AI CFO

What This Skill Does

The AI CFO skill acts as a comprehensive autonomous financial engine for your business, integrating real-time data from Mercury Banking and Stripe to provide high-level financial intelligence. It serves as a continuous monitoring tool that automates complex accounting tasks, ranging from transaction categorization to predictive cash flow modeling. By leveraging AI-driven analysis, it transforms raw banking and payment logs into actionable insights, helping business owners understand their daily cash position, monitor burn rates, and track recurring revenue without manual bookkeeping.

Installation

To integrate the AI CFO into your environment, use the OpenClaw CLI tool. Run the following command: clawhub install openclaw/skills/skills/aiwithabidi/ai-cfo. After installation, ensure you have your API keys ready. You must set the following environment variables: MERCURY_API_TOKEN, STRIPE_API_KEY, and OPENROUTER_API_KEY. These keys provide the necessary read-only access to your financial accounts and the intelligence layer required to categorize transactions accurately. Once configured, data will be stored locally in .data/sqlite/cfo.db for performance and privacy.

Use Cases

This skill is ideal for startups and SMEs looking to eliminate manual financial reporting. Primary use cases include: 1. Automated Bookkeeping: Automatically categorizing Stripe and Mercury transactions using AI. 2. Runway Management: Calculating real-time burn rates to ensure company longevity. 3. Financial Forecasting: Generating 30/60/90-day cash flow projections based on historical data. 4. Executive Reporting: Automatically generating weekly P&L statements for management reviews. 5. Budget Monitoring: Setting and enforcing spending limits by category.

Example Prompts

1. "Analyze my revenue for the last 30 days and tell me if my MRR is trending upwards compared to last month."
2. "What is our current burn rate and how many months of runway do we have based on current spending?"
3. "Generate a P&L statement for the current quarter and highlight any unusual expense categories."

Tips & Limitations

To maximize accuracy, ensure your Stripe and Mercury account permissions are restricted to read-only. While the AI is highly effective at categorization, review the sqlite database periodically for any misclassified anomalies. Keep in mind that the forecasting accuracy is entirely dependent on the quality and volume of your historical transaction data. If your business has seasonal volatility, the 90-day forecast may require manual adjustment or professional oversight.