FOR SUPPORT TEAMS
The best support rep, cloned with their tone and judgment, resolving 24/7 on every channel.
ACME Telecom
Lu · assistant · online
Running in production for
“Joaquina resolves 70% of conversations on her own, but what we value most is the follow-up they give us as clients and the personalized attention — they adapt to whatever the team needs.”
The same five questions, at every hour, across every channel — while your best reps burn time on tickets a clone of themselves could resolve.
The tickets that arrive already answerable: I can't get into my account, where is my order, why was I charged this. Answered from live data, without anyone touching them.
Verifies identity and resolves access issues without a human ever touching the ticket.
Pulls live data from your systems to answer status questions instantly.
Answers billing questions and pulls invoices from your systems directly.
Technical troubleshooting: Walks through diagnostic steps and resolves what it can before escalating.
Text, voice notes, and files, in the same conversation: Reads text, transcribes voice notes to respond, and accepts any file type — screenshots, PDFs, receipts — without asking the customer to retype what they already sent.
Complaint intake: Flags negative sentiment automatically and routes it with the right urgency.
Clean handoff to a human: Passes the full conversation history and attempted actions the moment a human is needed.
One consistent voice and knowledge base regardless of channel.
Absorbs a support spike without overtime or seasonal hiring.
Most support AI is a scripted decision tree that breaks the moment a question doesn't match a template. We start from the person on your team who already resolves tickets well, and clone how they actually think.
We capture how the best rep actually resolves a ticket — tone, judgment, and the off-script moves — and layer in the best practices we've seen across support, by industry and by process type.
Access issues, billing, troubleshooting, and complaints in one assistant instead of a patchwork of bots per topic.
24/7 across every channel, absorbing peak volume without a seasonal hiring plan.
LLM security, agent security, client control, and infrastructure aren't the same layer — each protects something different, and the agent leaves a trail of everything it does along the way.
A language model can make the wrong call — delete something it shouldn't, invent data that doesn't exist (like a bank account number), or let spend spiral out of control. Guardrails validate what the agent is about to answer before it answers, automatically or manually, covering hallucinations and prompt injection.
Every integration goes through a middleware layer the client configures — StudioChat can't see the data the client chooses not to share. Control stays on the client's side, by design.
The most common fear is that the agent does something and no one finds out. That's why every answer comes with its reasoning and its citations — no black box acting without leaving a trace.
It can handle any kind of situation the team already resolves over chat, not a fixed list — for example: account access, password resets, order/service status, billing questions, technical troubleshooting, and complaint intake. Actual coverage depends on the playbooks and knowledge it's trained on, not a closed list.
Scripted bots follow a decision tree and break the moment a question doesn't match. StudioChat clones how your best support rep actually thinks and talks, using your real tickets and knowledge base.
No. StudioChat plugs into the helpdesk you already run — Intercom, Zendesk, Pylon, whichever — as a non-human agent, not a replacement platform.
Outcome-based: you pay per resolved ticket, not per seat, not for setup.
Yes — Takenos, a LatAm digital banking platform, resolves 70% of support autonomously with a StudioChat assistant covering 20+ scenarios across their mobile apps.