PwC and Leah Partner to Deploy Autonomous AI Agents in Business Services
- Strategic Partnership: PwC UK and Leah collaborate to deploy autonomous AI agents in business services.
- Market Trend: Majority of large companies plan to deploy agentic AI within the next two years.
- Technology Shift: Agentic AI moves beyond traditional automation (RPA) to autonomous, goal-driven systems.
Experts view this partnership as a significant step toward integrating autonomous AI agents into core business operations, transforming enterprise functions from cost centers into agile, outcome-driven hubs.
PwC and Leah Partner to Deploy Autonomous AI Agents in Business Services
LONDON, UK – February 10, 2026 – In a move signaling a significant shift in enterprise technology, consulting giant PwC UK has announced a strategic partnership with Leah, a pioneer in Agentic AI. The collaboration aims to integrate Leah's Agentic Operating System (OS) with PwC's deep industry expertise to design and deploy coordinated teams of AI agents, fundamentally reshaping how Global Business Services (GBS) operate.
This partnership moves beyond the incremental gains of traditional automation, promising to re-architect core business processes around autonomous, goal-driven AI. Instead of simply automating repetitive tasks, the initiative will build new operating models where intelligent agents can reason, act, and collaborate across entire enterprise functions like finance, procurement, and HR.
The Dawn of the Agentic Enterprise
The collaboration hinges on a technology known as Agentic AI, a paradigm that represents a leap beyond established automation tools like Robotic Process Automation (RPA). While RPA excels at executing pre-programmed, rule-based tasks, agentic systems are designed for autonomy. Powered by large language models (LLMs) that act as a reasoning 'brain,' these AI agents can understand complex goals, make independent decisions, and adapt their actions to achieve desired outcomes with limited human supervision.
An Agentic Operating System, like the one developed by Leah, acts as the command-and-control layer for these systems. It orchestrates multiple agents, allowing them to work in concert across different software applications and business units. This creates a cohesive, intelligent infrastructure capable of managing end-to-end processes, from financial closing to supply chain optimization.
The enterprise market is taking notice. Recent industry surveys indicate a surge in interest, with a majority of large companies planning to deploy agentic AI within the next two years. This partnership between a leading technology provider and a global consulting firm is set to accelerate that trend, moving agentic systems from experimental labs into the core of business operations.
“We see Agentic playing a key role in creating value for organizations as they reimagine their business models,” said Jonathan House, Head of Consulting at PwC UK. “Our clients are looking for operating models where intelligent agents work together across critical business functions, not tools that solve individual tasks in isolation. Leah’s Agentic OS gives us a platform that can support coordinated, agent-driven work at the scale our clients require.”
Transforming Global Business Services
For decades, Global Business Services and shared service centers have been primarily focused on standardization and cost reduction. This new approach promises to transform these functions from back-office cost centers into agile, outcome-driven hubs of enterprise value.
By deploying coordinated AI agents, organizations can reimagine how work gets done. For example:
- In Finance: An agentic system could manage the entire procure-to-pay cycle autonomously. It could identify the need for a purchase, select a compliant vendor based on performance data, negotiate terms within predefined parameters, process the invoice, and reconcile the payment, flagging only complex exceptions for human review.
- In Human Resources: The employee onboarding process could be orchestrated by AI agents that provision system access, schedule orientation meetings, assign mandatory training, and answer new-hire questions, ensuring a consistent and efficient experience.
- In Procurement: Leveraging Leah's deep roots in contract management, agents can monitor thousands of supplier contracts for renewal dates, compliance with service-level agreements (SLAs), and potential risks, initiating renegotiations or sourcing alternatives proactively.
The goal is to create a continuously improving system. The AI agents learn from each transaction and interaction, becoming more efficient and effective over time. This shifts the focus of human employees away from tedious process management and toward higher-value strategic analysis and decision-making.
From Contracts to Coordinated Intelligence
The partnership also highlights the strategic evolution of Leah itself. The company, formerly known as the award-winning ContractPodAi, built its reputation as a leader in AI-powered Contract Lifecycle Management (CLM). Its consistent recognition as a Visionary by Gartner for five consecutive years underscored its strength in automating complex legal and procurement workflows.
However, the company's rebrand to Leah signaled a broader ambition: to provide the foundational operating system for enterprise-wide intelligence. This pivot from a specialized application to a horizontal platform reflects a growing market demand for integrated AI solutions that can break down functional silos.
“Leah brings the domain expertise organizations need to define their AI strategies and the operating system to put those strategies into practice,” said Sarvarth Misra, CEO and co-founder of Leah. “Working with PwC UK and embedding Leah Agentic OS allows us to help clients move from experimentation to scalable, agent-driven operating models.”
This collaboration builds upon an existing alliance, solidifying Leah's role as a key technology partner in PwC UK's AI-led transformation agenda. For the wider industry, it validates the move away from deploying narrow, task-specific AI tools toward embracing comprehensive agentic platforms designed to orchestrate work across the modern enterprise. Together, the two firms aim to provide a clear pathway for organizations to embed intelligent, autonomous systems into the very fabric of how their business runs.
