Every repeated question is a customer losing patience, and an agent losing time.
StudioChat clones how the best support rep already resolves tickets — tone, judgment and all — and runs it 24/7 across whatever channel the customer is already using.
Support tickets don't wait for business hours.
The same five questions, at every hour, across every channel — while your best reps burn time on tickets a clone of themselves could resolve.
Account access & password resets
Verifies identity and resolves access issues without a human ever touching the ticket.
Order & service status
Pulls live data from your systems to answer status questions instantly.
Technical troubleshooting
Walks through diagnostic steps and resolves what it can before escalating.
Billing & invoice questions
Answers billing questions and pulls invoices from your systems directly.
Complaint intake
Flags negative sentiment automatically and routes it with the right urgency.
WhatsApp, email, and more channels
One consistent voice and knowledge base regardless of channel.
Peak-volume spikes
Absorbs a support spike without overtime or seasonal hiring.
Clean handoff to a human
Passes the full conversation history and attempted actions the moment a human is needed.
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.
Not another FAQ bot. Your best support rep, cloned.
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.
Trained on the team's real tickets, not a generic template.
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.
One assistant, every scenario.
Access issues, billing, troubleshooting, and complaints in one assistant instead of a patchwork of bots per topic.
Support doesn't wait for business hours, and neither do we.
24/7 across every channel, absorbing peak volume without a seasonal hiring plan.
Security at every layer, from the model to the client's data.
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 protective layer around the model.
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.
The same guardrail running in production, available to test.
We can host the guardrail we use today so your security team can test it directly, instead of taking our word for it.
The model never sees another user's data.
The logic that decides what information to bring into each conversation lives in code, not in the model — it's not a guardrail, it's the default architecture. A deterministic agent can't cross data between users or reach beyond what belongs to that conversation.
The client decides what information reaches StudioChat.
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 standards you'd expect from a cloud platform.
Encryption in transit and at rest, retention configurable by the client, two-factor authentication for every user, and full traceability of every change made to an assistant — versioned, with a record of who did it.
The agent explains what it does, why, and where each fact comes from.
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.
"We managed to cut ticket handling time down to just one minute, without losing the judgment the team already used to solve it."
Questions support teams actually ask.
What kinds of tickets can it actually resolve?
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.
How is this different from a scripted chatbot?
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.
Does it replace our helpdesk?
No. StudioChat plugs into the helpdesk you already run — Intercom, Zendesk, Pylon, whichever — as a non-human agent, not a replacement platform.
How is it priced?
Outcome-based: you pay per resolved ticket, not per seat, not for setup.
Do you have a reference customer for support?
Yes — Takenos, a LatAm digital banking platform, resolves 70% of support autonomously with a StudioChat assistant covering 20+ scenarios across their mobile apps.