KYC steps, dispute intake, credential recovery — regulated tickets can't afford improvisation. StudioChat clones how the best analyst already follows policy to the letter, keeps a full audit trail on every conversation, and escalates the moment something falls outside the defined rules.
Regulated tickets don't get to be improvised — and a human reviewer shouldn't have to re-read the whole conversation to know what happened.
Guides the user through identity verification steps and flags missing documentation — never approves on its own.
Captures every required field before a human reviews it — no back-and-forth to get the basics.
Every conversation, action, and decision is logged and retrievable end to end.
Flags suspicious patterns and escalates immediately — it never attempts to resolve those alone.
Password and 2FA reset flows that follow your verification policy exactly, every time.
Answers terms, fees, and rights disclosures consistently — the approved wording, not improvisation.
Handles data access or deletion requests according to your policy and logs the outcome.
Anything outside the bounds you define goes straight to a human — no exceptions, no freelancing.
Generic AI support tools optimize for resolving everything themselves. In a regulated context that's a liability, not a feature — we optimize for following your policy exactly and leaving a clean trail behind.
We capture how your best analyst actually applies policy — including when they escalate — not a generic compliance script.
The agent operates only within the rules you set, and hands off the moment a case falls outside them.
Full history, data pulled, and actions taken are logged for every case — nothing to reconstruct after the fact.
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.
We can host the guardrail we use today so your security team can test it directly, instead of taking our word for it.
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.
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.
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 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.
"Billy is a support assistant that handles every incoming ticket via email, providing account opening info, KYB status, and billing status."
No tool can guarantee compliance on its own — that call belongs to your legal and compliance team. What StudioChat provides is strict guardrails (defined escalation rules, no freelancing outside policy) and a full audit trail on every conversation, so your team can review and sign off on what happened.
It escalates immediately to a human with full context — the agent never attempts to resolve a case outside its defined scope.
It guides the user through the verification steps and flags what's missing — final approval decisions stay with your team, per your policy.
Outcome-based: you pay per resolved task, not per seat, not for setup.
Yes — Rebill (B2B payments) runs account-opening status, KYB progress and billing through a StudioChat assistant integrated into their existing helpdesk.