I had the privilege of learning product management under Sheshakanth — as his student and while working alongside him professionally. His depth of experience, including his time as a senior member of the product team at ServiceNow, shows in how he balances strategic vision with hands-on execution. He's exceptionally well-versed in delivering AI products for large organizations, and his entrepreneurial capabilities are impressive — two companies built from the ground up. What stood out most was his ability to translate complex enterprise requirements into clear, actionable roadmaps, and a mentorship style that pushes you to think critically rather than follow a playbook.
03 · COACHING & EDUCATION
Most product management curricula are still teaching a pre-agentic world.
AI & product management coaching, workshops, and curriculum partnerships for business schools globally, taught from inside real Generative AI product work, not from a textbook.
Who this is for
Good fit
- Business schools and executive education programs wanting a practitioner-led AI product management curriculum
- Working product managers who need to reskill for an agentic-AI world
- Corporate L&D teams running internal upskilling for product and technology teams
Not a fit
- Looking for pre-recorded, generic AI-awareness content with no practitioner input
- Not open to a curriculum that changes as the underlying technology does
Offerings
01
Curriculum Partnership
Full course module design for AI & Agentic Product Management, built for MBA and executive education programs, informed by real production GenAI work rather than theory.
Best for: programme directors rebuilding a syllabus that still teaches a pre-agentic world.
02
Executive Workshops
Half-day and full-day intensives for working professionals on how agentic AI changes product strategy, roadmapping, and team structure.
Best for: corporate L&D and delivery leaders whose teams are shipping AI without shared vocabulary.
03
1:1 & Cohort Coaching
Structured coaching for individual PMs and small cohorts making the transition into AI-native product roles.
Best for: PMs who can run a discovery cycle but cannot yet argue about evaluation or cost per call.
The programme, in outline
Participants carry one product idea from the first session to the last, so the work compounds instead of resetting each time. The arc is the same at every level. Only the depth, the hours and the ambition change.
Phase one · Understand
01
Foundations
What machine learning, deep learning, generative AI and agentic AI actually are, and how they nest. Where each earns its cost, and how to spot agent-washing.
02
Choosing the problem
Real user discovery, then an honest read on whether the data to build it actually exists. Most AI ideas die here, and they should.
Phase two · Build
03
Designing what it may do
What the system decides alone, what it recommends, and what it must never touch at any confidence level. The decision that separates a demo from a product.
04
Building it
A working version, described in plain English. No coding background is assumed at any point.
Phase three · Prove and ship
05
Proving it works
Answering the hardest question in AI: what does “working” mean here, and how would you show it to someone who was not in the room.
06
Governance and economics
Sizing governance to risk rather than applying it uniformly, and modelling what the product costs at real volume rather than in a demo.
07
Shipping and defending it
Demonstrate the product, including a failure case, and pitch it to a panel. Participants finish with an artefact, not a certificate.
Formats run from a single four-hour session through to a full multi-module course, on campus or live online, co-taught with your faculty where you want it. The first session is always free, so your people can judge the teaching before anything is committed.
Detailed programme documents, formats and per-participant costs are sent on request.
In the classroom
Not stock photos. Actual sessions. From MBA guest lectures at the University of Hyderabad and IBS Business School to hands-on AI product management cohorts at Rockwell Business School, Hyderabad.
Format
Formats flex to the partner: in-person, virtual, or hybrid; a single workshop or a multi-week curriculum module; individual coaching or cohorts of 10–15. Rockwell Business School, Hyderabad is our first academic partner, and the curriculum keeps being shaped by direct coaching work with working product managers.
Why AIAUTOMIC
"Teach product management the way it has to be practiced now that products are agentic, not the way it was taught five years ago."
50+ product managers coached to date, drawing on hands-on Generative AI product experience, including leading the "Native AI" strategy and NowLLM rollout at ServiceNow, and taking an AI chatbot platform to Forrester recognition at Serviceaide. Mentoring runs through the whole career, from seed-stage founders in an accelerator to product teams inside global enterprises.
→ 50+ PMs coached
→ Rockwell Business School: first academic partner
→ guest lectures incl. IBS
Track record
Two decades building products, and teaching them.
Product leadership & guest lectures across
Testimonials
What they say.
Hover any card to read the full note.
I had the opportunity to work with Shesh at Serviceaide, where his strategic thinking and deep product expertise consistently stood out. Working alongside him gave me firsthand insight into the depth of thought, product discipline, and clarity he brings to every decision. He has an exceptional ability to build and deliver enterprise AI solutions, balancing business objectives with practical execution. His thorough approach, attention to detail, and ability to simplify complex problems into scalable product solutions make him an outstanding product leader. Anyone looking to build impactful AI solutions or grow as an AI Product Manager would benefit immensely from working with him.
A decade before I became a Product Manager, Shesh was already teaching me how to think like one. That early foundation still shapes how I approach product strategy today. He's not just a great PM himself — having shipped Generative AI products at ServiceNow and built a health-tech venture from scratch — he's someone who can translate that experience into lessons early-career PMs can actually use. We've stayed in touch ever since, still trading notes on product challenges and industry trends, and I'm glad more people will now get access to that same coaching.
I had a great learning experience with Shesh's Product Management program. The curriculum was well structured and covered the complete product lifecycle—from customer discovery and product strategy to roadmapping, Agile, Scrum, product metrics, product design, and product launches. I particularly appreciated the inclusion of AI for Product Managers, which made the program relevant to today's rapidly evolving product landscape. What made the program especially valuable was its practical approach. The live instructor-led sessions, real-world case studies, mock interviews, resume reviews, and career guidance helped bridge the gap between theory and industry expectations. Shesh explained concepts clearly, encouraged interactive discussions, and provided actionable feedback throughout the program. As someone with an engineering background, this program broadened my understanding of product thinking, customer-centric decision-making, stakeholder management, and data-driven product development. It gave me a strong foundation in modern product management practices and increased my confidence in applying these concepts to real-world products. I would highly recommend this program to professionals looking to transition into product management or strengthen their existing product management skills. It offers an excellent balance of strategic concepts, practical frameworks, and career support.
I joined Shesh’s Product Management cohort back in 2020, at a time when I was still very early in my product journey and trying to understand what being a good Product Manager really meant. What I remember most was not simply a set of frameworks or processes, but the way he encouraged us to think more clearly about the problem, the customer, the product, and the reasoning behind our decisions. That way of thinking stayed with me much longer than I expected. Today, I work as a Product Manager in fintech, where AI and data play an important role in building financial products and services. Many of the challenges I deal with now require the same kind of structured thinking, curiosity, and willingness to question assumptions that Shesh encouraged during the program. I’m grateful that I had the opportunity to learn from him early in my journey. Beyond his product experience, what stood out to me was his genuine passion for teaching and helping people become better product thinkers. I’m very happy to see him continuing that journey with AIAUTOMIC.
Common questions
Do you only work with business schools in India?
No. Rockwell Business School, Hyderabad is the first partner, but the curriculum and workshops are built to travel; most sessions can run virtually for any institution globally.
Can this be customized for a corporate L&D program instead of a business school?
Yes. The same curriculum adapts well to internal product team upskilling. Bring your team's specific context to the call.
What's the format of the 1:1 coaching?
Typically a structured multi-session engagement, scoped to where the individual PM is in their transition to AI-native product work. Details get set on the intro call.
Want your students or team learning product management for an agentic-AI world?
One call. Tell us your program or team's context and we'll tell you plainly what fits, from a single workshop to a full curriculum module.
Opens our scheduler in a new tab. Mention “Coaching & Education” when asked what you’d like to discuss.