01Memorising chapters
A journey built on real cases, at each student’s pace.
- Syllabus-aligned, frozen once set; the path adapts
- Examples from businesses students recognise
Understanding that lasts
InsightTeach-Back · AI commerce learning portal
AI tutor for commerce students Learn it. Then teach it back.
For colleges, universities and training institutes in commerce and finance. Each student gets a syllabus-aligned journey built from their profile and language; lessons use real cases — a café’s GST, a shop’s day book, a bank statement — and a Socratic assistant asks until the student can explain it in their own words.
- Personalised journey per student
- Socratic never does the work
- Every number from a tool
WhySound familiar?
Three things we hear in every first conversation.
From principals, heads of department and faculty in commerce and finance. Composite quotes from discovery calls — the problems are real; the names are left out.
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“Students memorise the chapter and forget it after the exam.”
Recall is tested, not understanding; real cases rarely appear in class.
Head of departmentKnowledge that does not last
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“AI tools just do the homework for them.”
Generic chatbots hand over answers, so assignments stop measuring anything.
FacultyAssignments that measure nothing
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“Sixty students, sixty different gaps, one lecture.”
Faculty cannot see who is stuck on what until the marks come in.
PrincipalGaps found too late
HowWhat changes with Teach-Back
The same three problems, on the screens that solve them.
Product screens with illustrative data. In a briefing we build one journey from your syllabus.
02AI that does the work
An assistant that asks until the student can explain it.
- Socratic coaching; graded work is never done for them
- Every number from a visible tool call
Assignments that mean something
03Gaps found at results
Gaps remembered and revised before the test.
- The assistant remembers what each student mixes up
- Ten-minute revisions on the phone, in their language
Gaps closed before the exam
FieldTeach-Back in the field
The people, the phone, the place.
The workplace it runs in, the person who uses it on a phone, the team at the desk and the detail it reads.
Photographs are illustrative — real customer sites are not shown.
- Per studentJourneybuilt from profile, pace and language
- SyllabusAlignedfrozen once set; journey adapts
- SocraticAssistantasks, hints, checks — never answers graded work
- ToolsFor every numbercalculators, rates, never mental maths
- VisibleMemorystudents see, edit and wipe it
- PrivateBy defaultno ID numbers or OTPs in prompts
01The screens
From a textbook chapter to a student who can explain it.
The journey, the teach-back studio and revision on the phone.
autowhat · Teach-Back / My journey
Illustrative data
A personalised path through the syllabus, with today’s lesson built on a real case.
Product screens with illustrative data — every name, place and figure is a placeholder.
02Before and after
Students memorise. Then forget after the exam.
Commerce is taught from textbooks and tested by recall; students rarely practise explaining a real case.
| Area | Today | With Teach-Back |
|---|---|---|
| Syllabus | Same pace for everyone | A journey built from each profile |
| Examples | Textbook abstractions | A café, a shop, a bank statement — from their city |
| AI | Does the homework | Asks until the student can explain it |
| Numbers | Guessed or copied | Every number from a tool |
| Progress | Marks only | Teach-backs passed, gaps remembered |
03Profile to mastery
Eight steps, from sign-up to a passed teach-back.
The assistant is a sparring partner, never a substitute: it coaches graded work and never does it.
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01
Profile
Onboarding
Course, semester, language and goals captured in minutes.
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02
Syllabus
Aligned
A syllabus-aligned plan generated and frozen.
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03
Journey
Personal
A path through it at the student’s pace, regenerated without changing the syllabus.
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04
Lesson
Real cases
Each topic taught on a real business case.
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05
Try
Practice
The student works it out with calculators and rate tables.
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06
Teach back
Socratic
The student explains; the assistant asks until the reasoning holds.
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07
Remember
Memory
Gaps remembered and scheduled for revision — visible to the student.
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08
Revise
Phone
Short revisions before tests, in the student’s language.
04The platform
Journey, studio, tools and memory.
A portal for students and a view for faculty on the same platform.
Learn · 4
- Personal journey
- Lessons on real cases
- Career paths
- Languages
Practise · 4
- Teach-back studio
- Case files
- Calculators
- Rate tables
Assistant · 4
- Socratic coaching
- Visible tool calls
- Shared memory
- Offline mode
Faculty · 4
- Cohort progress
- Gap heatmap
- Assignments
- Integrity rules
05How we deliver
One cohort, one semester.
Built around your syllabus and your faculty.
- Weeks 1–3 · MapSyllabus, assessment pattern and languages mapped with faculty.
- Weeks 3–6 · BuildJourneys, cases and teach-back rubrics set up for one course.
- Semester · RunOne cohort learning on the portal; faculty view live.
- Then · ScaleMore courses and colleges on the same platform.
MoreRelated Insight products
Often deployed with Teach-Back.
OverviewTeach-Back · AI tutor for commerce students
AI tutor for commerce students: how Teach-Back works
An AI tutor for commerce students is a learning portal that coaches students through topics such as accounts, GST and banking at their own pace. In Indian colleges, commerce is mostly taught from textbooks and tested by recall, so students memorise a chapter and forget it after the exam. Generic chatbots make it worse by handing over answers, and with sixty students in a lecture, faculty cannot see who is stuck on what until the marks come in.
Teach-Back builds each student a syllabus-aligned journey from their profile, pace and language. Lessons use real cases, such as a café's GST, a shop's day book or a bank statement. A Socratic assistant asks, hints and checks until the student can explain the idea in their own words; it coaches graded work but never does it, and every number comes from a visible calculator or rate table. Gaps are remembered and revised on the phone before tests.
Socratic AI tutor that asks instead of answering
The student explains; the assistant asks until the reasoning holds. It is a sparring partner, never a substitute, and never answers graded work.
Personalised learning journey for each commerce student
Course, semester, language and goals are captured at onboarding, and a path through the syllabus is built at the student's pace. The journey can be regenerated without changing the syllabus.
Syllabus-aligned AI learning platform for colleges
A syllabus-aligned plan is generated and frozen once set, mapped with faculty to the assessment pattern and languages. Faculty and students work on the same platform.
Case-based learning for commerce on real businesses
Each topic is taught on a real business case, such as a café's GST, a shop's day book or a bank statement, using examples from businesses students recognise.
AI and academic integrity: every number from a visible tool
Calculations come from calculators and rate tables through visible tool calls, never mental maths, and faculty can set integrity rules for assignments.
Teach-back revision and gap tracking for faculty
The assistant remembers what each student mixes up and schedules ten-minute revisions on the phone in their language. Faculty see cohort progress and a gap heatmap.
Who it is for
- Commerce and finance colleges and universities: students learn on real cases and must explain them, so understanding lasts beyond the exam.
- Heads of department and faculty: a cohort progress view and gap heatmap show who is stuck on what before the marks come in, and assignments still measure the student's own work.
- Training institutes in commerce and finance: syllabus-aligned journeys in the student's language, with short phone revisions before tests.
Read next
- Socratic AI Tutor for Commerce Students
- The Teach-Back Method for Students: How It Works
- Socratic AI Tutor vs Answer Chatbot for Students
- AI and Academic Integrity: A Checklist for Colleges
- Case-Based Teaching for Commerce: A Playbook
- Why an AI Tutor Should Never Do Mental Maths
- Students Should See What an AI Tutor Remembers
Teach-Back compared
| Manual / spreadsheets | Generic software | Teach-Back | |
|---|---|---|---|
| Pace | Same lecture for everyone | Fixed content library, same order for all | A journey built from each student's profile, pace and language |
| Examples | Textbook abstractions | Generic examples | Real cases: a café's GST, a shop's day book, a bank statement |
| Role of AI in homework | Not available, or students use answer chatbots on their own | Answers questions directly, so assignments can be done for the student | Socratic coaching; graded work is never done for the student |
| Numbers in answers | Worked by hand or copied | Can be generated by the model without showing how | Every number from a visible calculator or rate-table call |
| What faculty see | Marks after the exam | Completion and quiz scores | Teach-backs passed, gaps remembered, a cohort gap heatmap |
LearnTeach-Back guides and tools
Guides, playbooks and calculators for Teach-Back.
5 pages on the problems Teach-Back solves. See them all on one page →
FAQQuestions we get about Teach-Back
Straight answers, before the call.
Teach-Back is a personalised AI learning portal for commerce students. Short, factual answers for buyers, procurement and the assistants people ask first.
In short. Teach-Back is a personalised AI learning portal for commerce students. It is built for principals, heads of department and faculty in commerce and finance. It exists to remove the problems those teams describe in almost every first conversation: chapters memorised and forgotten after the exam; AI tools that simply do the homework; and every student's gaps invisible until results. With Teach-Back, teams get a journey on real cases at each student's pace, teach-back coaching with every number from a visible tool, and gaps remembered and revised before tests. It connects to DeepSeek / open models, Syllabus mapping, Calculators & rate tables and Faculty view, is used by Students · faculty, and runs on web + mobile. Like every Autowhat AI product, Teach-Back goes live on one site, lane or process first, usually within weeks, on managed cloud, in your own VPC or on-premises, and shares one operational record with the other products, so the second deployment reuses the data and integrations of the first.
What is an AI tutor for commerce students?
A learning portal that coaches commerce students through topics like accounts, GST and banking at their own pace. Teach-Back does this with syllabus-aligned journeys built on real business cases and a Socratic assistant that asks until the student can explain the topic.
What is a Socratic AI tutor?
An AI tutor that asks guiding questions instead of giving answers. In Teach-Back, the student explains a topic and the assistant asks, hints and checks until the reasoning holds; it never answers graded work.
How does the teach-back method work for students?
The student learns a topic, then explains it back in their own words. Teach-Back runs this as eight steps, from profile and syllabus to a lesson on a real case, practice with calculators, the teach-back itself, remembered gaps and short phone revisions.
Socratic AI tutor vs answer chatbot: which is better for colleges?
An answer chatbot hands over solutions, so assignments stop measuring anything. A Socratic tutor like Teach-Back coaches the student to the answer, never does graded work, and draws every number from a visible tool, which keeps assignments meaningful.
Does Teach-Back work in Indian languages?
Yes. The student's language is captured at onboarding, and lessons and ten-minute revisions on the phone are delivered in it. Languages are mapped with faculty when the course is set up.
How much does an AI tutor like Teach-Back cost for a college?
Teach-Back is priced per deployment after a 30-minute working session on your own syllabus; there is no public list price. Delivery usually starts with one cohort for one semester.
What do faculty see in an AI tutor, and how is student data kept private?
Faculty see cohort progress, the teach-backs each student has passed and a gap heatmap showing where the class is stuck, so they can step in before the marks come in. Student data is private by default: no ID numbers or OTPs go into prompts, remembered gaps are visible to the student, and the college chooses where the data is hosted.
Who is Teach-Back for?
Principals, heads of department and faculty in commerce and finance. A personalised AI learning portal for commerce students.
What problems does Teach-Back remove?
Chapters memorised and forgotten after the exam; AI tools that simply do the homework; every student's gaps invisible until results.
What do we get with Teach-Back?
A journey on real cases at each student's pace; teach-back coaching with every number from a visible tool; gaps remembered and revised before tests.
What does Teach-Back connect to, and who uses it?
It connects to DeepSeek / open models, Syllabus mapping, Calculators & rate tables, Faculty view. Users: Students · faculty. Channel: Web + mobile.
Where does Teach-Back run, and who owns the data?
On managed cloud, in your own VPC (AWS, Azure or GCP) or on-premises, with your keys. SOC 2 Type II and ISO 27001 controls, India data residency when required, and local or open-weight models when policy demands it. The data stays yours.
06Briefing
Bring one paper from your syllabus. We’ll build its first journey with you.
A working session with your faculty: one paper, one real case, one teach-back rubric.