When your sales team has complex ROI calculations buried in a spreadsheet, turning them into a customer-facing tool might seem daunting. Here's how I used Coworker and Windsurf to transform our internal ROI formulas into a professional web calculator in just a few days.

The Challenge

Our sales team had developed sophisticated ROI calculations for Coworker in an Excel spreadsheet. The formulas were complex, accounting for various factors like team size, current productivity levels, and time savings across different business functions. While these calculations were accurate, they were locked away in a spreadsheet that only internal team members could access.

We needed a way to let prospects calculate their own potential ROI from using Coworker—something interactive, professional, and accessible on our website.

Step 1: Extracting the Logic with Coworker

The first step was understanding what our existing ROI calculations actually did. Since our team stores most documents in Google Drive, I simply asked Coworker to help me find and analyze our ROI calculations.

I asked Coworker to:

• Search our Google Drive for ROI-related spreadsheets and documents

• Identify the key input variables (team size, current manual process time, etc.)

• Explain the calculation methodology

• Break down the formulas into understandable components

• Identify the final ROI outputs (time savings, cost reductions, productivity gains)

This was incredibly powerful—instead of manually searching through our Drive and parsing complex Excel formulas, Coworker quickly located the right spreadsheet and extracted the core logic. This saved hours of manual analysis that would have involved digging through folders and deciphering complex formulas.

Coworker identified that our ROI model calculated three main benefits:

• Time savings: Hours saved per week by automating manual research and analysis

• Cost reduction: Reduced labor costs based on average salary data

• Productivity multiplier: Increased output quality and speed across teams

Step 2: Building the Calculator with Windsurf

With the logic clearly understood, I turned to Windsurf, an AI-powered development environment, to build the actual calculator. Windsurf is similar to Cursor but recently got acquired by Google, making it an interesting choice for AI-assisted coding.

I provided Windsurf with:

• The ROI calculation logic extracted by Coworker

• Requirements for a clean, professional web interface

• Specifications for input fields and output formatting

The AI generated a complete calculator with:

• Interactive input forms for company size, current processes, and industry type

• Real-time calculation updates as users adjust parameters

• Professional styling that matched our brand guidelines

• Responsive design for mobile and desktop use

What impressed me most was how Windsurf handled the complex conditional logic from our original spreadsheet. The AI correctly translated Excel IF statements and VLOOKUP functions into clean JavaScript that performed the same calculations.

Step 3: Integration and Deployment

The next challenge was integrating the calculator into our existing website built on Framer. This involved:

• Hosting: Deploying the calculator to Vercel with automatic builds

• CI/CD Setup: Configuring GitHub integration so code pushes automatically update the live version

• Embedding: Creating seamless integration with our Framer-based website

• Branding: Adding Coworker logos and maintaining consistent visual design

• Analytics: Setting up tracking to understand usage patterns

I chose Vercel for hosting because of its seamless GitHub integration—whenever I push code changes to the repository, Vercel automatically builds and deploys the updated version. This created an efficient development workflow where I could iterate quickly and see changes live within minutes.

For the Framer integration, I embedded the calculator using an iframe, which allowed the tool to maintain its own hosted environment while appearing seamlessly integrated on our website. You can see the final result at https://coworker.ai/roi-calculator.

Step 4: Testing and Refinement

Before launching, we ran extensive testing to ensure accuracy:

• Calculation validation: Cross-checking results against the original Excel spreadsheet

• User experience testing: Having team members test the interface and provide feedback

• Edge case handling: Testing with extreme values to ensure the calculator remained stable

• Mobile optimization: Ensuring the calculator worked seamlessly on mobile devices

The feedback loop was invaluable. We discovered that some industry-specific variables needed adjustment, and users wanted more granular control over certain parameters. These insights led to several iterations that improved both accuracy and usability.

The Results

The final ROI calculator provides prospects with immediate, personalized insights into the value Coworker could deliver for their organization. Users can input their specific business parameters and get detailed breakdowns of:

• Annual time savings in hours

• Cost savings based on their team's salary levels

• Productivity improvements across different business functions

• Return on investment calculations with clear timelines

The calculator has become a valuable sales tool, allowing prospects to self-serve ROI calculations and making our sales conversations more data-driven and specific to their needs.

Key Takeaways

AI tools can dramatically accelerate development: What could have taken weeks of manual development was completed in days by leveraging AI for both analysis and coding.

Start with existing business logic: Our sales team's Excel spreadsheet provided the foundation. Rather than building ROI calculations from scratch, we transformed proven internal tools into customer-facing assets.

Iterate based on real feedback: The initial version was functional, but user testing revealed opportunities for improvement that made the final product much more valuable.

Integration matters as much as functionality: A great calculator is only valuable if it integrates seamlessly into your existing marketing and sales workflow.

Tools Used

• Coworker: For analyzing and extracting logic from complex spreadsheets

• Windsurf: For AI-assisted development and code generation

• Framer: For website integration and hosting

• Google Sheets: For original ROI calculations and ongoing refinement

Building tools like this ROI calculator demonstrates how AI can help businesses turn internal knowledge into customer-facing value. By combining AI analysis with AI-assisted development, we transformed a complex spreadsheet into a professional marketing tool that serves both prospects and our sales team.

The entire process took less than a week from concept to deployment—a timeline that would have been impossible with traditional development approaches. This experience reinforced how AI tools can help businesses move faster while maintaining quality and accuracy.