Turing Pilgrim AI Product Strategy for Real-World Systems

Your AI roadmap has to work in the field. Not just the pitch deck.

I pressure-test mission-critical AI bets against field reality, operator trust, and technical constraint — before they harden.

Your guide Hari Dutt brings 20+ years across field operations, enterprise SaaS, and AI systems.
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20+ years

In the environments where AI actually gets deployed

1M+ assets

Operational scale where AI earns trust or gets switched off

7,000+ field users

Across workflows used by 50+ operators

$1.2B+

Efficiency gains from deployed systems, not demos

Where this work matters most.

01

When the AI bet is still open

The roadmap hasn’t committed yet, but pressure is building to pick a direction. The highest-leverage moment.

02

When operators won’t trust the product

Demos work. Field adoption is stalled. Usually a positioning and workflow-fit problem, not a product problem.

03

When the roadmap is filling too fast

Scope is compounding. The question is what to cut, what to sequence, and what should never have been on it.

Latest essays

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The Next AI Shift Is Delegation

The hard question is not what AI can do. It’s what we should let it do, and how.

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May 8, 2026

AI learns from the wrong data

We spent a decade cleaning operational systems for humans. Now AI needs the mess we filtered out.

May 1, 2026

Breaking the AI Adoption Barrier in the Field

Stop trying to replace the operator. Start augmenting them.

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Selected proof

Market adoption

Built products that reached operator scale.

  • 50+ operators across the U.S., Canada, and Argentina.
  • ~15% U.S. market share for a mobile-first field automation product.
  • 50%+ ARR expansion during the shift from services into SaaS.
Read the case study
Operational systems

Improved time-to-value in messy field environments.

  • 1M+ assets supported across deployed platforms.
  • 7,000+ field users across operator workflows.
  • 6 weeks instead of 6+ months to value.
  • 90%+ retention on multi-tenant enterprise SaaS.
Read the case study
AI execution

Built AI systems for decisioning and execution.

  • 30-50% less manual work through OCR, route optimization, and workflow redesign.
  • $13M+ ARR portfolio with AI-ready foundations across 10+ systems.
  • $100M+ revenue opportunities shaped through advisory work.
Read the case study
"Hari is an exceptional Product Manager with deep knowledge in the AI space. His ability to bring together competing views and needs into a cohesive product vision is extremely valuable."

EVP, Chief Supply Chain Officer · Healthcare

"He combines technical depth, business acumen, and exceptional communication skill in a way that drives product initiatives forward."

Product Executive · Energy Operations Software

Download the decision framework

Field Guide

Mission-Critical AI: A Decision Framework

A workbook for making the right bet before the roadmap hardens.

  • Score roadmap bets.
  • Audit trust and workflow fit.
  • Pressure-test data reality.
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Bring the decision before it gets expensive.

A short note on the decision or AI bet is enough to start.

Fastest path

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