CoAssistant — AI-Powered Excel Add-in

An AI-powered Excel sidebar that automates spreadsheet tasks through natural language. Generate formulas, enrich data from the web, process documents, and run Python analysis — all from within Excel.

CoAssistant — AI-Powered Excel Add-in - Case Study

500+ waitlist signups

Strong early traction with analysts and data professionals before public launch

Natural language to Excel automation

Charts, tables, formulas, sorting, and conditional formatting — all from plain English prompts

3-tier SaaS model

Free (50 calls/mo), Pro ($29/mo, 500 calls), and Team ($79/user/mo, 2,000 calls) plans

CoAssistant

What is this project?

CoAssistant is an AI-powered Excel sidebar add-in that automates spreadsheet tasks through natural language. Instead of navigating menus or memorizing formulas, users describe what they need in plain English and the assistant executes it — charts, tables, conditional formatting, formulas, web data enrichment, document processing, and advanced Python analysis, all from within Excel.

Why did I build it?

Analysts and spreadsheet-dependent teams spend hours on repetitive tasks that shouldn't require manual effort. Writing a VLOOKUP, formatting a report, or enriching a lead list with company data from the web — these are workflows that AI can handle instantly. I wanted to bring AI directly into the tool people already use every day, without forcing them to switch to a separate app.

How does it work?

  1. Natural Language Commands: Users type prompts in the Excel sidebar ("Create a monthly sales summary table", "Add a SUM formula for the selected column") and the AI interprets and executes them
  2. Web Data Enrichment: A custom =COASSISTANT.WEB() function automatically finds LinkedIn profiles, company information, and funding data, populating spreadsheets row-by-row
  3. Document Processing: Upload PDFs, receipt photos, or screenshots and extract clean, structured data directly into cells — no separate OCR tools needed
  4. Python Code Execution: For advanced analysis — regressions, cohort analysis, visualizations — the assistant writes and runs Python, returning results to the sheet
  5. Integrations (Coming Soon): Connectors for Gmail, Outlook, SharePoint, Google Drive, Salesforce, HubSpot, Slack, and Jira

Tech Stack

  • Frontend: Next.js, React, Tailwind CSS
  • AI: Claude Sonnet via OpenRouter for natural language understanding and task execution
  • Code Execution: Python runtime for advanced analysis and data processing
  • Platform: Excel Add-in (sidebar integration)

What were the biggest challenges?

  • Excel Add-in Architecture: Building a seamless sidebar experience that integrates deeply with Excel's cell model, selections, and sheet structure
  • Web Enrichment Reliability: Making =COASSISTANT.WEB() return accurate, structured data from diverse web sources consistently
  • Document Extraction Accuracy: Handling varied document formats (PDFs, photos, screenshots) and extracting clean tabular data
  • Python Sandboxing: Running user-triggered Python code safely while returning results back to Excel cells

How can you use it or build on this?

  • Join the waitlist at coassistant.folch.ai to get early access
  • Use natural language to automate any repetitive Excel task
  • Enrich lead lists and datasets with web data using the custom function
  • Extract data from documents directly into your spreadsheets
  • Run advanced analysis (regressions, cohorts, visualizations) without leaving Excel

Links

  • Website: https://coassistant.folch.ai

What's next?

  • Public launch with Starter, Pro ($29/mo), and Team ($79/user/mo) plans
  • Gmail, Outlook, SharePoint, and CRM connectors
  • Google Sheets support
  • Team collaboration features and shared prompts
  • Template library for common workflows (financial modeling, lead enrichment, reporting)

In the age of AI, stay curious!

Want to Implement This in Your Organization?

Let's discuss how this solution can solve your specific challenges.

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