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Economic

Governance & Economic

UPL is committed to creating long-term economic value through sustainable growth, operational discipline and innovation. We focus on building a resilient and future-ready business while creating value for our stakeholders across the agricultural value chain. Through our global presence, strong customer relationships and growing portfolio of sustainable agricultural solutions, we remain focused on delivering enduring value for farmers, customers, partners, employees and shareholders.

Risk Management

UPL is committed to creating long-term economic value through sustainable growth, operational discipline and innovation. Our Enterprise Risk Management (ERM) framework strengthens business resilience and supports informed decision-making, while we focus on creating value for farmers, customers, partners, employees and shareholders.

Mitigating Risk Effectively

UPL’s risk management system provides a different approach to every entity, geography and business line. As a global organisation operating across diverse markets and regulatory environments, UPL takes a proactive approach to risk management. Our Enterprise Risk Management (ERM) framework helps identify emerging and existing risks, evaluate their potential impact and implement appropriate mitigation measures to strengthen resilience and protect stakeholder value.

Risk Management Process

We at UPL have established a robust and integrated risk management system to consistently evaluate, assess, and monitor significant risks associated with our business activities. Our risk management process is aligned with our strategic objectives, considers emerging megatrends, incorporates input from internal and external stakeholders, and includes industry-specific analysis. This system adheres to internationally recognized risk management standards, such as ISO (International Organization for Standardization) and COSO (Committee of Sponsoring Organizations of the Treadway Commission).

Risk Management Process

Emerging Risks

Emerging Risks

Beyond the principal risks identified across our business, UPL also tracks emerging risks that are still developing but could become material over time. As a sustainable Agri solutions company, we recognise two key emerging risks: the loss of biodiversity on which agriculture depends and the adverse outcomes that can arise as we scale digital and artificial intelligence technologies.

UPL’s Top Two Emerging Risks

  1. Biodiversity Loss & Ecosystem Collapse

    • Risk Category: Environmental

    • Description: The global food system is a primary driver of biodiversity loss, with intensive agriculture among the leading threats to species extinction. Degradation of ecosystems, soil health, pollinators and habitats can reduce crop productivity and undermine the long-term resilience of agricultural systems.

    • Impact:

      • - Environmental
      • - Operational
      • - Financial
      • - Legal/ Regulatory
      climate change

    • Mitigating actions

        Preventive and Mitigation main actions to control Process Safety events are as mentioned below :

      • 1. ProNutiva® combines BioSolutions, including biocontrol, biostimulants, soil health and innovative nutrition, with conventional crop protection.

      • 2. Improve climate resilience, pest and disease resistance, soil health and fertility, and water use while reducing residues.

      • 3. Protect farmer economics and meet evolving food-chain requirements.

      • 4. Regenerative and Sustainable Agriculture programmes cover over 100,000 hectares globally.

      • 5. Projects across the food value chain covered approximately 2.6 million hectares in 2025.

  2. Adverse outcomes of AI technologies

    • Risk Category: Technology

    • Description: As UPL expands its focus on digital solutions, unintended AI outcomes could increasingly threaten the way we operate. This technological risk arises where artificial intelligence models deployed across our business processes are incorrect, biased or malfunctioning, producing flawed recommendations or unreliable automated decisions.

    • Impact:

      • - Financial
      • - Operational
      • - Reputational
      • - Legal/Regulatory
      Changes in market dynamics

    • Mitigating actions

      • 1. Distinctly label artificial intelligence-generated content and artificial intelligence-driven decisions.
      • 2. Deploy mechanisms to detect and correct model drift or degradation over time.
      • 3. Conduct regular fairness and bias assessments of deployed models.
      • 4. Keep humans “in the loop” for critical decisions.
      • 5. Respect data privacy in the use and development of artificial intelligence.

Please refer our Annual Report to further understand UPL’s Risk Management Process and to know more about other Emerging Risks :

Download-pdf UPL Annual Report 2025-26 (https://www.upl-ltd.com)

DISCLAIMER

“UPL and its subsidiaries have made every attempt to ensure accuracy of the information provided on this website. However, this is a global webpage with access to different geographies for wider reach and greater awareness of UPL. In the course of doing the same, UPL has used Weglot translator plugin to cover the language of this website from English to select regional languages.

UPL therefore, does not accept any responsibility or liability on the nature, standard or the accuracy of the translation and cannot take responsibility for any type of inaccurate contextual meaning in the event of a mismatch from English to a regional language.”

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