Live demos
Two agents, running in your browser on real catalog, FAQ, and policy data. No signup, no sales deck — just agentic AI doing the work we say it does.
Storefront sales agent
Give it a shopper with a budget and watch it search the catalog, recommend, cross-sell, and win back an abandoned cart — with every tool call on display.
Knowledge agent
Query a real knowledge base of FAQs and policy documents. Arbor answers with sources attached — and says so when the docs don’t have the answer.
Under the hood
Plan → act → observe. The scenarios are scripted so you can replay them; the loop, the tools, and the data discipline are exactly what we deploy.
The agent turns intent into a structured goal — budget, constraints, context.
It calls real tools — catalog search, cart, policy lookup — and logs every call.
It checks results, adjusts, and only speaks from what the data actually says.
Your turn
Book a 30-minute intro call and we’ll walk through what an agent could do on your store, your docs, your workflows.