As enterprises scale the use of artificial intelligence across critical business functions, managing risk and ensuring compliance has become a top priority. A new collaboration focused on AI risk control aims to help organizations move beyond policy driven governance toward measurable, technical validation of AI systems in production environments.

LatticeFlow AI, a Switzerland based company specializing in AI trust, risk, and security management, has announced a partnership with SAP to enhance how enterprises monitor and control AI risks. The collaboration is designed to provide businesses using SAP solutions with the tools needed to translate regulatory frameworks and governance policies into verifiable technical assessments.

The partnership addresses a growing challenge in enterprise AI adoption. As organizations deploy autonomous agents, copilots, and machine learning models across operations, traditional governance methods based on checklists and static policies are no longer sufficient. Enterprises now require continuous, evidence based insights into how AI systems behave, perform, and evolve in real world environments.

Through this collaboration, LatticeFlow AI’s platform is now available on SAP Store, enabling SAP customers to integrate advanced AI evaluation capabilities into their workflows. The platform allows organizations to map standards such as ISO IEC 4200x requirements into technical assessments that can be applied consistently across AI systems developed or deployed within SAP ecosystems.

Dr. Petar Tsankov, CEO and Co Founder of LatticeFlow AI, highlighted the importance of providing actionable insights into AI behavior. “Managing AI security & risk requires deep technical insight into how AI systems actually behave, not checklists or dashboards,” said Dr. Petar Tsankov, CEO and Co-Founder of LatticeFlow AI. “Through our partnership with SAP, we can bring deep technical risk and security evaluations to enterprise environments, giving organizations clear visibility into how autonomous agents and AI applications perform and evolve in production.”

The platform supports the evaluation of a wide range of AI systems, including agentic AI, foundation models, and custom applications such as chatbots and copilots. It tracks changes in performance, security, and reliability as models are fine tuned, customized, or integrated into enterprise systems. This capability is particularly important as organizations increasingly combine proprietary, third party, and open weight models within regulated industries.

The partnership also aligns with evolving regulatory requirements, including the European Union AI Act. By providing objective and verifiable evidence of AI performance and risk, the platform helps organizations demonstrate compliance and maintain transparency in their AI operations.

Dr. Sean Kask, Chief AI Strategy Officer at SAP, emphasized the need for measurable oversight in enterprise AI adoption. “As organizations increasingly create their own AI use cases for critical workflows, they need technical evidence to understand and manage how risks evolve in practice,” said Dr. Sean Kask, Chief AI Strategy Officer at SAP. “By partnering with LatticeFlow AI, businesses that use SAP solutions can gain access to deep technical assessments that deliver verifiable evidence on AI performance and risk, supporting trustworthy AI adoption across regulated industries.”

By enabling organizations to continuously evaluate AI systems across their lifecycle, the collaboration reflects a broader shift toward operationalizing AI governance at scale. As enterprises expand their use of autonomous systems, the ability to implement consistent and measurable AI risk control will be essential for maintaining trust, compliance, and security.

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