Leah Partners with Oracle and PwC to Scale Agentic AI Platform Globally

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Leah has partnered with Oracle and PwC to accelerate global expansion of its Agentic OS platform that autonomously handles legal, procurement, finance, and contracting workflows. The enterprise AI platform expects to achieve up to 30% performance improvement and 40% reduction in cloud operating costs while serving over 400 enterprise customers across regulated industries.

Leah Selects Oracle Cloud Infrastructure for Global Agentic AI Expansion

Leah has chosen Oracle Cloud Infrastructure (OCI) to power the global expansion of Leah Agentic OS, its enterprise AI platform that autonomously executes legal, contracting, procurement, and finance workflows end-to-end.

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Working with Oracle and PwC, the company expects to improve platform performance by up to 30% and reduce cloud operating costs by up to 40% as it scales its autonomous business processes globally.

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Founded in 2015, Leah currently serves more than 400 enterprise customers, helping them modernize operations across legal, procurement, finance, and commercial functions.

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Why Enterprises Need Infrastructure Built for Agentic AI

As enterprises shift from AI experimentation to production-scale deployment, the demand for cloud infrastructure capable of supporting mission-critical workloads has intensified. According to Sarvarth Misra, co-founder and CEO of Leah, "Organizations are looking beyond AI that simply assists people to intelligent systems that can autonomously execute complex business processes while maintaining the governance, security, and trust enterprises require."

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This shift fundamentally changes infrastructure requirements, with customers demanding sovereignty, performance, and the ability to deploy wherever their data must reside. The partnership addresses these needs through OCI's distributed and sovereign cloud capabilities, which enable Leah's customers to run solutions in their own environments and preferred regions while maintaining complete data control.

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Source: CXOToday

Source: CXOToday

How Maestro Super Orchestrator Coordinates Autonomous Legal Workflows

The Agentic OS platform includes Maestro, Leah's generally available super orchestrator that coordinates agents, workflows, and automation across enterprise systems.

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These AI-autonomous systems run autonomous legal workflows, contracting, procurement, and finance processes from start to finish, securely accessing authorized enterprise data throughout.

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Critically, the agents operate within customer-defined security controls, access policies, monitoring requirements, and human oversight processes specifically designed for enterprise workloads.

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A key differentiator is that customer data is never used to train third-party AI models, addressing a primary concern for regulated industries exploring AI adoption.

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PwC Leads Implementation with Industry Expertise

As a member of the Oracle PartnerNetwork, PwC is leading the implementation and expanding its collaboration with Leah to provide industry, functional, and technology expertise.

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Manpreet Singh Ahuja, chief clients and industries officer at PwC India, noted that organizations are moving beyond task-level automation toward broader AI-enabled business transformation.

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The collaboration helps deliver enterprise-grade security while meeting customer requirements for AI oversight and controls. Kevin Sullivan, global and U.S. Oracle practice leader at PwC, emphasized that business leaders worldwide seek an ecosystem combining technology vendors and trusted expertise to deliver measurable outcomes at scale.

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What This Means for Enterprise AI Deployment

Shailender Kumar, senior vice president and regional managing director at Oracle India and NetSuite JAPAC, highlighted the growing demand for cloud infrastructure supporting performance and security requirements as organizations transition from experimentation to production.

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The partnership positions Leah to bring its enterprise AI platform to every region and regulated industry requiring autonomous workflow capabilities with enterprise-grade security. Watch for increased deployment across sectors where data sovereignty and compliance are non-negotiable, particularly in finance, legal services, and government contracting. The collaboration signals a maturation point where agentic AI moves from proof-of-concept to operational backbone for critical business functions.

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