Urban Stone
Amazon Granite Rebrand Portal
Full brand and commerce portal repositioning a commodity granite product through premium UX, structured content, and AI-assisted FAQ — reducing inbound support while establishing SEO presence.
We build AI chatbots, agents, and intelligent web platforms that reduce support load, increase conversion, and automate workflows — from prototype to production.
Services
Every engagement starts with a clear outcome. We match the right AI system to the problem — then build it to production quality.
Conversational AI for support, sales, and onboarding — tuned to your knowledge base and deployed on your channels.
Goal-directed systems that read, write, route, and operate across your tools — replacing repetitive manual work reliably.
Connect LLMs to your CRM, docs, and APIs with the right data pipelines, security boundaries, and observability.
Measured Impact
Case Studies
Amazon Granite Rebrand Portal
Full brand and commerce portal repositioning a commodity granite product through premium UX, structured content, and AI-assisted FAQ — reducing inbound support while establishing SEO presence.
Local Music Discovery Platform
Searchable directory connecting artists, studios, and promoters in Charlotte with AI-assisted matching logic, structured profiles, and a booking inquiry flow optimised for local SEO.
Agentic Workflow Automation
Internal agentic system automating dev lifecycle tasks — PR review, doc generation, and cross-repo orchestration. Built with modular tools, prompt versioning, and full observability. Now the foundation for client deployments.
Delivery Framework
A structured process that starts with outcomes, moves fast, and stays accountable at every stage.
We map your current workflows, identify the highest-leverage AI opportunity, and define measurable success criteria before writing a line of code.
A working proof-of-concept — not slides. You see the AI behaving on your real data, with feedback loops from your team built into the sprint.
Production-grade build with observability, guardrails, and integration testing. Every system launches with monitoring and a clear escalation path.
Post-launch, we run evaluation cycles — reviewing conversation logs, agent traces, and conversion data — to continuously improve output quality.
Let's work together
Tell us what you want to automate, improve, or build. We'll respond within one business day with a clear path forward.