Enterprise AI adoption is entering a new phase. After investing in generative AI pilots and testing different models, companies are now facing a more complex question: how can they integrate these technologies into daily operations without losing control over data, decisions, and accountability?
Straive is addressing that challenge through a new partnership with Anthropic, aimed at helping enterprises build, deploy, and operate AI solutions across business workflows.
The agreement brings together Anthropic’s work on safe and responsible AI with Straive’s expertise in data engineering, domain-specific solutions, and AI operationalization. The collaboration will focus on helping organizations move AI applications into production environments while establishing the governance and human oversight required to manage them.
For enterprises, the challenge extends beyond selecting an AI model. Successful implementation also depends on preparing data, redesigning workflows, identifying where human intervention is necessary, and maintaining systems as business requirements change.
Building the infrastructure for enterprise AI
Straive’s approach is structured around its Build AI and Run AI capabilities, which cover different stages of enterprise AI implementation.
The Build AI component focuses on data readiness, domain expertise, and solution design, while Run AI addresses deployment, governance, human oversight, and continuous improvement.
Together, these capabilities are intended to help organizations connect AI technologies with specific operational requirements rather than treating implementation as a standalone technology project.
“Responsible AI has to be built into how a solution is designed, deployed, and used every day,” said Naveen Gattu, Chief Growth Officer at Straive.
Gattu said the partnership combines Anthropic’s focus on safe AI with Straive’s operational expertise to help enterprises implement useful applications while maintaining appropriate governance.
The collaboration also highlights a growing consideration for businesses adopting generative AI: deploying a model is only one part of the process. Companies must also establish the infrastructure and processes that determine how AI interacts with employees, customers, and business-critical information.
Straive works with organizations across financial services, healthcare and life sciences, manufacturing and supply chain, media and entertainment, education and research, and publishing.
These sectors have different data requirements and operational constraints, making industry-specific implementation an important part of enterprise AI adoption.
Through the Anthropic partnership, Straive will work to connect AI capabilities with these specialized workflows, defining where human involvement remains necessary and how deployed solutions can adapt as organizational needs evolve.
“Enterprises need a clear path from AI capability to responsible use in their operations,” said Sean Manning, VP and Global Head of Partnerships at Straive.
Manning noted that the collaboration will address the data, workflow, and governance requirements that become particularly important when AI systems move into production.
The partnership comes as enterprise AI providers increasingly focus on the operational layer surrounding generative AI. While model performance remains important, organizations also need reliable data foundations, integration capabilities, and oversight mechanisms to make adoption sustainable.
For companies such as Straive, this creates an opportunity to help enterprises bridge the gap between AI experimentation and the deployment of systems that can support everyday business activities.
