How we engage
Four services. One arc. Plan, build, and stress-test the systems your operation now depends on.
We sell expertise, not enthusiasm. Every engagement is fixed scope with a written success criterion and a held-out evaluation set agreed before we start. Producer trust and data stewardship are part of the spec, not a review at the end.
Standing counsel
AI Advisory for Ag Leadership
For cooperatives, retailers, lenders, and producer groups deciding where AI actually fits in their operation — and where it doesn't. Standing strategic counsel on capability, model and vendor selection, data governance, and the calls no software demo will answer for a board or owner. We sit at your table, not above it.
Ongoing engagement
The plan
AI Transition Roadmap
A two-week engagement that ends with a written deliverable: what to build, what to skip, in what order, with what evaluation and stewardship criteria for ag data. Stop after this, or proceed to a build.
2 weeks · fixed scope
Execution
Custom AI Build for Ag
We design and ship a production system against the roadmap — program matching, contract intake, agronomy decision support, grant pipelines, dealer workflows. Weekly demos, held-out test set, responsible-AI review, runbook at handoff. You own the code and the data.
6 to 12 weeks · fixed scope
Stress test
Responsible AI & Evaluation
For teams who already shipped, or are about to: an independent evaluation of an existing or pre-launch AI system against the realities of agriculture — producer trust, contract exposure, regulatory scrutiny, and on-farm consequences. Written findings with severity rankings and concrete fixes.
3 to 5 weeks · fixed scope
Client work
Custom AI systems, shipped into ag production.
A selection of engagements across program enrollment, lending, conservation, and dealer enablement — each a system a practitioner designed, built, and stood behind.
Program matching
1,100+ Program Intelligence
Retrieval pipelines that match a producer's acres, practices, and goals against the full universe of carbon, conservation, energy, habitat, and regenerative programs — with eligibility and stacking flagged before a dealer ever picks up the phone.
Dealer enablement
Producer Opportunity Reports
Structured intake from soil tests, FSA records, and operation maps, distilled into a producer-facing report with ranked program options, projected $/acre, and the questions a dealer needs to ask next.
Contract intake
Land Lease & Easement Review
Specialized extraction over solar leases, wind agreements, and easement contracts — surfacing duration, payment structure, restrictions, and clauses worth a lawyer's eye before a signature.
Cooperative ops
Regulatory & Program Tracking
Automated review of USDA, EPA, and state-level rule changes that move money for producers — classified, summarized, and routed to the right desk on the right day.
Agronomy support
Decision Support for Practice Change
Models that help a producer weigh cover crops, reduced tillage, or grazing shifts against program payments, input costs, and yield risk — with the assumptions written down where anyone can challenge them.
Stewardship is engineering
We don't bolt ethics on at the end. We write it into the spec.
Every roadmap names the risks we will not take with producer data. Every build ships with the evaluation set, governance constraints, and reviewer paths required to keep the system honest under real use on real ground.
Producer data stays the producer's — no training on it, ever.
Held-out evaluation set agreed before any build begins.
Reviewer paths for any output that touches a contract or a check.
Runbook at handoff so your team can run it without us.
Who we work with
Organizations whose decisions move real acres and real dollars.
From regional cooperatives to twenty-person land trusts. The common thread: the work is consequential, the data is sensitive, and there is no room for cleverness that doesn't survive contact with the producer on the other end.
Ag retailers & cooperatives
Program discovery, producer intake, and contract triage tooling that fits the cadence of a working retail desk — without forcing your team to become prompt engineers.
Lenders & farm credit
Document understanding for loan files, structured extraction from operating statements, and independent model-risk review aligned to ag lending expectations.
Conservation & land trusts
Easement document review, parcel-level eligibility analysis, and evidence pipelines for stewardship reporting — at a budget a mission-driven team can sustain.
Producer groups & associations
Member intake, program routing, and policy tracking that turns a small staff into a much bigger one — without losing the personal call that members actually pay for.
Ag tech & marketplaces
Listing quality, trust signals, and agent workflows for buyers and sellers of land, equipment, and inputs — with bias and harm review built into the evaluation.
The practitioner
We build the systems we recommend.
Landoption AI Advisory is led by operators who work AI into the field and into the codebase. The same people write the evaluation set, review the architecture, and sign off on the guardrails.
That matters when the work is high-stakes. A consultant who has never shipped will write a plan that sounds plausible. A practitioner who has shipped will write one you can actually execute.
