The Challenge
US SaaS support queues grew 3x without hiring budget.
What We Built
RAG support agent over docs and tickets with human handoff and Slack alerts.
Tech stack: OpenAI, RAG, pgvector, Node.js, Zendesk API
Outcomes
60% tier-1 deflection and 40% faster first response.
Our 4-Phase Process
1. Discovery
Workflow mapping, data audit, and success metrics for your US team.
2. Design
Agent architecture, guardrails, UX flows, and integration contracts.
3. Build
Weekly demos, eval datasets, staging environments, and human-in-the-loop testing.
4. Launch
Production deployment, monitoring, documentation, and post-launch optimization.
Automating Customer Support with AI
Case study walkthrough — AI Customer Support Case Study
Prefer a live walkthrough? Book a free discovery call.
Client Feedback
"GKAI Studio delivered production-quality software on schedule — clear communication and US timezone overlap made the project smooth."
Frequently Asked Questions
Yes. Book a discovery call — we scope custom AI agents and software for US companies in your industry.
Typical agent MVPs run 6–12 weeks; SaaS platforms 12–20 weeks depending on scope.
Anthropic Claude and/or OpenAI with RAG, tool use, and human-in-the-loop approvals as required.