A course question at midnight is an enrollment tomorrow, or already lost to a competitor.
The best enrollment advisor, cloned — answers courses, pricing, scholarships and formats, and turns the inquiry into an enrollment on whichever channel is already in use.
Every task in the student journey, handled with AI — not just before enrollment.
From the first inquiry to reactivating a former student — reactive and proactive sales, support for students mid-course, and questions from the teaching staff, all with the same assistant.
Course catalog questions
Knows your full course list, syllabus and formats cold — no escalation needed.
Pricing & payment plans
Answers pricing, installments and financing options consistently, every time.
Demo class scheduling
Books a trial class or info session directly into the team's calendar.
Enrollment process
Walks a prospective student through the steps to actually enroll.
Scholarships & discounts
Explains eligibility and application steps for available discounts.
Certifications & job outcomes
Answers questions about certification value and employability outcomes.
CRM logging
Logs every qualified lead and conversation into the CRM automatically.
Follow-up sequences
Re-engages leads that went cold and relaunches campaigns to former students — reactive when they ask, proactive when it's time to re-engage.
Upselling to alumni
Detects when a former student is ready for the next course or certification, and sends the offer at the right moment — not a generic blast to the whole list.
Student support during the course
Answers coursework questions, deadlines, and material access while the course is running — not just before enrollment.
Tutor and teacher support
Handles operational questions from the teaching staff — virtual classroom access, schedules, payments — with the same judgment the academic team already applies.
Not another course-catalog chatbot. The best advisor, cloned.
Most edtech bots answer a static FAQ and stop there. We start from the person on the team who already turns inquiries into enrollments, and clone the whole sales conversation.
Trained on the team's real sales playbook, not a script.
We capture how the best advisor actually qualifies, answers objections and closes — tone included.
Covers everything from the first inquiry to well after graduation.
Course questions, enrollment, support during the course, upselling to alumni, questions from teaching staff, and CRM logging — one assistant, not a patchwork of tools.
Every task handled with AI, on every channel where people already enroll.
WhatsApp, Instagram, email, and web chat — the same assistant, the same context, on whichever channel the prospective student 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 edtech teams actually ask.
What exactly does the assistant handle?
Handles every conversational process and task end to end — including back-and-forth document exchange —, for example: course catalog questions, pricing and payment plans, demo class scheduling, the enrollment process, scholarships, certification questions, CRM logging, and follow-up.
Does it replace our CRM or LMS?
No. It logs every qualified lead and conversation into the CRM already in use, as a non-human agent.
Can it handle sales, student support, and teacher support?
Yes. The same assistant sells both reactively and proactively — reactive when it answers an inquiry, proactive when it re-engages a former student or launches a new cohort —, supports students before, during, and after the course, and handles operational questions from the teaching staff. All with the same clone-your-best-person mechanism.
How is it priced?
Outcome-based: you pay per resolved task — a qualified lead or an enrollment — not per seat, not for setup.
Do you have a reference customer in education?
Yes — Coderhouse, LatAm's largest edtech, sells over WhatsApp with StudioChat, and also uses it for student and tutor support, with 80%+ autonomous resolution and 100% of conversations answered instantly, across 20+ countries.