AI agents for agriculture: less paperwork after the field work

Where farm admin eats the day

A grower rarely loses time to the work itself. The time goes on typing spray and fertilizer records at night, chasing a co-op for a settlement figure, comparing three input quotes, and answering the same buyer question about delivery windows. Small and mid-sized operations have no back office to absorb this, so the owner does it after dark.

The load is seasonal. Planting and harvest compress everything into a few weeks, then the paperwork arrives after. Livestock operations have a steadier rhythm but their own records: movements, treatments, feed and vet visits. An agent suits this because the inputs are messy (voice notes, photos of tickets, forwarded emails) and the outputs are structured (a log line, a draft email, a calendar reminder).

What we build for growers and agribusinesses

We start with the one task that costs the most evenings and add others after it has run for a few weeks.

• A field-log agent that takes a voice note or photo from the tractor cab, extracts field, product, rate and date, and writes it to your record-keeping tool or spreadsheet for you to confirm.
• A quote-comparison agent that reads supplier price lists and emailed quotes for seed, chemicals or feed and lays them side by side, flagging unit differences.
• A buyer and customer inbox agent that answers routine questions on pickup times, grades and availability from your own price sheet, and passes anything unusual to you.
• A paperwork-reminder agent that tracks renewal dates for licenses, applicator certificates, insurance and inspections and drafts the renewal emails.
• A farm-shop or CSA agent that handles box changes, pauses and delivery-day questions for direct-sales customers.

It can connect to tools such as Google Sheets, Airtable, QuickBooks, Shopify for a farm shop, or farm-management software that offers an API. Where a tool has no integration route, the agent works from exported files or email.

What the agent does and what stays with you

We design the agent so that it never recommends a chemical rate or a treatment on its own. It shows the label text or your past record and lets a qualified person decide.

Rules and data to respect

Pesticide use, animal treatment and organic certification all come with record-keeping rules that differ by country and often by state or region. Check with your extension office, certifier or adviser about exactly what your records must contain and how long to keep them. The agent can store records in the format you are asked for, but it cannot tell you what the rule is.

Farm data is commercial data. Yield maps, field boundaries and price terms are worth protecting, so we keep records in your own cloud account, choose model providers with readable data-use terms, and log every action the agent takes. See our AI agent security checklist for the controls we apply.

How the project runs remotely

1. Pick the taskA short call about your season. We look at about 30 real examples, such as past log entries or buyer emails, and note the awkward ones.
2. Build on copiesThe first version works on a copy of your sheet or inbox so nothing live is touched.
3. Run it beside youFor a few weeks the agent drafts and you confirm. We track how often you correct it.
4. Hand overYou get the code, the prompts, the test examples and a short guide for the person who will look after it.

Our team is in Pune, with offices in Coventry and New York. Because farm work starts early and ends early, we book calls at the start of your day and send a short demo each week.

What it costs

Projects start at $1,500 and our rate is $30 an hour. A single-task agent, such as the field-log or quote comparison, sits at the small end. Price rises with the number of systems it must read, how many people use it and how much testing you want before it runs unattended. You get a fixed quote within one working day of a short call. For general ranges read what an AI agent costs, and for the build approach see AI agent development. If the task is a fixed routine with no judgment in it, AI automation may be cheaper.