FOR ANY FUNCTION

Someone is already the best at every function on the team. That's the person we clone.

Sales, support, and compliance are just three examples — the same mechanism applies to onboarding, collections, renewals, internal support, surveys, recruiting, or any conversational function on the team, customer-facing or internal. We help identify where an AI agent belongs, or how to improve one that already exists.

$0.50–$2.37
per AI-resolved task
vs. $6–$12 for a person on the same task — 2026 industry benchmarks (Lorikeet)
74%
of customers say repeating themselves is "extremely frustrating"
Zendesk CX Trends 2026
64%
trust a warm, empathetic AI agent more than a generic one
Zendesk CX Trends 2025
ANY CONVERSATIONAL FUNCTION

Every task in any function, handled with AI.

These are illustrative — not the only functions we cover. If a person is already resolving it over chat, email, or forms, we can likely clone it.

Customer onboarding

Guides activation and setup steps, and confirms when the customer is ready to use the product.

Collections & payment reminders

Reminds about due dates, negotiates payment plans, and confirms agreements — with the same judgment the collections team already uses.

Renewals & retention

Detects an upcoming renewal, offers the right plan, and handles cancellation objections.

Internal IT & HR support

Resolves the team's own requests — access, licenses, internal policies — before they reach a person.

Surveys & feedback

Collects NPS or CSAT after an interaction, and digs into negative responses before closing them out.

Recruiting & screening

Screens candidates with the right questions, schedules interviews, and keeps candidates updated at every stage.

Scheduling & coordination

Books, reschedules, and confirms appointments directly on the team's calendar, in any industry.

Data collection & forms

Completes a request or registration end to end in a conversation, instead of a long form.

Internal knowledge lookup

Answers process or policy questions from the same source the team already uses — no digging through five documents.

WHY NOW, WHY STUDIOCHAT

Not a bot built for selling or support. A clone of the best person, for any function.

We don't start from a template built for one specific function. We start from how the best person on the team already resolves that particular task, and clone exactly that — whether it's onboarding, collections, or anything else.

Clone

Trained on the team's real conversations, not a function template.

We capture how the best person on the team actually resolves the task — tone, judgment and all — regardless of which function it is.

Omnichannel

Every task handled with AI, on any channel.

WhatsApp, email, web chat, or your own app — the same assistant, the same context, on whichever channel is already in use.

Outcome-based

You pay per task resolved, not per seat.

No setup costs, no hidden integration fees — pricing aligned to results from day one.

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.

TEST IT BEFORE DECIDING

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.

AGENT SECURITY — BY DESIGN

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.

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.

INFRASTRUCTURE SECURITY

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.

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.

PROOF, NOT PROMISES
Takenos logo

"We managed to cut ticket handling time down to just one minute, without losing the judgment the team already used to solve it."

Takenos CX Team
Customer Experience · Financial Services · LATAM
Visit takenos.com
FREQUENTLY ASKED

Questions from teams looking for something beyond sales or support.

What other functions can you automate besides sales, support, and compliance?

Any function that's conversational, moves documents or information, or includes a step where a person is involved — for example: onboarding, collections, renewals, internal IT or HR support, surveys, recruiting, scheduling, and data collection. Actual coverage depends on what the team already handles today, not a fixed list.

Does the function need to already be well defined?

It helps, but isn't required. We start from how the best person already handles the task today — documented process or not — and build and refine from there.

Can it combine multiple functions in one assistant?

Yes. The same assistant can cover several functions at once — for example, sales and onboarding, or support and satisfaction surveys — if that's how the team already runs it.

How is it priced?

Outcome-based: you pay per resolved task, not per seat, not for setup.

Do you have a reference customer?

Yes — Takenos, a LatAm digital banking platform, proves the mechanism in production: the same assistant resolves 70% of its support autonomously, keeping the judgment the team already applied. The same approach applies to any other conversational function.

The playbook already exists. We multiply it.