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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14 solutions · page 1 of 2
azure-ai-email-guardrails-for-smb-microsoft-365-protection
Small businesses that use Azure Open AI to draft or summarise Microsoft 365 emails risk sending personally identifiable information to the model or having a prompt injection turn an auto‑reply into a security incident. The business owner lacks the tooling to intercept every prompt and response without slowing down email workflows.A guardrail service that sits between Azure Open AI and Microsoft 365 email, redacting PII, blocking prompt injections, and repairing malformed LLM outputs before they reach a user’s inbox.
azure-ai-voice-agent-for-xero-small-business-financial-queries
Small business owners need immediate financial answers while on the go but can't log into Xero; calling an AI that reads their data aloud saves time and reduces errors.Call a number and ask about your Xero finances — get spoken P&L, invoices, and cash flow in natural language.
azure-ai-voice-agent-for-freshservice-itsm-ticket-creation
SMB employees lose time logging into Freshservice to report IT problems; phone calls are faster but create manual data entry. Without voice integration, small IT teams face delays.Employees call a dedicated number, describe their IT issue, and a Freshservice ticket is created automatically – no typing, no portal login.
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-security-guardrails-for-microsoft-entra-id-smb-access
SMBs struggle to approve or deny access requests in Microsoft Entra ID quickly while ensuring sensitive data isn't exposed and that requests comply with internal policies.Automated guardrail enforcement for Microsoft Entra ID access requests, combining Azure AI with PII detection and policy-based approval.
azure-ai-agent-eval-harness-for-smb-support-qa
Small businesses deploying Azure AI chatbots for customer support struggle with maintaining consistent answer quality as prompts, models, and knowledge bases change. Manual testing is time-consuming and unreliable, leading to wrong answers, inappropriate tool calls, and surprise cost overruns.Automated quality gates for Azure AI-powered support agents, catching regressions in tool use, answer quality, and cost before they reach customers.
azure-ai-mcp-server-for-smb-business-intelligence
Small business SaaS platforms want to offer AI-powered BI features, but building a secure, multi-tenant server that exposes database tools to agents is complex and easy to get wrong.Deploy a multi-tenant MCP server that lets AI agents query business intelligence dashboards securely, with per-client rate limits and isolated tools.
azure-ai-lead-intake-for-calendly-smb-lead-qualification
Small businesses lose leads because visitors abandon long contact forms or get no immediate response. Salespeople waste time on unqualified meetings while hot leads sit idle.An embedded chatbot that qualifies website visitors through a natural conversation and books a Calendly meeting when they are sales‑ready.
azure-ai-document-pipeline-for-sage-intacct-invoice-automation
SMBs manually re‑key paper and PDF invoices into Sage Intacct, a slow, error‑prone process that delays month‑end close and leads to mis‑posted transactions.Turns uploaded PDF invoices into structured Sage Intacct AR entries, using Azure OpenAI extraction and REAA repair to eliminate manual data entry.
azure-ai-code-sandbox-for-smb-analytics
SMBs need to run custom analytics scripts against their operational data, but giving an AI agent raw code execution risks runaway costs, infinite loops, or broken outputs without guardrails.Secure, budget‑enforced code execution for small business data analysis, powered by Azure AI and REAA safety controls.
azure-ai-reliability-suite-for-smb-ai-operations
Small businesses running AI agents on Azure often face unpredictable outages, silent failures, and runaway costs without dedicated SRE teams to monitor, alert, and recover.Proactive incident detection, self-healing, and cost-aware failure recovery for SMB AI agent operations, powered by Azure AI.
azure-ai-spend-control-for-multi-model-smb-workflows
Small businesses using Azure AI services often lose control of per-model, per-session costs, especially when orchestrating multiple models for complex workflows. Unexpected overages hurt margins.Real-time budget enforcement and cost telemetry for Azure AI deployments across multiple models, preventing runaway spend.