A hybrid AI and human live-video support platform replaced a traditional call center with automated and assisted resolution.
- Deployment
- Live in production
- Support model
- Hybrid AI + human
- Integration
- Embedded plug-in
What we shipped
An end-to-end live-video support platform that blends AI automation with human agents.
Traditional call centers and outsourced support organizations face pressure to modernize. Large human support teams incur high operating costs, response times stretch during peak demand, and remote troubleshooting is often limited by a lack of visual context.
Blueprint → AI Pilot → Production launch → Scale and operate.
We followed the Datablooz Delivery Model. See our process.
- Blueprint
Defined the hybrid support model, agent workflows, and embed plug-in requirements.
- AI Pilot
Built a prototype with AI triage, knowledge retrieval, and session summarization, tested on a subset of live support traffic.
- Production launch
Shipped the full agent workspace, manager dashboard, and AI automation layer with live video, chat, and AI-driven support.
- Scale and operate
Extended into AI troubleshooting assistants, ticket routing, sentiment analysis, and autonomous resolution.
Business, technical, and governance outcomes.
- Hybrid AI plus human support operational in production.
- Frictionless embedded plug-in for live video and chat.
- Supervisor analytics across agent performance and volume.
- Foundation for autonomous support agents.
- Node.js
- WebRTC
- React
- LLMs
- PostgreSQL
- Redis
Session summaries and interaction logs stored for audit, with AI assistance surfaced alongside human agent controls.
Working on something similar?
Schedule a call. We will tell you honestly whether AI is the right move.
Reference calls available under NDA after the second working session.