Use it when you want to begin forecasting work without writing the first draft from scratch.
Full Financial Planning Chain AI Prompt
Step 1: Business driver identification - identify the 5-8 key drivers that determine financial outcomes for this business. For each driver: current value, historical trend, and... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Step 1: Business driver identification - identify the 5-8 key drivers that determine financial outcomes for this business. For each driver: current value, historical trend, and forecast assumption with rationale. Step 2: Revenue model - build a bottom-up revenue model from the key drivers. Disaggregate revenue into its components (new business, existing customer growth, churn). Build three scenarios: base, bull, and bear. Step 3: Cost model - forecast each major cost category as either a fixed cost, a variable cost tied to a revenue driver, or a headcount-driven cost. Identify operating leverage: at what revenue level does EBITDA turn positive or reach the target margin? Step 4: Cash flow model - build the FCF model from EBITDA to free cash flow. Include working capital movements, capex, interest, and taxes. Compute cash runway under each scenario. Step 5: Balance sheet build - project the balance sheet for each period. Verify it balances. Identify any periods where the company needs additional financing. Step 6: Sensitivity and scenario analysis - build a tornado chart of the top inputs by impact. Create a 5x5 sensitivity table for the two most impactful inputs. Present the three scenarios with narrative. Step 7: Management presentation - produce a one-page financial summary: revenue, EBITDA, and FCF for each period with actuals and forecast. Include key assumptions, risks, and the single most important financial question the team needs to answer in the next 90 days.
When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in Forecasting or the wider Financial Analyst library.
What the AI should return
The AI should return a structured result that is directly usable in a forecasting workflow, with explicit outputs, readable formatting, and enough clarity to support the next step in financial analyst work.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Forecasting.
Frequently asked questions
What does the Full Financial Planning Chain prompt do?+
It gives you a structured forecasting starting point for financial analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for financial analyst workflows and marked as advanced, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Full Financial Planning Chain is a chain. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Rolling Forecast Design, Scenario Planning Framework, Time Series Revenue Forecasting.