A lead that waits until tomorrow is a lead that bought from someone else today.
StudioChat clones how the team's best closer already qualifies, handles objections, and closes, and runs it 24/7 on whatever channel the lead is already using.
Every task in the sales conversation, handled with AI.
Leads message at 11pm, ask the same five questions, and go cold if the reply takes too long.
Instant first response
Answers the moment a lead messages — on WhatsApp, Instagram, or web chat — no queue, no missed window.
Lead qualification
Scores fit and intent in the first exchange, so your reps spend time on leads that convert.
Objection handling
Answers pricing, comparison, and "why you" questions the way your best closer already does.
Product & catalog questions
Knows your full catalog, course list, or inventory cold — no escalation needed.
Meeting & demo scheduling
Books calls or test drives directly into your team's calendar.
CRM logging
Logs every qualified lead and conversation to your CRM automatically.
Outbound follow-up
Re-engages leads that went quiet, at the right cadence.
Handoff to a closer
Passes hot leads to a human rep with full context the moment it matters.
Not another lead-gen chatbot. Your best closer, cloned.
Most sales bots run a scripted qualification flow that breaks the moment a lead goes off-script. We start from the person on your team who already closes well, and clone the whole conversation — not just the FAQ.
Trained on your real sales playbook, not a script.
We capture how the best closer actually qualifies, handles objections, and closes — tone included — and layer in the best practices we've seen across sales, by industry.
Covers the whole conversation, inbound or outbound.
From first response to CRM logging to re-engaging a cold lead — one assistant, not a patchwork of point tools.
Every task handled with AI, on every channel where leads already show up.
WhatsApp, Instagram, email, and web chat — the same assistant, the same context, on whichever channel the lead is already using.
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.
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.
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.
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.
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.
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.
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.
"StudioChat became our best salesperson — available 24/7, knows every course inside and out, and the ROI was immediate."
Questions sales teams actually ask.
What exactly does the sales assistant handle?
It can handle any task in the sales conversation — for example: instant first response, lead qualification, objection handling, product/catalog questions, meeting scheduling, CRM logging, outbound follow-up, and handoff to a human closer when a lead is ready. Actual coverage depends on the playbook it's trained on, not a fixed list.
Does it replace our CRM?
No. It logs every conversation and qualified lead into the CRM you already use — HubSpot, Salesforce, whichever — as a non-human rep, not a replacement platform.
Does it work for outbound, not just inbound replies?
Yes — outbound lead outreach and qualification at scale is a real deployment too (see Mudafy's real-estate lead qualification), alongside inbound WhatsApp response.
How is it priced?
Outcome-based: you pay per resolved task — a qualified lead or a closed sale — not per seat, not for setup.
Do you have a reference customer for sales?
Yes — Coderhouse, LatAm's largest edtech, runs its WhatsApp sales process on StudioChat with 80%+ autonomous resolution and 5% inquiry-to-sale conversion on the WhatsApp channel.