Guest session · Digital Entrepreneurship Nottingham University Business School
From a classroom problem to a digital innovation
How My Smart Teach is helping to transform assessment and learning
Dr Sharzad Majlesi
Entrepreneur · CEO & Co-founder, Unique Tech Solution Ltd Creator of My Smart Teach
November 2026
Today's session
By the end of this session, you should be able to…
01
Explain how a real-life problem can become a digital venture
02
Connect my journey to your lecture: digital entrepreneurship, the AI economy, external enablers, AI business models and the reputation economy
03
Understand what it really takes to bring a digital innovation into people's hands
Your question: Dr Noke asked you to bring one question about my journey or my business. Keep it ready: we will answer it at the end.
Quick question: Who has ever waited a long time for feedback on their work? How did it feel?
Who am I?
Teacher, researcher and entrepreneur
My path was not a straight line, and that became my strength.
Physics
BSc Engineering Physics, Sharif University of Technology
Teacher
Physics & maths · 1,500+ students · Best Teacher award
Industry
Operations, finance (CFO) and staff training
Entrepreneur
Co-founded two companies (2006 and 2015)
Business & research
MBA (Distinction) & PhD in Financial Technology, University of Nottingham
AI in education
Research, University of Birmingham
Today
CEO & co-founder, Unique Tech Solution (2024) · Creator of My Smart Teach
“Every stage gave me a tool I use today.”
Lecture link Entrepreneurs bring together different knowledge and experience
Why education needs change
Teachers need time, and students need feedback
Teachers' time is under pressure
Marking, feedback and administration take many hours every week, often in the evenings and at weekends
Heavy workload is one of the main reasons teachers give for leaving the profession
When a teacher leaves, students lose experience, relationships and continuity
Source: Department for Education, Working Lives of Teachers and Leaders survey
Feedback drives deep learning
Timely, specific feedback is one of the most powerful influences on learning
Good feedback explains why, not only what, and this builds deep understanding
Late or general feedback arrives when students have already moved on
Source: Hattie & Timperley (2007), The Power of Feedback
The question for innovators: How can digital technology give teachers back their time, and give every student better feedback?
Lecture link AI as a General Purpose Technology: like electricity, it reshapes whole sectors, including education
Digital entrepreneurship in practice
From paper to digital: My Smart Teach as an example
“a subcategory of entrepreneurship in which some or all of what would be physical in a traditional organization has been digitized” — Hull et al. (2007)
Traditional marking (physical)
With My Smart Teach (digital)
Piles of paper scripts carried home
→
Photo or scan uploaded in minutes
Teacher marks each page by hand
→
AI suggests marks against the teacher's own mark scheme
Short comments, often days or weeks later
→
Personalised feedback on every question, quickly
Marks written in a notebook or spreadsheet
→
Automatic progress data and learning gaps
Teacher decides
→
Teacher still decides: reviews, edits, approves
Lecture link Hull et al. (2007); Kraus et al. (2019): moving an asset or service into digital form
Why now?
The problem is old. The technology that solves it is new.
1990s
I live the problem as a teacher. No computer can read handwriting, maths working or diagrams.
about 30 years
Today
AI reads images and handwriting. Generative AI explains and gives feedback.
ChatGPT reached 100 million users in about 2 months, faster than any technology before
Four waves of the digital economy (from your lecture)
Internet economy
1995–2010 · connectivity
Platform economy
2010–2020 · networks
AI economy
2020–now · machine intelligence
Autonomous economy
emerging · AI agents
▲ My Smart Teach is here
▲ moving towards it: a panel of AI assessors, with the teacher in control
Lecture link External Enabler theory (von Briel et al., 2018) · "Why now?" · Four waves of the digital economy
Step 1 · The problem
I knew the problem as a teacher
A laptop costs £360 after a 20% discount. What was the original price?
£360 × 1.2 = £432
✗
£360 is 80% → 360 ÷ 0.8 = £450
Why? The discount is taken from the original price.
In physics and maths, the final answer is not enough
Teachers need to see the student's working, reasoning, calculations and diagrams.
A cross (✗) shows the answer is wrong.
Feedback explains why, and what to do next.
The real story: teachers want to give this feedback to every student, but marking takes the time they need for teaching.
Lecture link Opportunity recognition: great opportunities start from real problems
Step 2 · Research before product
We listened before we built
We did not start with “Let's build an AI product.” We started with a question: “Where can AI genuinely help schools?”
600+
UK schools reached through our research outreach (University of Birmingham, 2025)
~100
educators listened to, through surveys and in-depth interviews
What teachers told us
Marking and feedback take a large part of their time
Handwritten work is the hardest part to assess quickly
They want AI that is fair, safe and under their control
They need practical training to use AI with confidence
Lecture link Problem discovery before solution · listening to users (customer discovery)
Step 3 · Finding the gap
Real school work is handwritten, and that was the gap
Problem
Assessment is essential, but manual marking is slow, and feedback often arrives late or too general.
→
Gap
Most digital tools mark multiple-choice or typed answers. But real school work is handwritten: multi-step maths, reasoning and diagrams. Teachers need marking that follows their mark scheme and gives credit for the method.
→
Opportunity
Automate the repetitive part of marking, give fast personalised feedback, and keep the teacher's professional judgement.
Real innovation solves the hard, real-world version of the problem, not the easy demo.
Lecture link Value creation in digital business models · finding a gap in the market
Step 4 · The innovation
How My Smart Teach works, with the teacher in control
1
Upload: the teacher uploads photos or scans of student work, plus the mark scheme
2
Read: AI reads the handwriting, including maths and diagrams
3
Check: a panel of AI assessors marks each answer against the same criteria, and the results are compared: “Reflective Consensus”, our patent-pending method
AI 1
AI 2
AI 3
→ consensus
4
Flag: anything unclear or uncertain is highlighted for the teacher
5
Approve: the teacher reviews, edits and approves, then personalised feedback goes to each student
AI proposes. Teachers decide.
Our review screen: the AI's reading, the mark and the feedback. The teacher can edit and approve.
Lecture link Human–AI collaboration · from the AI economy towards AI agents
Step 5 · Protecting the innovation
Patent pending, and a strong position
Patent pending
UK patent application filed on 12 June 2025
Why we protected it: to secure our technical method, to show our long-term commitment, and to build confidence with partners and funders.
What gives an AI start-up a strong position?
Intellectual property
Patent-pending Reflective Consensus method
Domain knowledge
Real teaching experience; designed for UK curricula and mark schemes
Trust
Research partners, schools and teachers who help shape the product
Responsible data use
School data used only with consent (UK GDPR): trust first
Discussion: For an AI start-up, what is the strongest protection: a patent, data or trust?
Lecture link How AI companies capture value: data advantages, network effects, ecosystem lock-in
Step 6 · Building and testing
From idea to a working product
Idea
MVP
School pilot
Feedback
Learn & improve
Our team built a minimum viable product (MVP)
Early testing with educators and families
School pilot in East Yorkshire: selected modules piloted; 13 teachers joined and gave feedback
Teachers found it easy to use and said it gave useful insights into their students' learning
Every round of feedback makes the product better
Why this is possible today: AI lowers the cost of building, so a small, skilled team can create and test a powerful product quickly.
Lecture link "Why now?": AI lowers barriers to venture creation · faster prototyping · AI-native start-ups
Step 7 · Recognition and funding
Winner · Innovate UK Women in Innovation Award 2025/26
“My Smart Teach: AI-Powered Marking and Live Feedback for UK Schools and Families”
87%
assessor score
£71,000
Innovate UK funding for Unique Tech Solution Ltd
12 months
funded development programme: August 2026 to July 2027
What the application asked us to show
the problemevidencewhat is newcustomersinclusionrisksmilestonescommercial plan
Assessors highlighted
A clear problem, user-centred design, a strong innovation and a clear milestone plan, and the potential to grow into higher education and professional training
AI business models from your lecture → our approach
Freemium
Free early access to the assessment module for individual teachers
Enterprise licensing
Partnerships and pilots with schools and trusts
Services
AI training for teachers (UTS Training Academy); customisation for selected partners
Subscription
A growth route for teachers and families
Is it a multi-sided platform?
Not a “matchmaker” like Uber or Airbnb. It is a focused solution that creates value for several user groups at once. Not every successful digital business has to be a platform.
First-mover position
One of the first to bring AI marking of handwritten work to UK schools, with the opportunity to shape the market.
Lecture link How AI companies make money · multi-sided platforms (Hagiu & Wright, 2015)
Trust and reputation
In education, trust is the most important currency
Reputation: how we built trust as a new company
Research partnership with universities (Birmingham and Nottingham)
Peer-reviewed paper accepted at the 5th Global Conference on Innovations in Education, Nottingham, November 2026
Innovate UK Women in Innovation Award winner
Gold Member and Lab Ambassador, Ingenuity Lab, University of Nottingham
Personal brand: linkedin.com/in/mysmartteach, with 16,000+ followers
Responsible by design
The teacher sees the original work next to the AI's reading
A panel of AI assessors checks every answer
The AI shows its reasoning, and the teacher approves every mark
UK GDPR: schools decide what is shared; data is used only with consent
Think: If you were a head teacher, what would make you trust a new AI company?
Lecture link Reputation economy · "You are a brand" (Peters, 1997) · black-box algorithms and trust
The entrepreneur's reality
Finding the solution is half the journey. The other half is helping people to change.
What first movers learn
A new category needs market education: first, people must see what is now possible
Change takes time: people trust the way they have always worked
Schools make careful decisions about children, budgets and time
Even the best technology needs people to adopt it
How we bring people with us
Practical training and support (UTS Training Academy)
Co-creating with forward-thinking schools through pilots
Teachers stay in control, so AI feels like a helper, not a threat
Building evidence and partnerships step by step
Diffusion of innovations (Rogers, 2003)
We start here: early adopters
Innovators
Early adopters
Early majority
Late majority
Laggards
Lecture link Opportunities and challenges of digital entrepreneurship · "Is it sustainable?"
Lessons for digital innovators
Six lessons from my journey
1
Start with a problem, not a technology
Real problems create real value.
2
Listen before you build
Research with real users shapes the right solution.
3
Empower people
The best AI makes human experts stronger.
4
Solve the real-world version
Real data is messy. Design for it.
5
Protect and communicate your value
Patents, funding applications and reputation all tell your story.
6
Bring people with you
Adoption is part of innovation: train, support and build trust.
Teacher's problem→Research: 600+ schools→Patent-pending innovation→MVP & pilot→Innovate UK award→Growth: schools, families, HE
Lecture link Today's concepts in practice
Your turn
Let's discuss
Vote Should AI ever give a student a final grade without a teacher checking it?
YesNoIt depends
Debate Will AI democratise entrepreneurship, or create new digital monopolies?
Democratise
Today a small, skilled team can build a powerful AI product.
Monopolies
The largest AI models belong to a few very large companies.
What everyday problem have you noticed that could become your next digital innovation?
Lecture link “Will AI democratise entrepreneurship, or create a new generation of powerful digital monopolies?”
Thank you
“Innovation does not start with advanced technology. It starts with a problem that truly matters, careful listening, and the courage to build and learn.”
Less time marking. More time to inspire.
Your questions: the ones you prepared for today
mysmartteach.com linkedin.com/in/mysmartteach
Dr Sharzad Majlesi CEO & Co-founder, Unique Tech Solution Ltd · Creator of My Smart Teach
Speaker notes · slide
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