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
databricks-code-sandbox-for-netsuite-smb-financial-modeling
Small finance teams using NetSuite struggle to run custom financial models and what-if analyses because they lack safe, isolated execution environments and must manually pull data from NetSuite, often resorting to error-prone spreadsheet macros.Run safe, budget-aware financial models on NetSuite data using natural language queries, eliminating spreadsheet errors and manual data pulls.
databricks-voice-agent-for-after-hours-property-maintenance-intake
Small property management businesses lose tenants when maintenance requests go unanswered after hours. An automated voice system can take calls, but generic IVRs frustrate callers without understanding the issue context or creating actual work orders.A voice agent that handles after-hours property maintenance calls, classifies requests, and creates work orders in AppFolio.
databricks-agent-mesh-for-stripe-dispute-response-automation
Small e-commerce businesses lose thousands in chargeback disputes due to slow, manual evidence gathering and missed deadlines, leading to lost revenue and increased fees.Automate chargeback evidence collection, rebuttal generation, and human review routing for SMB e-commerce merchants.
databricks-lead-intake-agent-for-smb-financial-advisors
Independent financial advisors lose 40% of web inquiries due to slow response. Manual sorting of tire-kickers vs. serious prospects wastes billable hours, and no-shows plague calendared consultations.Qualify, score, and route prospective client inquiries from web forms, email, or chat, automatically scheduling follow-up calls for high-value leads.
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.
databricks-ai-runbook-automation-for-smb-data-pipelines
Small businesses running ETL jobs on Databricks lack on-call expertise; a failed pipeline stalls reporting and can stay broken for hours because no one knows the recovery steps.Auto-generate runbooks and automate incident recovery for Databricks data pipelines so small teams can resolve failures without a dedicated DevOps hire.
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.
databricks-agent-mesh-for-small-business-workflow-automation
Small businesses use multiple disconnected AI agents for different tasks—order tracking, support, and data analysis—but lack a unified orchestration layer to route requests and share context, leading to inconsistent experiences and manual handoffs.A multi-agent routing mesh powered by Databricks models that coordinates specialized agents for order processing, customer service, and analytics for small businesses.
databricks-rag-pipeline-for-insurance-policy-analysis
Insurance brokers routinely waste hours manually searching through lengthy policy PDFs to answer coverage questions. Ambiguous phrasing and inconsistent document formats make keyword search unreliable.A retrieval‑augmented generation service that lets small insurance agencies query policy documents with natural language, backed by Databricks LLMs and pgvector.
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.
databricks-mcp-server-for-smb-data-analytics
SMBs using Databricks for business intelligence struggle to let AI agents interact with their data safely—each customer needs isolated access, rate limits, and audit trails, which are complex to build from scratch.Expose Databricks SQL queries as secure, multi-tenant MCP tools for AI agents, with built-in auth, rate limiting, and observability.
databricks-code-sandbox-for-secure-smb-data-analysis
Small businesses with data in Databricks need ad‑hoc reports and analyses, but hiring a data engineer for every query isn’t feasible. Non‑technical staff often write inefficient or unsafe code, risking runaway costs.An AI agent that translates natural language into safe SQL and Python queries, runs them on Databricks, and returns results with cost tracking and guardrails.