SaaS Revenue Leak Hunter & Monetization Repair Engine

The problem

SaaS founders often confuse growing MRR with financial health, only to realize too late that collections delays, high AI infrastructure costs, or poor unit economics are draining their bank accounts. Paper runway rarely matches actual liquidity, leading to sudden cash crises.

What it does

• Generates a rolling 13-week cash forecast based on actual collections and committed outflows.
• Diagnoses hidden cash leaks like AI inference costs, long CAC payback, and high churn.
• Calculates "Practical Runway" by accounting for debt, taxes, and collection delays rather than just gross burn.
• Produces a 90-day rescue plan with prioritized actions to stabilize, protect, and repair the business.
• Builds four specific scenarios (Base, Downside, Survival, Failure) to determine the real runway cliff.

Why this beats prompting it yourself

Standard LLM prompts treat finance like general accounting. This skill applies specific B2B SaaS logic, separating bookings from collections and auditing unit economics like a fractional CFO. It refuses to validate vanity metrics, forcing you to confront the difference between accounting performance and actual survival capacity.

Use cases

• Evaluating if your current growth rate will bankrupt the company before the next funding round.
• Auditing AI infrastructure costs to see if heavy users are destroying your gross margins.
• Preparing a board-ready financial status memo that highlights risks and required decisions.
• Identifying which specific costs to cut without damaging your core revenue engine.

Known limitations

Requires specific financial data including unrestricted cash, payroll, and infrastructure spend to move beyond directional analysis. It is not an automated accounting sync and relies on user-provided inputs.