
What proof to land on
Agent contract, SAP/BlackLine/trading/document/policy dependencies.
8
Show what-if simulation
ClickClick Provision support lands before M+2
What to say
Show how actions change readiness, close duration, effort, and risk.
What proof to land on
Readiness impact, close duration impact, effort/control impact.
9
Close with runtime architecture
ClickOpen Runtime Architecture
What to say
Tie the mission back to the bp Sphere runtime, not a standalone close dashboard.
What proof to land on
Signal to context to evidence to policy to decision to action to replay.

How To Use This In The Room

  • Start on the introduction page, not the live workspace.
  • Use the script to control the order: business problem, trust model, live proof, then action.
  • Spend most of the time on source-backed evidence rather than UI chrome.
  • If the room asks a skeptical question early, jump directly to the step that answers it.
Presenter note:
The recommendation is not the product. The product is the governed combination of context, evidence, policy, impact, human judgment, and memory.