ChatGPT Prompting for Finance and Financing

Module 1: Prompting basics for financial accuracy

• What good prompts include: goal, audience, scope, format, and success criteria
• Context and assumptions: units, currency, period, scenario, data source
• Constraints and style: numeric precision, rounding, tone, and length limits
• Examples and test cases: improving results with few shot prompting

Module 2: Core finance and financing use cases

• Budget and forecast prompts: scenario planning, drivers, variance notes
• Credit and lending prompts: risk factors, covenant checks, credit memo drafts
• Cash flow and working capital prompts: statements, reconciliation notes, levers
• Reporting prompts: management summaries, board briefs, KPI narratives

Module 3: Reliability, safety, and review loops

• Data privacy: do not paste sensitive data, how to redact and synthesize
• Hallucination control: ask for sources, confidence, and unresolved questions
• Numeric assurance: cross checks, reasonableness tests, alternative calculations
• Audit friendly output: tables, assumptions list, change log in the response

Module 4: Team prompt library and adoption

• Turning tasks into templates: placeholders, variables, and guardrails
• Versioning and naming conventions for shared prompts
• Integrating prompts with Excel, PowerPoint, and email workflows
• Personal and team action plan with a small starter library