AGRIVI AI Engage Award 2026 marks the recognition of AGRIVI AI Engage as the 2026 “Agronomy Solution of the Year” by AgTech Breakthrough. The award recognises an AI Workforce business model that gives agricultural organisations more capacity for advisory, farmer engagement, data collection and commercial follow-up.
Key Takeaways – AI Engage
- AGRIVI AI Engage received the 2026 “Agronomy Solution of the Year” award in the Internet-of-Things and AI section.
- AGRIVI uses AI Engage to deploy agriculture-specific AI agents across agronomy, sales, supply chains, and public advisory.
- The AI Workforce business model adds capacity around existing teams, while people remain responsible for expert decisions and relationships.
- Selected deployments have reported 3x farm reach, approximately 70% of new sales originating from farmers first engaged through the AI agent, and 20% upsell uplift.
- AI Workforce sits within AGRIVI’s Agriculture Data and Intelligence Foundation alongside AGRIVI 360 FMS, external agricultural data, and enterprise systems.
Why the AGRIVI AI Engage Award 2026 Matters
The recognition matters because agronomy needs more than a general AI interface. Advice depends on crop context, timing, local conditions, product knowledge, and trusted expertise.
For that reason, AI Engage works with a verified knowledge base prepared with the organisation that deploys it. Farmers can ask questions through WhatsApp, Viber or the web. They can also communicate in their local language.
At the same time, the organisation stays behind the service. Agronomy, commercial and advisory teams keep responsibility for oversight and follow-up. Therefore, complex cases can move to the right person when expert judgement is needed.
In practice, the model helps organisations make trusted knowledge available to more farmers. It also keeps farmer conversations connected to the teams responsible for the relationship. The AI advisory deployment guide explains the implementation model in more detail.
What AI Engage Does
AI Engage is the branded product through which AGRIVI deploys agriculture-specific AI agents. These agents can take on defined roles across the agri-food ecosystem.
For agricultural input companies, an AI Agronomist can answer questions about crops, nutrition, crop protection, and product use. Meanwhile, an AI Sales Representative can support product communication and identify commercial interest. Relevant conversations can then move to sales or agronomy teams.
For food companies, an AI Supply Chain Manager can support regular communication with growers and suppliers. In addition, it can collect field information and support sourcing workflows that otherwise require many calls, messages and manual checks.
For ministries, public institutions and development organisations, an AI Public Advisory Agent can extend agricultural guidance to larger farmer populations. As a result, access to advice depends less on the number of available human advisors.
These roles use the same business model. The organisation gains additional capacity, while its people remain responsible for specialist decisions and relationships.
How AI Workforce Adds Capacity
The capacity problem is practical. One agronomist, salesperson or procurement specialist can work effectively with only a limited number of farmers.
However, many organisations need regular contact with thousands or tens of thousands of farms. The challenge grows when communication must continue throughout the season.
AI Engage adds the capacity that is missing.
For example, a farmer may need nutrition advice today and crop protection guidance next week. Later, the same farmer may ask about a product or need specialist support. Meanwhile, a food company may need frequent updates from hundreds of suppliers.
AI agents add a working layer around those teams. They can handle recurring interactions, provide access to approved knowledge, and collect information continuously.
When a case needs human judgement, the conversation can move to the appropriate expert. Therefore, teams can spend more time on work where expertise, relationships or decisions matter most.
AGRIVI also manages the operational layer around the service. This includes setup, knowledge-base configuration and verification, channel implementation, launch, monitoring and ongoing improvement.
Consequently, organisations can introduce the model without first building a separate AI platform or a new internal technical team. The current product overview provides more detail on the AI Engage offer.
Agriculture Data and Intelligence Foundation
AI Workforce is one layer of AGRIVI’s broader Agriculture Data and Intelligence Foundation. The architecture connects agricultural records, operational workflows, intelligence, and action.
AGRIVI 360 FMS provides the system of record and system of action for farm and field operations. It brings together farm and field records, farm economics, planning, operations management, monitoring, insights, compliance, sustainability, traceability, reporting, and intelligence.
Meanwhile, the AI Workforce layer adds farmer engagement, 24/7 advisory, AI data collection and intelligence. Defined AI agent roles extend capacity around the people and teams using that foundation.
The architecture can also connect external agricultural data sources. These include weather stations, farm sensors, satellite imagery, drone imagery and pest traps.
In addition, AGRIVI can connect with ERP and other enterprise systems. Together, these layers strengthen the link between what happens in agriculture and what organisations do next.
AGRIVI AI Engage Award 2026: Commercial Proof
AGRIVI AI Engage Award 2026: Commercial proof is visible in selected deployments. AGRIVI clients using AI Engage have reported 3x farm reach. Approximately 70% of new sales originated from farmers first engaged through the AI agent. The same deployments reported 20% upsell uplift.
These results matter because they connect the AI channel with farmer reach and commercial behaviour. By contrast, conversation volume alone does not show whether the model creates business value.
Instead, organisations can measure whether they reach more farmers, identify qualified interest and connect relevant conversations with commercial or agronomy teams. The AI advisory ROI framework sets out a broader measurement approach.
Therefore, the results provide useful context for the award. More importantly, they show how additional advisory capacity can translate into measurable outcomes.
“AGRIVI AI Engage meets farmers through the channels they already use, and the business results validate the business model. Clients using our solution have achieved three times the farm reach within existing sales territories, with approximately 70% of new sales originating from farmers first engaged through the AI agent, alongside a 20% uplift in upsell performance.
We are grateful to AgTech Breakthrough for this recognition. Our mission is to support the agri-food industry with digital solutions that contribute to sustainable and profitable food production. AGRIVI AI Engage gives our clients a proven path to creating value at farm level through a channel farmers already use. That is the difference.”
Matija Zulj, CEO of AGRIVI
Recognition Across the 2026 AgTech Awards
AGRIVI received the award in the Internet-of-Things and AI section of the AgTech Breakthrough Awards. The organiser’s 2026 winners list also includes major agriculture companies and specialist AgTech businesses.
Corteva Agriscience, Kubota Tractor Corporation, Netafim and Reinke Manufacturing are among the recognised companies. Inari, Saga Robotics, AgZen and Intelinair also appear in the 2026 programme.
In addition, AgTech Breakthrough states that its published judging process assesses Innovation, Performance, Ease of Use, Functionality, Value and Impact. The organiser selects one winner for each award.
This wider context shows the range of technologies represented in the programme. However, AGRIVI’s recognition remains specific: 2026 “Agronomy Solution of the Year”.
What the AGRIVI AI Engage Award 2026 Means for AI Workforce
AGRIVI was publicly discussing its white-labelled AI agronomic advisor in 2023. Since then, the product has developed into a broader model for defined AI roles in agriculture.
AI Engage remains the branded product. However, the wider AI Workforce approach now covers roles across agronomy, sales, agricultural supply chains and public advisory.
At the same time, AGRIVI 360 FMS provides the trusted farm and field foundation behind planning, operations, economics, monitoring and insights.
Agricultural organisations need reliable data about what is happening across farms and fields. They also need enough capacity to turn that information into communication, decisions and action.
Therefore, AGRIVI’s Agriculture Data and Intelligence Foundation connects those requirements. It brings together data, workflows, intelligence and AI-supported capacity around a common agricultural context.
Agronomy. Operations. Economics. Connected.
Frequently Asked Questions
What award did AI Engage win?
AGRIVI AI Engage was named 2026 “Agronomy Solution of the Year” by AgTech Breakthrough in the Internet-of-Things and AI section.
What is AI Engage?
It is AGRIVI’s branded product for deploying agriculture-specific AI agents. The agents support farmer engagement, agronomic advisory, data collection, and commercial or operational workflows.
How does AI Engage relate to AI Workforce?
AI Engage is the branded product used to deploy defined AI Workforce roles. The broader model includes AI Agronomist, AI Sales Representative, AI Supply Chain Manager, and AI Public Advisory Agent roles.
Does the model replace agronomists or other specialists?
No. The business model adds capacity around existing teams. People remain responsible for expert decisions, relationships and business processes.
What results have clients reported?
Selected deployments have reported 3x farm reach, approximately 70% of new sales originating from farmers first engaged through the AI agent, and 20% upsell uplift.
AGRIVI AI Engage
See how the solution supports agricultural organisations and farmer networks in the product overview.
