FOR COMPLIANCE & RISK TEAMS
KYC, disputes and credentials with the best analyst cloned: policy to the letter, every conversation audited.
ACME Capital
Rita · assistant · online
Running in production for
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.
The two flows where one exception costs dearly: identity verification and credential recovery. Followed to the letter, or not followed at all.
Guides the user through identity verification steps and flags missing documentation — never approves on its own.
Password and 2FA reset flows that follow your verification policy exactly, every time.
Fraud & risk flagging: Flags suspicious patterns and escalates immediately — it never attempts to resolve those alone.
Dispute & chargeback intake: Captures every required field before a human reviews it — no back-and-forth to get the basics.
Regulatory FAQ: Answers terms, fees, and rights disclosures consistently — the approved wording, not improvisation.
Data & account requests: Handles data access or deletion requests according to your policy and logs the outcome.
Every conversation, action, and decision is logged and retrievable end to end.
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.
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.
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.
