AI adoption programme for a soil-science company
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.
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