SaaS Business Operating Expense (OpEx) & Runway Burn Audit
Audit corporate operating expenses, identify software license bloat, and extend cash runway.
Compatibility & Specs
Compatible AI Models
ClaudeChatGPTGemini
Last UpdatedOct 3, 2026
Customizable Variables3 parameters
Main Prompt Template
209 words • 1590 characters
You are a Fractional CFO and Corporate Financial Operations Consultant. I need you to conduct an operating expense (OpEx) audit and cash runway sensitivity analysis for a growing company.
*Notice:* This prompt provides analytical frameworks for operational cost management and does not replace formal accounting or audit opinions.
Company Profile, ARR / Revenue & Current Cash Reserves:
[company_financials]
Monthly Operating Expense Breakdown (Payroll, Cloud, SaaS, Marketing, Facilities):
[expense_breakdown]
Current Runway Target & Burn Reduction Goals:
[runway_goals]
Deliver the Operating Expense & Runway Audit:
1. Net Burn Rate & Runway Calculation: Calculate current gross burn, net burn (after current monthly revenue), and existing cash runway in months.
2. SaaS Tooling & License Bloat Audit: Identify redundant categories (e.g., overlapping communication tools, unassigned licenses, premium enterprise tiers for unused features). Suggest specific consolidation plays.
3. Cloud Infrastructure & Hosting Efficiency: Recommend high-impact cost optimization tactics (e.g., reserved instances, storage tiering, data egress audits) that preserve reliability.
4. Three Runway Extension Scenarios:
- Conservative: 10% OpEx reduction (low friction, zero headcount impact)
- Moderate: 20% OpEx reduction (vendor renegotiations, pause non-critical hires)
- Aggressive: 35% OpEx restructuring (deep budget freeze to guarantee 24-month survival)
5. Vendor Renegotiation Playbook: Draft a professional email script to renegotiate annual contract terms with top software vendors.
Tip:Variables marked in purple brackets can be tailored below.
Customize Prompt
Fill in the variables below. Your customized prompt updates instantly in the browser — no AI API needed.
Parameters (3)* Indicates required field
[company_financials]
Monthly revenue, total cash in bank, and growth rate
[expense_breakdown]
Breakdown of monthly payroll, software, AWS/GCP, contractors, and ads
[runway_goals]
Target runway in months and primary objectives
3 parameters active
Live Customized OutputLive Preview
286 wordsYou are a Fractional CFO and Corporate Financial Operations Consultant. I need you to conduct an operating expense (OpEx) audit and cash runway sensitivity analysis for a growing company.
*Notice:* This prompt provides analytical frameworks for operational cost management and does not replace formal accounting or audit opinions.
Company Profile, ARR / Revenue & Current Cash Reserves:
B2B SaaS startup with $90,000 monthly revenue ($1.08M ARR). Total cash reserves in bank: $1,400,000. Month-over-month revenue growth is 4%.
Monthly Operating Expense Breakdown (Payroll, Cloud, SaaS, Marketing, Facilities):
Total Monthly Outflow: $195,000.
- Payroll & Benefits (12 FTEs): $128,000
- AWS Cloud Infrastructure & Databases: $24,500
- SaaS Tool Subscriptions (Slack, Zoom, Salesforce, Figma, Datadog): $16,000
- Performance Marketing & Paid Search: $18,500
- Legal, Accounting & Misc: $8,000
Current Runway Target & Burn Reduction Goals:
Extend current runway from ~13 months to at least 20 months without conducting layoffs, preparing for Series A profitability.
Deliver the Operating Expense & Runway Audit:
1. Net Burn Rate & Runway Calculation: Calculate current gross burn, net burn (after current monthly revenue), and existing cash runway in months.
2. SaaS Tooling & License Bloat Audit: Identify redundant categories (e.g., overlapping communication tools, unassigned licenses, premium enterprise tiers for unused features). Suggest specific consolidation plays.
3. Cloud Infrastructure & Hosting Efficiency: Recommend high-impact cost optimization tactics (e.g., reserved instances, storage tiering, data egress audits) that preserve reliability.
4. Three Runway Extension Scenarios:
- Conservative: 10% OpEx reduction (low friction, zero headcount impact)
- Moderate: 20% OpEx reduction (vendor renegotiations, pause non-critical hires)
- Aggressive: 35% OpEx restructuring (deep budget freeze to guarantee 24-month survival)
5. Vendor Renegotiation Playbook: Draft a professional email script to renegotiate annual contract terms with top software vendors.
How to Use This Prompt
Follow this 3-step workflow to extract high-signal responses from any compatible AI model.
01
1. Tailor the Parameters
Use the interactive customizer above to substitute the bracketed placeholders with your exact context, requirements, and constraints.
02
2. Send to AI Model
Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot. These models follow structured multi-step constraints reliably.
03
3. Review and Iterate
Review the output against the verified benchmark below. Follow up in the conversation to stress-test edge cases or refine tone.
Prompt Variables & Parameters
Reference breakdown of every dynamic variable embedded in this prompt template.
| Placeholder | Parameter Name | Type | Status | Description & Guidance |
|---|---|---|---|---|
| [company_financials] | Company Financial Profile | textarea | Required | Monthly revenue, total cash in bank, and growth rateDefault: B2B SaaS startup with $90,000 monthly revenue ($1.08M ARR). Total cash reserves in bank: $1,400,000. Month-over-month revenue growth is 4%. |
| [expense_breakdown] | Monthly OpEx Breakdown | textarea | Required | Breakdown of monthly payroll, software, AWS/GCP, contractors, and adsDefault: Total Monthly Outflow: $195,000. - Payroll & Benefits (12 FTEs): $128,000 - AWS Cloud Infrastructure & Databases: $24,500 - SaaS Tool Subscriptions (Slack, Zoom, Salesforce, Figma, Datadog): $16,000 - Performance Marketing & Paid Search: $18,500 - Legal, Accounting & Misc: $8,000 |
| [runway_goals] | Runway Target & Goals | text | Required | Target runway in months and primary objectivesDefault: Extend current runway from ~13 months to at least 20 months without conducting layoffs, preparing for Series A profitability. |
Example Execution & Benchmark Output
Sample input arguments and the verified AI response demonstrating expected quality and formatting.
Sample VariablesInputs
[company_financials]
B2B SaaS startup with $90,000 monthly revenue ($1.08M ARR). Total cash reserves in bank: $1,400,000. Month-over-month revenue growth is 4%.
[expense_breakdown]
Total Monthly Outflow: $195,000.
- Payroll & Benefits (12 FTEs): $128,000
- AWS Cloud Infrastructure & Databases: $24,500
- SaaS Tool Subscriptions (Slack, Zoom, Salesforce, Figma, Datadog): $16,000
- Performance Marketing & Paid Search: $18,500
- Legal, Accounting & Misc: $8,000
[runway_goals]
Extend current runway from ~13 months to at least 20 months without conducting layoffs, preparing for Series A profitability.
Expected AI ResponseVerified Result
### SaaS Operating Expense & Runway Audit
#### 1. Baseline Financial Snapshot
* **Gross Monthly Outflow:** $195,000/month
* **Monthly Revenue:** $90,000/month
* **Net Monthly Burn:** **$105,000/month** ($195,000 - $90,000)
* **Current Runway:** **13.3 months** ($1,400,000 ÷ $105,000)
#### 2. Non-Headcount Cost Reduction Plays
* **AWS Savings Plans & Commitments:** Shifting on-demand EC2/RDS instances to 1-year Compute Savings Plans yields ~32% reduction on compute, saving ~$6,000/month.
* **SaaS License Rationalization:** Downgrading Datadog log retention from 30 days to 7 days on non-prod environments and pruning inactive Salesforce seats saves ~$3,500/month.
* **Performance Marketing Re-allocation:** Prune bottom 30% CPA Google Ads keywords to save $5,500/month while preserving core inbound demo capture.
#### 3. Runway Extension Scenarios
* **Baseline:** Net Burn $105k/mo → **13.3 months runway**
* **Target Optimization (-$15k/mo OpEx savings):** Net Burn drops to $90,000/mo. In combination with modest 4% MoM organic revenue compounding, runway immediately extends from 13.3 months to **19.8 months** — achieving your goal with zero layoffs.
Best Use Cases
Scenarios and roles where this prompt produces maximum leverage.
Founders and startup executives seeking to extend runway before raising capital
Finance directors auditing runaway software license and cloud infrastructure sprawl
Operations leads modeling cash flow sustainability for board meetings
Tips for Best Results
Techniques to elevate response fidelity
- •Provide rich background context rather than one-sentence inputs to receive deep, non-generic responses.
- •Engage in multi-turn conversation: use the initial output as a baseline, then ask the AI to sharpen specific sections.
- •Prompt the model to highlight any hidden assumptions or missing trade-offs in its recommendations.
Common Mistakes to Avoid
Frequent failure modes and anti-patterns
- •Giving minimal context and expecting nuanced, expert-level strategic output.
- •Not validating factual references, citations, or statistical claims with verified primary sources.
- •Skipping the customization step and pasting raw bracketed template variables into the AI chat.
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