What Changes When Crop Insurance Is Priced Field by Field Instead of by County?

What did Aon and SAGE actually launch?

A precision crop insurance program that prices a grower’s risk at the individual field instead of at the county average. Aon and SAGE — an AI-native agricultural risk intelligence company — announced the program on October 29, 2026, and they’re building it with AgriCap, a specialty agricultural insurance provider, as the preferred insurance partner. It will be available to corn and soybean growers in 15 states for the 2027 crop year, and it is designed to sit alongside federal crop insurance, not replace it — matching coverage more precisely to the value being protected and the risk under that specific field.

The working proof is already in the ground. The approach is being tested through a four-county pilot developed by the Resilience in Agricultural Lending and Insurance Coalition (RALIC), funded in part by the Michigan Department of Agriculture and Rural Development. That pilot covers more than one million agricultural acres — roughly 12 percent of Michigan farmland. Growers and agents can look at the program ahead of the spring 2027 sign-up period at sage.ag.

Why is county-average pricing the problem?

Because a county is not a field. Federal crop insurance covers nearly 90 percent of U.S. corn and soybean acreage, and it is priced on the average risk in each county — even though anybody who has walked ground knows risk runs field to field, not county line to county line. One field sits on good soil with decent drainage. The next field over, same county, same premium structure, floods if you look at it wrong.

When the price is an average, the low-risk grower pays for somebody else’s losses and the high-risk grower gets a quiet discount. Neither price is really about their land. The release announcing the program says it straight: the county-average model leaves “many growers paying premiums that may not reflect their individual risk.” That’s the opening. If you can actually see the risk field by field — soil, water, weather, and how the land is worked — you can price what is really there. SAGE’s engine is built to combine those data sets at a scale that, per co-founder and CEO Bill Veghte, “simply wasn’t feasible before advancements in AI.”

What changes in the broker’s conversation with an ag client?

The conversation stops being about a rate sheet and starts being about the client’s ground. Today, the crop conversation at renewal is mostly coverage levels, county rates, and a signature. The broker’s knowledge of the actual operation — which fields drain, which ones hold water, what the grower has invested in to make the land more resilient — has almost nowhere to go, because the price doesn’t listen to any of it.

Field-level pricing gives that knowledge a dollar value. When resilience on a single field can be underwritten, the broker sitting across the table can say something new: the work you did on this field shows up in your premium. Aon’s Jonathan Sherrill, Senior Vice President at its Agriculture Resilience Center, framed it this way: “When we make resilience visible, it can be underwritten, which means we can syndicate capital behind it.” For the broker, that turns the annual renewal into a planning conversation — here’s your risk picture field by field, here’s where an investment in the land could pay you back twice, once in yield protection and once in price.

What data does the grower now have to produce?

More than a county-average program ever asked for — and that cuts both ways. A field-level price has to come from field-level evidence: the soil profile, water behavior, weather exposure, and the human side of the equation, meaning how the field is actually managed. SAGE describes its models as combining exactly those four — soil, water, weather, and human interaction — into risk signals the insurance market can act on.

For your clients, expect the intake conversation to get longer before it gets easier. Which fields, farmed how, with what history and what improvements? Growers who already keep good records — and operations working with lenders who track this — will move first and price best. Growers whose records live in a shoebox will feel the friction, and helping them get their field data in order becomes part of the broker’s job whether it was in the job description or not. That’s not a reason to avoid the program. It’s a reason to start the data conversation this winter instead of at sign-up.

Who wins and who loses when the county cross-subsidy goes away?

Say it plainly, because your clients will figure it out anyway: an average is a cross-subsidy, and removing it creates both. The grower whose fields are better than the county average has been overpaying relative to his own risk for years. Field-level pricing is built to hand that back — Robert Bonnie, former USDA Under Secretary for Farm Production and Conservation and a SAGE co-founder, describes it as “an opportunity to reward farmers’ investments in resilience through better crop insurance options.”

The grower on the tough ground in the same county has been paying less than his field-level risk would price at. A precision program doesn’t have to be bad news for him — the point of seeing the risk clearly is that it can be worked on, and RALIC built the Michigan pilot to test exactly that: “whether insurance could better recognize farmers who build resilience on their land,” in founder Tina Owens’ words. But a broker who only brings this program to the clean books and never mentions it to the tough ones is going to have a short, awkward season. The honest conversation — your price may move, here’s why, and here’s the path to improving it — is the work now.

One boundary worth keeping: this program complements the federal system that still covers nearly 90 percent of corn and soybean acres. Nobody is being asked to walk away from federal crop insurance. The question you’re helping a client answer is narrower and more useful — does a field-level layer on top of it price their operation fairer than the county average does?

Where does the broker’s advice role grow?

Everywhere the data creates a decision. A county average gives a client nothing to act on; a field-level risk picture is a list of decisions — which fields to enroll first, which resilience investments pencil out against premium, how to document the operation so next year’s price reflects this year’s work. Brokers who can read that picture with a client become advisors on the land itself, not just clerks on a policy. That’s the same direction the rest of commercial lines is already moving: risk scoring is becoming the underwriter’s first language, and physical-hazard pricing is getting more granular every renewal cycle. Crop is now having its version of that conversation.

If you want the closest cousin already on this desk, it’s parametric cover — pricing and payout tied to measured conditions rather than averages and adjustment. The mechanics differ, but the broker skill is the same, and it’s the one walked through in the parametric trigger conversation and the broader explainer on parametric insurance and index-based risk transfer. Field-level crop pricing is that idea brought down to the dirt: measure the actual exposure, then price the actual exposure.

The timeline is workable. This is a 2027 crop year program with sign-up ahead of spring 2027. The brokers who will own it in their markets are the ones who spend this winter learning the field-data intake and having the cross-subsidy conversation early — before a competitor has it with their clients first.

FAQ

Is the Aon–SAGE program a replacement for federal crop insurance?
No. The program is designed to complement federal crop insurance, which still covers nearly 90 percent of U.S. corn and soybean acreage. It adds a field-level layer intended to match coverage to the value protected and the risk at the individual field.

Which growers can buy it, and when?
Corn and soybean growers in 15 states (the release does not name the states) for the 2027 crop year, with AgriCap as the preferred insurance partner. Growers and agents can review it ahead of the spring 2027 sign-up period at sage.ag.

How does SAGE price a field?
Its AI models combine soil, water, weather, and human-interaction data — billions of datapoints, per the company — to produce field-level risk and resilience signals, which Aon translates into insurance structures backed by risk capital.

What is the Michigan pilot actually testing?
Whether field-level intelligence can support crop insurance at scale. The four-county RALIC pilot, funded in part by the Michigan Department of Agriculture and Rural Development, covers more than one million acres (about 12 percent of Michigan farmland) and tests whether insurance can recognize and reward growers who build resilience on their land.

Will field-level pricing raise premiums for high-risk growers?
The release publishes no premium figures, so any specific number would be a guess. The arithmetic of leaving a county average is that prices move toward each field’s own risk — down relative to the average for lower-risk fields, up for higher-risk ones — which is why the resilience path matters: risk that can be shown to be reduced can be underwritten differently.

Sources

• Aon plc / SAGE press release, “Aon and SAGE Bring Field-Level Agricultural Intelligence to Crop Insurance,” GlobeNewswire, October 29, 2026. All program facts, figures, and quotes in this article are from that release; its acreage and coverage figures cite USDA Economic Research Service and USDA National Agricultural Statistics Service (Great Lakes Region) data.

This article is informational only and is not insurance, legal, or financial advice for any specific operation or policyholder.

Updated Nov 1, 2026 — added the free field-level quick card, 2027 crop sign-up pack, and field-level crop advisor downloads to this guide.