Turing Pilgrim AI Product Strategy for Real-World Systems

Energy, infrastructure, and industrial software

AI product strategy for mission critical systems in energy and infrastructure.

I help energy, infrastructure, and industrial software teams decide where AI belongs, what it should change, and what should stay out of the roadmap.

Best fit when the product has to earn trust with operators, survive technical reality, and still make business sense.

AI thesis Pick the real bet before the roadmap hardens.
Adoption path Turn technical capability into buyer and operator trust.
Roadmap call Sequence what can actually ship under constraint.
Hari Dutt
Hari Dutt 20+ years across field operations, enterprise SaaS, and AI systems.

20+ years

Across field operations, enterprise SaaS, and AI systems

1M+ assets

Supported across deployed operational platforms

7,000+ field users

Across workflows used by 50+ operators

$1.2B+

Cumulative efficiency gains over three years

Where Turing Pilgrim is most useful

Most requests start before a roadmap decision, positioning reset, or AI scope debate turns expensive. I am most useful when the product question is strategic, technical, and operational at the same time.

01

AI thesis, scope, and use-case selection

Choose the right AI bet before pilots drift into theater or roadmaps fill with work that does not belong in the product.

02

Positioning for complex enterprise adoption

Translate technical capability into language that buyers, operators, and executives can all trust.

03

Roadmap calls under real constraints

Decide what ships now, what waits, and what should be removed before complexity compounds.

Selected proof

Evidence across operator-scale software, enterprise adoption, and AI execution in environments where workflows, economics, and field conditions all matter.

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.
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.
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.
"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

Bring the decision before it gets expensive.

A polished brief is not necessary. A short note on the product decision, operating context, or AI bet is enough to start.

Fastest path

Share the decision, the system, and what makes the call consequential. I read every request personally and usually reply within one business day.

Decision What call is on the table?
Context Which workflow, buyer, or system is involved?
Constraint What timing or stakeholder pressure matters?
Already want to suggest a time for a call?

Optional. Leave the date blank and I will follow up by email to find a time that works.

If you add a time, I will receive it in New York time.

If email is easier, write to hari@turingpilgrim.com.