Sanjay Dudani

AI & Business Transformation

Closing the gap between AI pilots and production.

Most enterprise AI never leaves the pilot stage. I help enterprises, mid-size companies and startups cross that gap — as an operator who has built the systems, and an independent analyst who covers enterprise AI the way a ratings agency covers companies: evidence-first, and sourced.

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95%

of organisations get zero return on their enterprise AI — and only 5% of custom AI tools ever reach production. The barrier is rarely the model; it is the operating model, the data foundation, and the discipline to sequence it right. Closing that gap is the whole of my work.

MIT NANDA, State of AI in Business 2025.

What I do

Three ways I help — one thesis underneath.

These are capabilities, not packages tied to company size. An enterprise closing the pilot gap, a mid-size firm rolling out department-wide adoption, a startup standing up its GTM — any of them may need any of these. Whatever the stage, the job is the same: turn AI ambition into something that actually runs in production and shows up in the P&L.

01

AI enablement & training

Department-by-department enablement and the operating model that makes adoption stick — for a global enterprise or a lean team. Not one-off workshops, but a program that changes how people actually work.

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02

Pilot-to-production

Getting stalled AI pilots into live production and building agentic systems that run real operations — the data foundation, the intelligence layer, the governance. Whether pilots are stuck in the lab or one is ready to scale.

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03

AI-led GTM systems

Revenue engines that compound — AI-led go-to-market built on clean data and the right operating rhythm. For a young company finding its motion or an established one rebuilding it.

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Why me

I built the systems myself — so I can't be bluffed.

Most advisors at this altitude have never touched the build. I went hands-on and rebuilt every layer an enterprise transformation runs on — the data foundation, the intelligence layer, and the operating model. That is why my read on what will and won't reach production is grounded in having done it, not in a deck.

  • $2Bn+revenue engines built — and the AI systems underneath them.
  • 10 sectorsof department-level AI training and governance cadences designed and run.
  • Ground-upCRM rebuild that surfaced $100Mn+ in hidden revenue.
  • Agenticsystems running live operations, not slideware.
  • IIM LucknowFull-time MBA, 2015–2017 · Indian Institute of Management, Lucknow, India.
  • NIT CalicutB.Tech, 2009–2013 · National Institute of Technology, Calicut, India.

How I think

The independent analyst’s posture.

I cover enterprise AI the way a ratings agency covers companies — going beneath the headline numbers to the attribution and the operating reality. Every claim is sourced; every stat carries its evidence.

That independence is the point. I’m not selling a platform — so the read you get is the honest one.

Read the current writing on LinkedIn →

Work with me

Start with a clear read on where you actually stand.

I take a small number of advisory engagements — AI enablement, pilot-to-production, and GTM systems, in sectors outside real estate. Tell me where you are, and I'll come back with a straight read on the fastest path to production.

Straight to my inbox — no newsletter, no sales sequence.