Find the useful constraint
Start with the operation, the people and the outcome before deciding whether AI belongs in the workflow.
/ SPEAKER PROFILE · FOUNDER · APPLIED AI
Ismail Patel
Making AI useful for the people doing the work.
Ismail is an applied AI practitioner, product builder and facilitator. He helps founders, manufacturing leaders and functional teams turn operational constraints into practical use cases, workflows, prototypes and implementation roadmaps.
RoleFounder, dotSuper · Applied AI practitioner
Based in Pune, India
Available forKeynotes · Workshops · Panels · Fireside chats
01
/ FROM QUESTION TO WORKING SYSTEM
Strategy becomes useful when it changes the work.
Ismail works between diagnosis and delivery: identifying the workflow worth changing, deciding where AI belongs, building the first useful system and helping the team take ownership of it.
Through MCCIA's AI Experience Center, he has contributed to hands-on consultations, workshops and implementation-led programmes that help MSMEs move from AI awareness to practical action. His published work covers applied AI adoption, smart manufacturing and learning tools designed for constrained environments.
Build the first proof
Turn a broad ambition into a contained use case, a working prototype and a decision the team can evaluate.
Leave ownership behind
Design for adoption, measurement and internal capability so progress does not depend on a permanent outside team.
02
/ FIELDWORK, NOT THEORY
Work across education, business and manufacturing.
Every figure is attributed to the initiative that produced it. The programme numbers below are not presented as dotSuper customer results.
01programme reach
1,500+MSMEs reached through earlier applied AI initiatives
Reported cumulative programme reach across earlier initiatives. It is not a dotSuper client count.
02published work
20Real-world AI case studies compiled
Published through MCCIA for business leaders and MSMEs in 2026.
03published work
50Practical business AI questions answered
Published through MCCIA Applied AI Studio in 2026.
04reported outcome
20–25%Teacher time reported saved through Graspp
A project-reported outcome from the education product, not an audited result.
Read the figures correctly
The 1,500+ figure refers to cumulative reach through earlier MCCIA and founder-led initiatives. Publication counts and the Graspp outcome are based on Ismail's public project and publication record. Supporting programme records should be retained for verification.
03
/ SPEAKING TOPICS
Practical sessions for rooms that need to make a decision.
Each session can be shaped for founders, operators, manufacturing leaders, functional teams or an MSME audience.
From AI awareness to one useful workflow
A practical path from broad AI ambition to one measurable first implementation.
AI readiness for manufacturers and MSMEs
How to assess workflows, data, people, controls and ownership before choosing a tool.
Human + AI workflow design
Where AI should support, recommend or act, and where human judgement and accountability must remain explicit.
What real-world AI cases actually teach us
Patterns from 20 business cases, including where value appears, where adoption stalls and what organisations should measure.
Building products under real-world constraints
Lessons from Graspp and research into offline educational tools for environments with limited connectivity.
04
/ SELECTED WORK
Evidence before adjectives.
2026MCCIA2026MCCIA Applied AI Studio2025MCCIA2025Taylor & FrancisProjectEducation technology
AI Compilation of Case Studies
Twenty practical examples of AI being applied across business functions and industries.
50 AI FAQs
A practical guide for MSMEs and business leaders evaluating AI adoption.
India's MSMEs Driving the Smart Factory Revolution
A roadmap covering automation, IoT, AI, skills, infrastructure and manufacturing transformation.
Offline educational tool for children
Research into mixed reality and learning in limited-connectivity environments.
Graspp
An AI-assisted learning product reported to save teachers 20 to 25% of their time.
Public references
05
/ SPEAKER KIT
Ready for the event brief.
Ismail Patel is the founder of dotSuper and an applied AI practitioner who helps business and manufacturing teams turn operational constraints into practical AI systems.
Ismail Patel is the founder of dotSuper, an applied AI practitioner, product builder and facilitator. He works with founders, manufacturing leaders and functional teams to identify valuable AI use cases, redesign workflows and move from diagnosis to implementation. Through MCCIA's AI Experience Center, he has contributed to practical AI initiatives, workshops and learning programmes for MSMEs.
/ INVITE ISMAIL