AI for Finance & Accounting: Analysis, Forecasting, Reporting

AI for Finance & Accounting

Financial Analysis

Prompt: Analyze financial statements:

Company: [Name]
Period: [Quarter/Year]
Key metrics:
- Revenue: $[amount] ([%] change)
- EBITDA: $[amount]
- Cash: $[amount]
- Debt: $[amount]

Provide:
- Financial health assessment
- Key ratios analysis
- Trends
- Concerns
- Comparison to industry

Forecasting

Prompt: Create financial forecast:

Historical data: [Data]
Assumptions:
- Growth rate: [%]
- Market conditions: [Description]
- New initiatives: [List]

Project:
- Revenue (3 years)
- Expenses
- Cash flow
- Break-even analysis
- Scenario analysis (best/worst/likely)

Expense Analysis

Prompt: Analyze expenses:

Data: [Expense breakdown]
Period: [Timeframe]

Identify:
- Highest costs
- Unusual spending
- Optimization opportunities
- Budget variances
- Recommendations

Automated Reporting

def generate_monthly_report(financial_data):
    prompt = f"""Create monthly financial report:

    Data: {financial_data}

    Include:
    - Executive summary
    - P&L highlights
    - Cash flow status
    - KPIs vs targets
    - Notable variances
    - Action items

    Format for executives (clear, concise).
    """

    report = get_ai_response(prompt)
    return report

AI Finance Tools

• Digits: AI bookkeeping
• Vic.ai: AP automation
• Trullion: Lease accounting
• Booke AI: Bookkeeping
• Zeni: Finance automation

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