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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29 solutions · page 1 of 3
openai-lead-intake-with-intent-routing-for-smbs
SMBs using live chat or contact forms receive a flood of unqualified inquiries. Sales teams waste time on generic questions and miss real buying signals, while no follow-up history persists across sessions.Chat-based lead intake that classifies buyer intent and routes qualified conversations to the right sales agent, with full session history.
anthropic-salesforce-contract-extraction-for-smb-sales
Small sales teams keep contracts and proposals as PDFs or scanned documents inside Salesforce, but pulling out amounts, effective dates, and signatory details manually is slow, error-prone, and inconsistent.Automatically extracts key fields like value, dates, and parties from Salesforce contracts and proposals, eliminating manual data entry for SMB sales teams.
vllm-observability-suite-for-smb-ai-operations
Small businesses running vLLM for AI inference struggle to monitor token usage, latency, and cost across multiple agents, leading to overspend and undetected performance regressions.Prebuilt observability stack with OpenTelemetry traces and dashboards for any AI agent using vLLM as the inference backend.
databricks-ai-spend-control-for-budget-conscious-smbs
SMBs deploying Databricks-powered AI agents face unpredictable LLM costs that can spiral, especially when agents handle fluctuating request volumes. Without automated spend controls, they risk overspending or service disruption.Enforce per-agent LLM budgets and automatically downgrade models when costs exceed thresholds to keep SMB AI operations within budget.
xero-reliability-suite-for-smb-accounting-operations
SMBs that depend on automated Xero data flows grind to a halt when APIs error or rate-limit — with no on-call staff, each outage means hours of manual recovery.Auto-generate Xero incident runbooks, wrap API calls with circuit breakers, rotate OAuth secrets, and get Slack alerts — all without an SRE.
databricks-llm-observability-for-smb-production-ai
Small businesses deploying Databricks-hosted LLMs lack visibility into latency, token usage, and spend across their applications, making it hard to debug slowdowns or control costs.Drop-in OpenTelemetry tracing and cost attribution for every Databricks model call, visualized in Langfuse, so small teams can monitor LLM performance without building custom instrumentation.
perplexity-rag-eval-suite-for-smb-knowledge-bases
SMBs that deploy internal RAG bots for employee or customer support find their answers drift as documents change. Without automated evaluation, they only discover quality regressions through user complaints, with no reproducible benchmark and no way to track LLM judging costs.Continuously evaluate your small business RAG knowledge base using Perplexity’s LLM-as-judge, heuristic metrics, and cost-tracked CI gates from REAA’s eval packs.
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.
databricks-llm-observability-suite-for-smb-ai-operations
SMBs using Databricks for AI workloads have no easy way to monitor spending, latency, or error rates across multiple models, leading to bill shock and debugging blind spots.Gain end-to-end visibility into every LLM call on Databricks, from token usage to cost, with ready-made dashboards and alerts.
xai-grok-secure-code-sandbox-for-smb-data-pipelines
Small businesses want to use LLMs to automate Excel transformations, CSV analysis, or generate reports, but blindly executing generated code risks data corruption, infinite loops, and unpredictable cloud costs.Empower SMBs to safely run AI-generated code on their data with cost controls and execution quarantine, preventing runaway bills and destructive operations.
openrouter-code-sandbox-for-smb-financial-modeling
Small business analysts need to run what‑if financial scenarios but lack coding skills or safe execution environments. Manual spreadsheets are error‑prone, and exposing LLM‑generated code to a live environment risks data loss or cost overruns.A secure, budget‑aware AI code sandbox that lets non‑technical SMB analysts run Python financial models and get repaired, validated results without writing code.
openai-cost-control-for-smb-agent-workflows
Small businesses using OpenAI for customer-facing agents watch bills climb from repeated questions and no way to cap monthly spend. They need automatic cost tracking, caching of common answers, and hard budget limits.Slash OpenAI spending with AI-powered caching and budget enforcement for small business support teams.