---
title: "AI adoption programme for a soil-science company | SoftHouse Advisory"
description: "A US-based agritech company wanted to use AI across several internal operations but had no clear read on where it would actually pay back."
url: "https://www.shsadvisory.com/case-studies/agritech-ai-adoption"
---

# AI adoption programme for a soil-science company

**Industry:** Technology (AgTech)

**Challenge:** A US-based agritech company wanted to use AI across several internal operations but had no clear read on where it would actually pay back.

**Approach:** We ran a full AI Adoption engagement: Discovery to map opportunities, Prototyping on the strongest candidates, then a Development phase to build the solutions that made the cut.

**Outcome:** Multiple agents in production; specific metrics pending sign-off.

An agritech company applying soil science at commercial scale wanted to understand where AI could meaningfully reduce their operational overhead. They had the usual problem: dozens of ideas, varying merit, no framework for choosing.

## What Discovery surfaced

Not all of the candidates were worth pursuing. Some were doable but low-value. Others were high-value but blocked by source data that wasn't ready yet. Discovery's real deliverable was a shortlist we could defend.

## What we built

Prototyping phase validated two of the shortlist candidates on real operational data. Development phase turned those prototypes into production agents integrated with their existing stack. A Change Management overlay made sure the team using them every day had the training and confidence to iterate further.

Anonymised at the client's request. Client details available on a signed NDA.