FOR FINANCIAL SERVICES
The best financial services agent, cloned — same rules, same judgment, available 24/7.
ACME Pay
Sofi · 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.”
From a routine balance inquiry to a fraud dispute, the same customer expects the same careful, policy-compliant answer, every time.
The onboarding where most people drop off: the identity check that stalls on one document, and the first payee that has to be added.
Walks the user through identity verification steps and flags missing documentation.
Walks the user through adding a transfer recipient per the current verification policy.
Balance and transaction inquiries: Pulls live account data to answer instantly — no ticket, no wait.
Loan and credit questions: Answers eligibility, rate, and terms questions consistently, every time.
Card block and replacement: Handles a lost or stolen card report and starts the replacement flow immediately.
Disputes and chargebacks: Captures every required field and transaction detail before a human reviews it.
Suggests the right product at the right moment, in the same conversation.
Hands off with full context the moment a case falls outside its scope.
Most financial services bots handle a narrow FAQ and hand off everything else. We start from the person on the team who already handles the full range of account cases well, and clone how they actually think.
We capture how the best agent actually resolves an account case — tone and judgment included.
Every conversation is logged end to end, and anything outside the defined rules hands off immediately.
WhatsApp, web chat, email, and voice — the same assistant, the same context, on whichever channel the user is already using.
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.
All kinds: balance and transaction inquiries, card block and replacement, disputes and chargebacks, KYC verification, loan and credit questions, adding beneficiaries, and more. Where the agent's scope ends and a human takes over is something we define together, based on policy and the risk level of each case.
It walks the user through the required steps and flags what's missing — the final approval decision stays with the team, and every step is logged for audit.
No. It connects to whatever systems and helpdesk are already in use, as a non-human agent, pulling live data through the relevant APIs.
Both. We've already built custom integrations with proprietary systems and closed core banking platforms, in addition to standard integrations (helpdesk, CRM, WhatsApp). Cost depends on complexity: it's scoped before starting, case by case.
Outcome-based: priced per task resolved, not per seat, not for setup.
Yes, several — including Takenos, Lemon, Belo, and Rebill already run their financial services customer support on StudioChat. Takenos resolves 70% of its support autonomously with an assistant that covers more than 20 use cases.