Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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4 solutions
azure-ai-document-pipeline-for-smb-medical-claim-processing
Small medical practices and billing companies manually extract data from Explanation of Benefits (EOB) documents and insurance claims, leading to errors, delays, and high administrative costs.Ingest EOBs and insurance claims from PDFs, repair malformed LLM outputs, and route low-confidence extractions for human review—all with cost-aware caching.
azure-ai-multi-agent-handoff-for-linear-issue-triage
Engineering teams waste time manually categorizing and assigning bugs, resulting in slow triage and mishandled critical issues.Automatically triage incoming Linear issues by routing them to specialized AI agents, escalating only complex cases to human engineers.
azure-ai-phone-agent-for-calcom-appointment-scheduling
Small businesses miss after-hours calls and waste time on scheduling back-and-forth. Manual booking leads to lost revenue and double-bookings.An AI voice agent that answers calls, converses with customers, and books appointments directly into Cal.com, using Azure OpenAI and REAA's orchestration toolkit.
azure-ai-document-pipeline-for-quickbooks-online-invoice-processing
SMBs waste hours manually keying invoice data into QuickBooks, risking errors, delayed payments, and poor cash-flow visibility.Automatically extract, validate, and post vendor invoice data from PDFs or images directly into QuickBooks Online using Azure OpenAI.