How Sandbox VR gives 1,000+ employees instant operational answers across 90 locations
93%
Resolution accuracy
1000+
Questions resolved per week

The same agent, turned around. A data analyst that already knows your business and every conversation it had, audits your agent on a schedule, and an agent builder that writes the fix, down to custom actions. You approve what ships.

Sales agent
This week your AI agent handled 1,247 conversations, with automation up 4.2%↑. The biggest theme was pricing and billing questions, followed by account setup. Escalations rose slightly, driven by API integration errors that may benefit from an updated help article.
Add an action to automate issuing refund credits to users.
Resolution rate by ~15%Trusted by over 10000+ businesses
It already knows your products, policies and connected systems, because it is your agent. And it's talked to your customers all day, unlike any analytics tool.
Your sources, your procedures, your connected systems. Nobody explaining what your product is or how your refund policy works before you can ask.
Every conversation it handled, across every channel. Not a sample someone exported, not the twenty tickets that got reviewed this week.
Put the two together and you get more than a report: what customers keep asking, and which instruction, source or step would answer them.
Not a dashboard with answers someone else chose for you. Ask the question you actually have, in plain English, and get it answered from every conversation.
"What are people asking about most this week?" "Why did refund requests double?" "What do customers say right before they cancel?" Ask it the way you'd ask a colleague.
It reads all of it. Themes across thousands of conversations, grouped so you can see them, rather than whatever surfaced in the last twenty tickets someone happened to review.
New questions appearing, old ones fading, complaints rising in one region or on one product. The shift you'd otherwise notice a month late.
Every answer links to the conversations behind it. Read the actual exchanges rather than trusting a number.
Most of what customers tell you isn't a support issue, it's product feedback nobody transcribed. Backstage surfaces it for the rest of the team.
How can I capture more leads?
Got it, I drafted a procedure to help with this.
It saw how your team handled the hard cases, and turns them into a procedure your agent follows next time.
Suggested change
Tighten the refund rule so the agent checks the order date before offering a replacement.
Affects
See exactly what would change, what it affects and why, in plain English rather than a diff.
The questions your sources don't answer, and the ones only an action could. Each comes with a draft of the fix.
Not "resolution is down four points," but the exact instruction to tighten.
Every change runs against your saved scenarios, so it arrives with evidence.
Daily, weekdays or weekly, sent to Slack, iMessage or Backstage. What needs you, what's broken, what improved, and what changed since last time.
Describe what the agent should do and share the API docs. Backstage sets up the action, tests it against your real API, and turns it on.
What changed, when, and who approved it. Put the previous version back in one step.
Enhance Chatbase by simplifying workflows and linking your preferred apps, with fresh integrations added regularly.

100%
Official sourced answers
24/7
Citizen access to project info

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One agent across the whole platform. The same knowledge, the same brand voice, wherever the conversation goes.
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