“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 entire post-sale journey is handled by Eva, our StudioChat assistant, connected to Amazon, Mercado Libre, our official store and WhatsApp. The team now focuses on the cases that truly need them.”
Assistants that think like the team. And talk like the team.
Knowledge bases in any format.
Knowledge bases in whatever format already exists — text, documents, PDFs, images, floor plans — plus the team's internal APIs. The assistant pulls the information it needs, in whatever format it's in, before responding.
Skills that improve the quality of every response.
Every situation — deposits, withdrawals, KYC, account changes — gets handled with a skill trained on the playbook the team already validated. SAMI, StudioChat's own agent, helps improve them over time.
Examples to clone the tone.
Starting from real examples from the best agent, the assistant captures how it opens, how it reassures, how it closes — and replicates that voice in every conversation.
Connected to the team's tools.
Create tickets in Intercom, send Slack alerts, open tasks — the assistant acts on the company's systems in real time, not just replies.
Multiple interfaces for the same assistants.
Same brain, different channels. The assistant keeps context and a consistent voice in every conversation — whether it's chat, email, or a call.
Mobile SDKIn-app chatMessaging appsEmailVoice
We plug into whatever tool is already in use, as one more agent, but a non-human one.
+ other tools
The team defines when to hand off.
When the customer asks for it, when a condition the team defined triggers, or when the assistant can't help — the conversation moves to the human team with full context.
Explicit customer request
Negative sentiment or frustration
Skills not covered by the assistant
VIP or critical accounts
Can I talk to a person? I'd rather sort this out over the phone.
IA
Of course! I'm handing you to Andrés from the team — he already has your full case.
Humano
Hi, I'm Andrés 👋 I can see your refund R-2210 is approved. Want me to call you now and close this out?
Solo or as part of a team
The agent can operate on its own, or as one more member of the human team, handing off exactly when it should.
Horizontal or vertical
Covers the first steps of several processes (horizontal), or owns one process end to end (vertical) — whichever fits.
AGENT SECURITY
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.
LLM SECURITY — GUARDRAILS
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.
CLIENT CONTROL
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.
AGENT TRANSPARENCY
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.
Pay for results.
Outcome-based
What is outcome-based pricing?
Our pricing is tied to a business KPI — sales conversion, retention, autonomous resolution, whatever matters. Same incentive, same outcome.
StudioChat builds and runs AI agents for every kind of interaction with people — sales and customer support for people outside the organization, or even internal company processes. The agent clones how a company's best talent already works — their tone, their playbook, and their judgment — and runs 24/7 across mobile SDK, in-app chat, WhatsApp, email, and voice.
Most AI tools sell a generic chatbot and leave the team to build it alone. StudioChat captures how the best talent already talks and decides — using existing transcripts, knowledge bases, and playbooks — and delivers an agent that takes real action through the business's APIs, not just answers questions. We're also there for the whole process: it's not hiring StudioChat and being left alone to build and train the agent.
Mobile SDK (native chat inside the app), in-app chat (web widget), messaging apps (WhatsApp Business), email, and voice. The same agent keeps one voice and knowledge base across every channel. In practice, it runs on any platform already in use, as long as it allows integrations.
No. StudioChat connects to whichever helpdesk is already in use, as a non-human agent. We're not an omnichannel platform — we live inside the one already chosen.
It's triggered by an explicit customer request, negative sentiment, a skill outside its scope, or a VIP/critical account. The human gets the full conversation history, the data consulted, and the actions attempted, so they can pick up exactly where the agent left off.
Outcome-based: it's priced per task resolved — a resolved conversation, a qualified lead, or the sale of a product or service. Pricing is tied to business KPIs — conversion, retention, autonomous resolution — instead of headcount.
Built-in conversational metrics (sentiment, automation quality, recontact risk, CSAT/DSAT, autonomous resolution) plus whatever product KPIs get connected — sales conversion, churn, retention, NPS, activation — tied to every conversation. Reports can also be scheduled at whatever frequency is needed, delivered by email, WhatsApp, or whichever channel is preferred.
Book a meeting with the team at https://cal.com/studiochat, or write to hey@studiochat.io.