About

A founder-led consultancy built to bridge operations and AI.

The mission is to help practical businesses adopt AI in ways that improve real work, reduce wasted effort, and create measurable operational value without the hype.

Founder of Turnrow

Founder

Jadon Jahnke

Founder & Principal, Turnrow

Before Turnrow, Jadon worked in crop insurance as an AI Solutions Analyst — one of the more process-intensive, documentation-heavy industries in agriculture. That role meant developing internal AI capabilities while simultaneously evaluating vendor solutions: sitting on both sides of the build-versus-buy conversation and learning what separates realistic adoption from expensive experimentation.

Turnrow is built from that experience. The advisory model gives SMB leadership the same structured clarity that enterprise teams get from internal specialists — a grounded view of what is ready, what needs groundwork, and which move is actually worth making first.

Background in crop insurance as an AI Solutions Analyst — developing internal AI capabilities in one of agriculture's most process-intensive industries
Experience on both sides of the build-versus-buy decision: evaluating vendor AI solutions and building internal capabilities in the same role
Firsthand understanding of what realistic AI adoption looks like in organizations that are not technology-first
Advisory model built around the question SMB leadership actually needs answered: where do we start, and what is worth doing first?

Human + AI

The goal is better work, not replacing the people who know the business.

Practical AI adoption works best when it supports people, reduces repetitive effort, and improves decision support inside real workflows.

  • AI should support people, not create more confusion for them.
  • The best use cases usually improve workflows, reduce repetitive work, and give teams better decision support.
  • Successful adoption depends on people understanding how a tool fits into real day-to-day work.

Responsible AI

Lightweight trust, practical guardrails.

Most SMBs do not need enterprise-grade compliance theater. They do need thoughtful tool selection, clear boundaries, and sensible implementation decisions.

  • Thoughtful tool selection based on fit, not vendor hype
  • Care around data handling and workflow sensitivity
  • Controlled implementation with clear use cases and boundaries
  • Practical decisions about where AI is helpful and where it is not yet a fit

The advisory model

Translating AI possibilities into decisions leadership can defend.

The value is not generic AI enthusiasm. It is the ability to bridge workflow reality, executive priorities, and the practical constraints that shape whether a pilot will actually work.

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