20+ years
In the environments where AI actually gets deployed
You’re accountable for AI results in systems where failure isn’t an option.
Your AI roadmap has to work in the field. Not just the pitch deck.
Most AI roadmap decisions get made before anyone has pressure-tested them against field reality, operator trust, or technical constraint. By the time that becomes obvious, the bet has hardened.
Best fit when the AI bet is still open, field adoption risk is real, or the roadmap is filling faster than it should.
Your guide
Hari Dutt brings 20+ years across field operations, enterprise SaaS, and AI systems.
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
Latest essays
Fresh field notes from The Turing Pilgrim on AI that has to work across people, systems, and operational reality.
May 14, 2026
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.
Read the essayFeatured resources
Two faster ways to understand the operating judgment behind the work.
Turning Ambiguity into Impact with Hari Dutt
A conversation on product judgment, ambiguity, and what it takes to turn complex work into momentum.
ListenMission-Critical AI: A Decision Framework
Score roadmap bets before the wrong one hardens.
The situations where this work matters most.
Not a service menu. The moments below are usually when the decision is still open enough to change the outcome.
When the AI bet is still open
The roadmap has not committed yet, but pressure is building to pick a direction. This is the highest-leverage moment and where I am most useful.
When the product cannot get operators to trust it
Technical capability exists. Demos work. But field adoption is stalled. Usually a positioning and workflow-fit problem, not a product problem.
When the roadmap is filling faster than it should
Items keep getting added. Scope is compounding. The question is what to cut, what to sequence, and what should never have been on the roadmap.
Selected proof
Proof from the environments where AI either earns trust or gets switched off.
Built products that reached operator scale.
A mobile-first field automation product reached operator scale in a category where field adoption usually kills software before it has a chance to spread.
- 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.
Improved time-to-value in messy field environments.
These systems delivered faster because the work was shaped around field constraints instead of assuming the workflow would adapt to the software.
- 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.
Built AI systems for decisioning and execution.
The gains came from deployed workflows, not prototype theatre. The hard part was not model novelty; it was making the work usable under real operating conditions.
- 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.
"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 Mission-Critical AI: A Decision Framework
A printable guide for product leaders building AI in energy and industrial systems.
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.
Instant access
Fill this out and the next screen opens the guide.
Need a direct link instead? Open the ebook.
Bring the decision before it gets expensive.
A short note on the decision or AI bet is enough to start.
Fastest path
Share the decision and context. I usually reply within one business day.
Or email hari@turingpilgrim.com.