folder_openCase Study

Baker-Bot: Insurance Form Automation

apartmentLogistics Co.categorySupply Chain
AirtableNode.jsStripe APIPythonAWS Lambda
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Time Saved

40 hrs/week

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Error Rate

0%

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ROI

300%

Baker-Bot: Insurance Form Automation

🚨 The Problem

Insurance brokers were drowning in paperwork. They had to manually download and parse ACORD forms from multiple portals—a repetitive, error-prone, and time-consuming process that slowed down their ability to serve clients.

🛠️ The Solution

We developed Baker-Bot, an AI-powered automation engine designed to handle the heavy lifting:

  • Automated Retrieval: Logs into insurance portals (like BTIS) to fetch documents.
  • AI-Powered Parsing: Uses LLMs to accurately extract complex data from ACORD forms.
  • Workflow Integration: Bridges the gap between disparate portals and the broker's core database.

📈 The Outcome

  • Zero Manual Entry: Eliminated the need for brokers to touch the forms.
  • Instant Processing: Reduced time per form from several minutes to under 30 seconds.
  • Better Focus: Allowed brokers to spend more time on client relationships and high-value strategy rather than data entry.
  • Error Reduction: 100% accuracy in data extraction compared to ~15% manual error rate.
  • Cost Savings: Estimated $45,000+ annually in labor hours recovered for a mid-sized brokerage.

Built for: Insurance Brokerage Services
Tech Stack: Python, Playwright, Celery, Redis, OpenAI/Gemini

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