Leah Partners with Oracle, PwC to Accelerate Global Agentic AI Expansion

In August 2026, Leah selected Oracle Cloud Infrastructure (OCI) to help support the global expansion of Leah Agentic OS, its enterprise platform for legal, contracting, procurement and finance workflows. The platform also includes Maestro, which is Leah’s super orchestrator for coordinating agents, workflows and automation across enterprise systems.

Founded in 2015, Leah serves more than 400 enterprise customers across legal, procurement, finance and commercial operations. As enterprises expand the use of AI for business process automation, Leah selected OCI, working with PwC, to support its platform’s global expansion. The company expects the move to improve platform performance by up to 30 per cent and reduce cloud operating costs by up to 40 per cent.

OCI’s distributed and sovereign cloud capabilities support Leah’s deployment model, allowing customers to run the solution in their own environments and preferred regions while maintaining control of their data. Leah also said that customer data is not used to train third-party AI models. Leah’s agents execute legal, contracting, procurement and finance workflows end to end while accessing authorized enterprise data. The agents also operate within customer-defined security controls, access policies, monitoring requirements and human-oversight processes.

Impact on the ICT Market

The Agentic OS is designed to run legal, contracting, procurement and finance workflows end to end. Its agents can securely access authorized enterprise data while also seamlessly operate within customer-defined security controls, access policies, monitoring requirements and human-oversight processes. The platform also includes Maestro, which is Leah’s generally available super orchestrator. It helps co-ordinate agents, workflows and automation across enterprise systems.

This also gives the platform a clear Agentic AI focus. Rather than being positioned only as an AI tool for individual tasks, Leah Agentic OS is built around broader business processes that can be executed by Autonomous AI agents. For enterprises, the focus thus shifts from what AI can assist with to how much of a workflow it can execute within defined controls.

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is experiencing significant growth, led by rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

According to Precedence Research, connectivity and compatibility with ERPs, CRMs, and Supply Chain Management systems are important accelerants for the adoption of AI tools in enterprises, especially when the tool works natively on the enterprise information systems that exist, so the enterprise can realize value quickly. Organizations are under pressure to reduce costs, reduce mistakes in processes, and improve return on investment. Agentic AI automates repetitive, resource-consuming tasks with greater accuracy and smarts that improve efficiencies and free up employees to do the strategic portions of their jobs.

The agentic AI in the enterprise operations market is further driven by the shift to hyper-personalization at scale. Unlike legacy automation approaches, agentic AI can learn user preferences dynamically, autonomously reconfigure workflows, and respond contextually across various enterprise functions. The growth of agentic AI is, to a certain extent, tied to the growing demand for organizations to make autonomous decisions. Agentic AI offers organizations the potential for lower manual intervention in tasks, contributory workflows, and acquisition agility in open environments. Initial applications that can be observed are real-time uses of agentic AI, such as AI-driven intelligent customer service agents, financial risk assessments, autonomous supply chain and logistics platforms, and workflows.

Impact on the Cloud Infrastructure Services Market

The global cloud infrastructure services market size accounted for USD 166.51 billion in 2025 and is predicted to increase from USD 194.82 billion in 2026 to approximately USD 766.57 billion by 2035, expanding at a CAGR of 16.50 % from 2026 to 2035.

According to Precedence Research, the market is driven by growing adoption of artificial intelligence, increasing demand for scalable computing, and rising enterprise digital transformation. Cloud providers invest heavily in security measures and compliance certifications. This enhances data protection, access control, and regulatory compliance, addressing concerns related to the security of sensitive information and ensuring adherence to industry-specific regulations.

The expanding landscape of edge computing is also further helping to create significant opportunities for the cloud infrastructure services market. As edge computing gains prominence, there is a growing need for decentralized infrastructure that brings computational power closer to data sources. Cloud infrastructure services can now capitalize on this trend by developing solutions tailored to edge environments. Offering scalable and flexible resources for processing data at the edge allows businesses to optimize performance, reduce latency, and enhance overall efficiency. Cloud providers that strategically position themselves to meet the demands of edge computing scenarios can unlock new revenue streams and cater to industries requiring real-time data processing capabilities.

Expert Opinion

“There is increasing demand for cloud infrastructure that can support the performance and security requirements of enterprise workloads as organizations move from AI experimentation to production-scale deployment,” said Shailender Kumar, senior vice president and regional managing director, Oracle India and NetSuite JAPAC. 
“Oracle Cloud Infrastructure provides Leah with the infrastructure to build and scale its AI applications. Together with PwC, we’re helping Leah’s customers leverage AI to advance their business initiatives.”