Budget planning under uncertainty
Provides comparable base, upside and downside cases tied to stated planning assumptions. Explains which drivers account for the largest changes and what those changes mean for the financial outlook.
— Finance & Investment
Scenario Modeller
Builds base, upside and downside cases arithmetically from your driver table, then explains the swing factors, breach points and the triggers that should move you between scenarios.
- Finance & Investment
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Financial line items and base-case values
- Output
- Comparable base, upside and downside financial scenarios
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Scenario Modeller for
Investment case review
Shows how an investment case changes under specified upside and downside assumptions. Gives advisers a clear account of the swing factors and pressure points behind each outcome.
Financial threshold assessment
Assesses scenario outcomes against supplied financial limits or targets, identifying where a case breaches them. Makes the implications of those breaches explicit for decision-makers.
Leadership outlook discussions
Provides a concise explanation of each scenario and the conditions that support moving between them. Grounds discussions about a revised outlook in explicit assumptions rather than general optimism or caution.
What it works from
- Financial line items and base-case values
- Upside and downside multipliers for each driver
- Relevant financial limits, targets and decision thresholds
- Business context and scenario assumptions
What you get back
- Comparable base, upside and downside financial scenarios
- Scenario values calculated from explicit driver multipliers
- Explanation of each scenario’s financial implications
- Analysis of key swing factors and financial pressure points within the supplied drivers, assumptions, limits and targets
— HOW IT BEHAVES
How Scenario Modeller produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Every row of the reporting period in scope
Each row of your export is processed on the same basis, so no line item is skipped however long the table is.
The pattern charted
Movement across the reporting period in scope is visualised from the computed data, so the trend is legible at a glance.
Composed as work product
Findings on the reporting period in scope are written up as a document that reads like professional output, with each claim tied back to a line item.
Roll-up alongside line item-level detail
Detail rows are summarised into the grouped view of the reporting period in scope without losing the underlying line items.
Why this is expensive by hand
Financial scenarios lose credibility when assumptions and figures drift apart, leaving decision-makers unsure what changes the outlook or where the risks sit. In practice it shows up as budget planning under uncertainty: provides comparable base, upside and downside cases tied to stated planning assumptions. Explains which drivers account for the largest changes and what those changes mean for the financial outlook. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1–2 weeks of capacity for it.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; comparable base, upside and downside financial scenarios comes out, alongside scenario values calculated from explicit driver multipliers. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1–2 weeks down to ~40 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Finance directors and FP&A teams
- Investment, deal and corporate development teams
- Controllers and reporting managers
- Consultants building or reviewing business cases
Run it in Skillsize — or export it anywhere
Scenario Modeller exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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