Google Cloud partners with EcoVadis to expand AI-driven supply chain insights

• EcoVadis chooses Google Cloud’s Gemini Enterprise to deploy agent AI and scale sustainability intelligence across global operations
• AI training across the workforce aims to improve productivity, with 89% of employees already using Gemini tools daily
• Partnership highlights the growing role of AI in ESG data, governance and supply chain risk management

EcoVadis expands its artificial intelligence capabilities through a new partnership with Google Cloud, placing agent AI at the center of its global sustainability assessment and supply chain intelligence platform.

The company plans to deploy Google Cloud’s Gemini Enterprise to improve operational efficiency and deepen the insights it provides to enterprise customers. The move reflects a broader shift to automation and AI-assisted analysis among ESG data providers as demand for supply chain transparency accelerates.

EcoVadis operates at the intersection of procurement, compliance, and sustainability. Its ratings are used by thousands of companies to assess supplier risk and performance. Scaling this model requires faster data processing, better knowledge management, and consistent output across regions.

Incorporate Agentic AI throughout your operations

This deployment focuses on agent AI, which allows systems to perform defined tasks with limited human intervention. EcoVadis plans to deploy both standardized and custom-built agents across key functions such as sales support, human resources processes, and internal request management.

These systems are expected to reduce administrative workload and allow teams to focus on higher-value tasks. Over time, the company expects internal teams to develop new use cases based on operational needs and domain expertise.

Deployment will be based on existing usage patterns. According to internal data, 89% of employees already use Gemini within Google Workspace every day. The new phase will introduce a structured training program to expand capabilities such as no-code and low-code agent development.

This approach lowers the barrier to AI adoption across your organization while maintaining access to engineering support for more complex applications.

Governance and ethics shape AI adoption

EcoVadis frames its AI strategy within a governance-driven model, with an emphasis on human oversight and ethical use. The company positions AI as an enabler of sustainability outcomes, rather than a replacement for expert judgment.

“When used responsibly, we believe generative AI will be fundamental to a company’s ability to grow, scale, and achieve its objectives, as it combines increased internal efficiency, improved knowledge management, and closer alignment to customer needs and expectations.” said Frank Soetebeer, CTO of EcoVadis, said:

The company also emphasized its focus on privacy and security, especially given the sensitivity of supplier data and ESG disclosures. AI systems are deployed within a controlled environment that aligns with corporate data protection standards.

This layer of governance is becoming important as regulators and investors scrutinize how AI is used in ESG reporting and decision-making.

Related article: Google launches Bay Area wetland restoration to advance carbon removal science

AI as a growth lever for the ESG market

For Google Cloud, this partnership reflects growing enterprise demand for AI infrastructure that can support domain-specific applications. ESG data often includes fragmented inputs and evolving standards, presenting a powerful use case for automation.

“We consider EcoVadis to be a pragmatic pioneer in agent AI who knows how to unlock the benefits of our technology both to increase internal operational efficiency and increase customer value. EcoVadis is a true leader in using AI to drive innovation and growth. ” said Anthony Cirot, Vice President, EMEA South, Google Cloud:

The partnership also signals a shift in competition among ESG platforms. Providers are under pressure to deliver insights faster, integrate diverse data sets, and support real-time decision-making for procurement and compliance teams.

AI-driven workflows can reduce turnaround time and improve consistency, especially in large, multi-tier supply chains.

What this means for business owners and investors

For executives, integrating AI into ESG platforms is moving from experimentation to execution. Companies that rely on supplier assessments will increasingly expect faster and deeper insights supported by automation.

From a governance perspective, the emphasis on ethical AI deployment and human oversight reflects increased attention from regulators. Boards need to ensure that AI systems used for ESG reporting meet standards of transparency and accountability.

For investors, this development signals the continued convergence of technology infrastructure and sustainability markets. Platforms that can scale data analytics while maintaining trust and compliance can provide a competitive advantage.

Global impact on sustainable supply chains

This partnership highlights how AI is reshaping the way global supply chains work. As sustainability requirements expand across jurisdictions, companies need tools that can handle large amounts of data while adapting to evolving standards.

EcoVadis’ move suggests that agent AI has the potential to become a core layer of ESG infrastructure, supporting both operational efficiency and strategic decision-making.

In a market defined by complexity and regulatory pressures, the ability to scale insights without compromising governance may determine which platforms lead the next stage of sustainable supply chain transformation.