LNG Economics Decision Studio Demo Script

Step-by-step validation click path for the live use case.
LNG Economics Decision Studio Demo Script
Refreshed: 2026-07-19 19:08:09 UTC
SOURCE
bp Sphere validation click path
Scope: Step-by-step presenter guidance
POLICY
Narrative first · proof second · action third
EVIDENCE
ICE TTF, CME Henry Hub, JKM, carbon and freight feeds, cargo portfolio, contract repository, vessel availability, trading systems, treasury and finance planning
RECORDS
9 guided steps
ACTION
Launch LNG Economics Decision Studio
Validation Click Script
LNG Economics Decision Studio
Prove that LNG economics are simulated, explained, policy-evaluated, action-ready, learning-enabled, and replayable through the Sphere runtime.
Audience
LNG commercial, trading, supply, FP&A, Treasury, and finance leadership
Duration
6-7 minutes
Default role
administrator
Live launch
Launch LNG Economics Decision Studio

Step-By-Step Click Script

1
Open the launch page
Click/ui/use-case-launch?case=lng_economics
What to say
Frame this as LNG decision intelligence, not a trading dashboard or spreadsheet replacement.
What proof to land on
Business problem, operator questions, source details, and trust posture.
2
Launch the studio
ClickLaunch LNG Economics Decision Studio
What to say
Open the simulation workspace and start with the base portfolio economics.
What proof to land on
Annual profit, gross spread, net margin, margin per cargo, cargoes/year, portfolio status.
3
Move a market driver
ClickUse TTF $8 Stress or drag the TTF slider
What to say
Show that a market move immediately recalculates spread, margin, cargo economics, annual profit, break-even, and decision posture.
What proof to land on
Formula engine, KPI cards, profit chart, and So What decision lens update together.
4
Explain the number
ClickExplain This
What to say
Prove this is not a black-box AI number. It is a four-step deterministic formula with explicit inputs.
What proof to land on
TTF, Henry Hub, toll, shipping, cargo size, cargoes/year, overhead, and formula trail.
5
Show evidence
ClickEvidence
What to say
Answer where the data came from: market feeds, cargo portfolio, contracts, vessel benchmark, and timestamps.
What proof to land on
Evidence workspace and formula lineage chain.
6
Show policy impact
ClickPolicy
What to say
Demonstrate governed economics: margin policy, investment threshold, exposure policy, and diversion authority.
What proof to land on
Pass / approval-required policy table.
7
Show agentic actions
ClickAgentic Actions
What to say
Move from simulation to governed action: divert cargo, renegotiate contract, optimize freight, or hedge.
What proof to land on
Action payload, impact, approval path, and action generation chain.
8
Show Agentic Fabric
ClickAgentic Trace
What to say
Answer the technical question: which agents participated and what did they do?
What proof to land on
Market Signal, LNG Economics, Portfolio Context, Policy, Action Optimization, and Replay agents.
9
Close with learning and replay
ClickLearning + Replay
What to say
Show that the Sphere runtime remembers predicted vs actual outcomes and can replay historical LNG decisions.
What proof to land on
Predicted profit, actual outcome, variance, root cause, learning stored, and March 2026 replay chain.

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.