FOR SALES TEAMS
The team's best closer, cloned: qualifies, handles objections, closes — on the lead's channel.
ACME Motors
Fede · assistant · online
Running in production for
“StudioChat became our best salesperson — available 24/7, knows every course inside out, and the ROI was immediate.”
Leads message at 11pm, ask the same five questions, and go cold if the reply takes too long.
The first two minutes decide the sale. The reply goes out on the spot and fit and intent get scored right there, so the team opens the day on the lead that’s worth it.
Answers the moment a lead messages — on WhatsApp, Instagram, or web chat — no queue, no missed window.
Scores fit and intent in the first exchange, so your reps spend time on leads that convert.
Product & catalog questions: Knows your full catalog, course list, or inventory cold — no escalation needed.
Objection handling: Answers pricing, comparison, and "why you" questions the way your best closer already does.
Meeting & demo scheduling: Books calls or test drives directly into your team's calendar.
Handoff to a closer: Passes hot leads to a human rep with full context the moment it matters.
Logs every qualified lead and conversation to your CRM automatically.
Re-engages leads that went quiet, at the right cadence.
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.
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.
From first response to CRM logging to re-engaging a cold lead — one assistant, not a patchwork of point tools.
WhatsApp, Instagram, email, and web chat — the same assistant, the same context, on whichever channel the lead 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.
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.
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.
Yes — outbound lead outreach and qualification at scale is a real deployment too (see Mudafy's real-estate lead qualification), alongside inbound WhatsApp response.
Outcome-based: you pay per resolved task — a qualified lead or a closed sale — not per seat, not for setup.
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.