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AI automation for online courses

AI automation for online course creators and academies

A course business grows by adding students, and every student adds support questions, reminders and edge cases. We automate the repetitive parts of the student journey so you spend your time teaching and selling.

Projects from $1,500$30 an hourFixed quote after a short call

350+ businesses served since 2018 · Offices in Pune, Coventry and New York

How it works

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In short

Liftup Technologies builds AI automation for online course businesses on platforms such as Teachable, Thinkific, Kajabi and Podia: onboarding and access, progress-based reminders, support triage, drafted feedback on assignments, refund and payment-failure handling, and repurposing lessons into emails and posts. You stay in control of every grade and every refund decision. Projects start at $1,500 with a fixed quote after a short call.

Where course businesses lose students and time

Most course revenue is made at the sale, and most course value is lost between week one and week three, when students stall. At the same time, the creator is answering the same login, access and invoice questions over and over. Both problems are process problems.

Good automation does two things: it nudges the right student at the right moment, and it takes routine support off your plate so real questions get answered faster.

A course with five hundred students and a two percent support rate still generates ten tickets a week, and the creator is often the only person who can answer them. Automation lets a one-person academy behave like a team without hiring one, and it gives a larger academy a consistent voice. Our broader education automation page covers schools and training providers that run on a calendar rather than on a self-paced course.

The student journey and what to automate

MomentTypical problemAutomationYou handle
PurchaseAccess email lands in spam, wrong account usedWelcome sequence across email and WhatsApp, access check, one-click resendEdge cases with payment disputes
First weekStudent never starts lesson oneReminder when no lesson is opened after three days, with a short first taskPersonal note for high-ticket students
Mid-course stallProgress stops at a hard moduleProgress-based message that links the specific lesson and a short FAQLive help for those who reply
AssignmentsFeedback queue grows and students waitDraft feedback against your rubric for you to edit and sendGrades and final comments
Support inboxLogin, refund and access questions repeatTagged and answered from your help pages, with a human handoffAnything unusual or emotional
CompletionCertificate and testimonial request forgottenCertificate generated, review request sent after the final lessonChoosing which stories to publish

A common first project is the stalled-student sequence, since it ties directly to completion rates and refund requests.

What we build

  • Webhook-driven flows between your course platform, payment provider, email tool and community, built in n8n, Make or Zapier.
  • A rubric-based feedback drafter: it reads a student's submission, applies your criteria and writes a draft with specific comments. You edit before sending.
  • A support triage layer that reads incoming messages, tags them and answers the clear-cut ones from your documentation.
  • A content repurposing flow that turns a lesson transcript into an email, a short post and a quiz draft for your review.
  • A weekly dashboard of enrollments, stalls, refunds and support volume.

Community spaces such as Circle or Discord can be included. A light moderation helper can flag spam and unanswered questions for a moderator, and a weekly digest can surface the best threads to bring lapsed students back.

Rather have us do this for you?A short call, a written plan and a fixed quote.

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Rules for selling and teaching online

The FTC expects earnings claims in advertising to be truthful and backed up, which matters if your course promises income. Automated sales emails must carry your real postal address and a working unsubscribe link, and the same is true under privacy rules for European and UK students. If you sell to children, special rules apply. Check these with your lawyer before launch.

For graded or accredited courses, your awarding body may restrict how marking is assisted. We build the feedback drafter as a helper and never as an automatic grader unless your rules allow that.

How the project runs

  1. Map the journeyWe export your last cohort's data and find where students stop.
  2. Build one sequenceUsually the stall reminder, tested on a small group.
  3. Add support and feedbackOnce the first flow runs cleanly, we add triage or the feedback drafter.
  4. MeasureWe compare completion and refund numbers for the next cohort against the previous one.

Our team in Pune works across time zones and schedules calls for your launch windows in the US, UK, Australia or Ireland.

Price

Projects start at $1,500 and our rate is $30 an hour. A single stall-and-reminder flow fits near that base. Multiple platforms, a feedback drafter tuned to your rubric and a support layer add scope. See AI automation costs for the factors and ask for a fixed quote within one working day.

Sources: FTC: Business guidance, ICO: UK GDPR guidance for organisations.

Updated 8 November 2026

Questions, answered

Which course platforms do you work with?
Teachable, Thinkific, Kajabi, Podia, LearnWorlds and custom WordPress setups are common. We check which webhooks and APIs your plan includes before quoting.
Can AI give feedback on student work?
It can draft comments against a rubric you write. You review and send them. We advise against automatic grading for anything that affects certification.
Will students know it is automated?
Messages can say so. Many creators label support answers as automated with a clear route to a person, which builds trust.
Can it help me launch the next cohort?
Yes. Waitlist emails, early-bird reminders and post-sale onboarding can all be scheduled and personalized by cohort.
What does it do about refund requests?
It can collect the reason and check the purchase date against your policy, then pass the case to you with a recommendation. The refund decision stays with you.

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