Rachael Sharp, a certified seed grower in Allendale, South Carolina, is using artificial intelligence to make real-time decisions about logistics, recordkeeping and certified seed management - operational areas that rarely surface in the broader AI conversation. The shift from instinct to instant analysis is cutting paperwork, sharpening profitability and reclaiming hours of time on her family's multigenerational farm.
Sharp didn't study agriculture. She earned a law degree after concentrating in English at the University of Georgia, then returned to the farm to help with bookkeeping. That role grew into a partnership in Sharp & Sharp Certified Seed, and now she leads the operation's AI integration - an unlikely path that has drawn attention from OpenAI itself.
From clipboards to real-time records
Certified seed production depends on precise documentation: germination rates, lot numbers, field histories, compliance reports. Sharp used to manage that with spreadsheets and paper. Now she speaks field notes into her phone. She uses ChatGPT to log planting dates, track certified seed lots and organize storage inside her facilities.
"I'll say, 'record that on May 11, 2026 I'm planting peanuts in the field behind the house,'" Sharp says. "Then when it's time to turn in my 578 to FSA… it pops up with farm number, track number, field number, when it was planted. Something that used to take hours to do… it's already done."
The system also monitors germination results and sends reminders. "It'll tell me this is the lot number you need to plant because the germ is this… or it'll remind me to take another sample to the seed lab," she says. In a business where traceability is non-negotiable, AI has become an operational backbone.
Decisions get sharper
Beyond recordkeeping, Sharp feeds transportation costs, elevator prices and delivery options into the system to remove guesswork from grain movement. "I don't have to guess whether it's going to be more profitable for me to go to Newberry or Monetta or the port in Charleston," she says. "It tells me the best bet based on the price." That real-time data replaces gut instinct in logistics and recordkeeping, a pattern familiar in AI for Operations.
She also leans on nearly a decade of historical farm data to plan crop rotations. "I put in all the data from 2015, and it gives me a list of where I need to put stuff and explains why," she says. "I don't always go with it, but 95 or 96% of the time, it's spot on." The technology isn't replacing her judgment - it's fine-tuning it.
Time back where it matters
For Sharp, the most meaningful impact isn't a yield bump or a cost line item. It's time. "It frees up my time… so at the end of the day I'm not sitting in the office doing paperwork filthy from being outside in the field," she says. "It frees up my time to be a human." That matters even more with her first child due later this year.
Small, tangible benefits add up. When equipment needs repair, she uploads manuals and gets instant answers. "That computer can't turn the wrench," she says. "But it can tell you which one to use."
Sharp's use of AI stayed personal until she briefly mentioned it during a Clemson AgTech forum. Months later, OpenAI called - a call she nearly dismissed as spam. Within a week, a film crew documented her operation, and the resulting video aired during major broadcasts including the Super Bowl. The exposure led to speaking engagements and a meeting with Oprah Winfrey at an event focused on AI and small business.
What comes next
Sharp is exploring ways to connect AI with irrigation systems to improve water use efficiency and to plan infrastructure upgrades. "I'm using it as kind of an architectural friend," she says. "(I ask it) Is it better to go this way or that way? And it'll tell you why."
Integrating data from equipment platforms remains a challenge, and she sees room for improvement in mapping and system compatibility. Even so, AI has moved beyond research labs and breeding programs. On her farm, it's a daily decision engine - one that handles the precision, documentation and timing that certified seed demands.
Why this matters for operations professionals
Sharp's experience shows that AI can cut the administrative burden of compliance, traceability and logistics in environments far from a corporate office. It doesn't replace human judgment - it feeds better information, faster, freeing up time for the work that requires a person on the ground. The tools are already in reach, and they're proving themselves in the dirt, not just in the data center.
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