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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5 solutions
google-gemini-multi-agent-handoff-for-gorgias-support-triage
Customer support teams using Gorgias get overwhelmed when tickets require human judgment; automated deflection and intelligent escalation are needed to reduce response times.Route Gorgias tickets between a FAQ agent and a human takeover using multi-agent handoff, driven by Google Gemini.
aws-bedrock-multiagent-handoff-for-slack-support-triage
Support teams in Slack are flooded with requests, and manual triaging to the right expert delays responses, hurting customer satisfaction and agent productivity.Triages incoming Slack support requests by automatically routing to specialist AI agents for billing, technical issues, or account management.
openai-multi-agent-handoff-for-e-commerce-order-tracking
Small e‑commerce owners lose hours per day manually checking WMS, carrier portals, and return logs for every customer call. Agents frequently restart the conversation from scratch, frustrating buyers and delaying resolutions.Automate order‑status, shipping, and returns inquiries by routing customers among specialized AI agents without losing conversation context.
azure-ai-multi-agent-handoff-for-e-commerce-customer-support
E‑commerce SMBs field support queries that span order tracking, returns, product recommendations, and tech support. A single monolithic chatbot can't handle the breadth, and human agents are overwhelmed during sales spikes.A routing mesh that classifies customer intents and hands off conversations between specialist AI agents — all hosted on Azure AI, so SMB e‑commerce teams can scale support without hiring.
multi-agent-handoff-mesh-for-small-business-customer-support
Small businesses often deploy separate AI chatbots for sales, support, and booking, leading to fragmented interactions, lost context, and unpredictable LLM costs when agents overlap.Coordinate multiple AI agents with seamless context handoff, budget tracking, and intent routing for a unified customer experience.