Using agents, RAG, and real execution systems — not slide decks. 10+ years of founder-level product ownership across EdTech, Energy, Logistics & Retail.
I'm Senthilkumar — a Product Owner, Startup Founder, and AI Product Strategist from Tamil Nadu, India. My career started as a Software Engineer at Mindtree, shipping for P&G's global digital ecosystem. Then I went independent, consulted for US-based startups in Houston, and eventually co-founded two companies — ZAS Digital and Maanavar.
Today at ZAS Digital, I lead AI-driven product strategy across EdTech, Energy, Logistics, and Retail. We use tools like Claude, RAG pipelines, and agentic LLM workflows to ship faster without cutting corners. Our approach: AI execution everywhere it helps, human decisions where it matters.
I'm a rare hybrid — I can read a tech spec, write a PRD, facilitate a discovery sprint, and present the product roadmap to investors, all in the same week.
While most PMs are still "exploring AI," I've been shipping with it. At ZAS Digital, AI is embedded into our delivery pipeline — not bolted on after. Claude for design iteration, RAG for domain-specific intelligence, MCP servers for tool orchestration, agentic workflows for automated QA.
I help startups understand where AI creates real product leverage — and where human judgment must stay in the loop. That clarity is what separates AI-washed products from genuinely smarter ones.
Led end-to-end product lifecycle for AI-driven SaaS products across EdTech, Energy, Logistics, and Retail. Built the company from zero to a multi-client AI-augmented consultancy — using Claude, RAG pipelines, MCP servers, and agentic workflows baked into every delivery. AI isn't a feature we add; it's how we build.
Co-founded an EdTech startup focused on transforming organisational learning. Wore multiple hats — CTO, Solution Architect, Delivery Manager — driving market research, system architecture, and Agile execution.
Developed research architectures and data models for enterprise clients. Consulted on functional and non-functional requirements, building data frameworks that enhanced business intelligence and decision-making.
Optimised Sitecore workflows and content architecture. Automated data and CMS processes, reducing operational time by 85%.
Led Sitecore implementation for P&G's global digital ecosystem. Built scalable web components across 20+ localised product websites at genuine enterprise scale.
Whether you're pre-launch, scaling, or pivoting — I bring hands-on product ownership, AI delivery speed, and founder-level strategic thinking.
Real products. Real decisions. Real numbers. Not just descriptions.
Senior PMs don't just execute — they have frameworks. Here's how I think about the problems most teams get wrong.
Most teams reach for agents first because they sound impressive. I start with the question: does this need to retrieve or does it need to act? RAG is the right call when you need grounded, accurate answers from your own data — support bots, knowledge bases, document Q&A. Agents are right when you need multi-step autonomous action — workflow automation, dynamic API orchestration, real-time decision loops. Mixing them up is where AI products fall apart.
Every AI product needs a clear boundary: what does AI decide, what does a human decide? I map this explicitly before writing a single PRD line. AI handles: scaffolding, test generation, UI iteration, documentation, boilerplate. Humans decide: architecture, security, UX choices, final QA, product direction. This isn't about distrust — it's about risk-proportionate design. Products that skip this step fail in production.
Most AI products fail not because of bad models — but bad product decisions. Before any build, I validate: Is this a real user need or an AI use case looking for a problem? What's the data quality? Can the LLM hallucinate its way into a critical user path? What's the fallback when AI fails? Is the latency acceptable for this UX context? These 5 questions alone kill 70% of bad AI product ideas before they burn a sprint.
Chat with me, scope your startup MVP, or check if I'm the right fit for your job — powered by real AI, not scripted responses.
I've helped founders at every stage — here's exactly what I bring to each.
You have a strong idea but haven't validated it yet. You're not sure if you need RAG, agents, or a simple API call.
What I do: Run a structured discovery sprint. Kill bad assumptions early. Define the 3-week MVP scope and AI architecture — before you spend a rupee on engineering.
Validate my idea →You've launched but retention is flat, AI features aren't converting, or your team is shipping without a clear roadmap.
What I do: Audit your product and AI stack. Fix retention loops. Rebuild your roadmap around outcomes — not features. Ship the next 90-day plan.
Fix my product →You need senior PM leadership but aren't ready for a full-time exec hire. Your eng team is strong but lacks product direction.
What I do: Embed as your part-time Head of Product. Own the roadmap, run sprint planning, mentor your PM/eng, and represent product at board level.
Hire me fractional →"Senthil has an unusually rare skill — he thinks like a founder and executes like an engineer. He doesn't wait for a perfect spec. He shapes ambiguity into something the team can build and ship."
"The AI-augmented delivery at ZAS Digital is real — not marketing. They shipped our MVP in 3 weeks when every other agency quoted 8. And the quality held. We're still running the product today."
"Senthil brings business instinct into every product decision. He doesn't just manage a backlog — he understands why each item matters to the bottom line and will push back when it doesn't."
Whether you need a Product Owner embedded in your team, a fractional CPO to lead AI strategy, or a partner to take your SaaS from 0 to launch — let's talk.