Uniphore, a Business AI company, and KPMG LLP have announced a strategic collaboration to integrate AI agents into KPMG’s internal operations and client-facing services, aiming to advance the firm’s transition from AI pilot programs to production-scale deployment.
The collaboration will leverage Uniphore’s Business AI Cloud, a platform designed for agentic AI and fine-tuned small language models (SLMs), to develop AI agents. These agents will support clients in regulated industries such as banking, insurance, energy, and healthcare. The platform features a sovereign, composable, and secure architecture, ensuring integration with KPMG’s existing enterprise systems and data environments while adhering to governance and compliance standards crucial for regulated sectors.
This initiative is part of KPMG’s broader strategy to empower its global workforce with AI-enabled delivery models, enhancing its consulting expertise with AI execution embedded within core business processes. Prasad Jayaraman, advisory principal at KPMG, stated, “We are thrilled to align with Uniphore’s vision for AI as a transformative force for business as we focus on helping clients move from AI experimentation to real operational value. Working together with Uniphore to use AI to transform regulated industries supports our mission to embed business AI into how work gets done, in a way that is governed, scalable and aligned with client needs.”
A primary goal of the collaboration is to evolve how expertise is applied and scaled. KPMG is developing a model where its consulting teams are trained to design, deploy, and govern AI agents, combining human judgment with AI execution to deliver client outcomes. Umesh Sachdev, CEO and co-founder of Uniphore, commented, “Business AI proves its value in production, where enterprise environments are complex, regulated, and deeply interconnected. Our work with KPMG enables a repeatable process for running AI inside real enterprise workflows, so organizations can scale how people and AI work together and drive outcomes.”
Uniphore’s Business AI Cloud will support KPMG in several key areas, including encoding institutional knowledge, regulatory frameworks, and process playbooks into industry-specific SLMs. It will also facilitate the deployment of governed AI agents across functions such as procurement, workforce optimization, finance, claims, and customer experience. The platform will support both horizontal solutions and industry-specific use cases across sectors like oil and gas, financial services, healthcare, and telecommunications. This approach centers on an SLM factory model, transforming traditional knowledge work into scalable, reusable AI systems.
Among the initial solutions being developed by KPMG through this partnership is an AI agent-powered procurement and contracting capability. These agents are designed to classify high-value contracts, compare terms against approved standards, extract obligations, flag risks, and route exceptions for human review. By operating directly within enterprise workflows, this solution aims to address issues such as revenue leakage, prolonged contract review cycles, and inconsistent risk oversight.
The solutions are being developed for production environments, acknowledging the challenges of fragmented data, interconnected processes, and non-negotiable governance. KPMG and Uniphore are designing AI agents to operate directly with modern enterprise data platforms, including Databricks and Snowflake, ensuring AI agents can utilize governed, enterprise-grade data foundations without requiring data migrations or creating parallel data stacks. This preserves existing controls for data lineage, access, and policy enforcement, allowing AI agents to generate business outcomes from trusted production data.
Prasad Jayaraman reiterated, “Uniphore is becoming an increasingly significant player in enterprise AI, and we are pleased to work together to help translate business knowledge into AI-enabled delivery models that drive real outcomes for our clients.” The announcement coincides with the World Economic Forum Annual Meeting in Davos, where representatives from both firms are engaging with clients and partners on the future of business AI.
