KPMG and Uniphore Partner to Scale Enterprise AI Systems

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Prasad Jayaraman, Advisory Principal at KPMG
KPMG and Uniphore have formed a strategic alliance to integrate agentic AI across regulated sectors and internal workflows

KPMG LLP, the US member firm of the KPMG global organisation, has entered into a strategic relationship with Business AI specialist Uniphore to develop AI agents for deployment within highly regulated sectors including banking, healthcare, energy and insurance.

This collaboration aligns with KPMG’s broader objective to provide its international workforce with AI-driven delivery frameworks. By leveraging Uniphore’s Business AI Cloud platform, the firm intends to implement agentic AI and specialised small language models (SLMs).

The integration of these technologies into primary business operations will allow KPMG LLP to achieve AI-embedded execution at scale.

KPMG at the Golden Globes. Credit: LinkedIn

How will the collaboration scale expertise?

KPMG is currently training its consulting workforce to design, implement and oversee AI agents. This evolution in the service model allows teams to achieve results through a sophisticated blend of AI-driven execution and human expertise.

Prasad Jayaraman, Advisory Principal at KPMG, says: “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.”

Uniphore’s cloud infrastructure will facilitate the digital transition by embedding regulatory frameworks, institutional intelligence and process playbooks into industry-specific SLMs. The Business AI Cloud will deploy managed AI agents across various corporate functions, such as finance, procurement, customer experience, claims and workforce management.

Furthermore, the platform will support both horizontal solutions and specific industry use cases in sectors like telecommunications, financial services, oil and gas and healthcare.

The strategy is underpinned by an SLM factory model. This framework converts the knowledge held within legacy processes into scalable, reusable AI architectures.

Umesh Sachdev, CEO and Co-founder of Uniphore, notes: “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 organisations can scale how people and AI work together and drive outcomes.”

Umesh Sachdev, CEO and Co-founder of Uniphore at Nasdaq 2025. Credit: LinkedIn

Working around fragmented data with AI

Data fragmentation is a persistent challenge for financial services organisations operating across diverse sectors. To address this, KPMG and Uniphore are developing AI agents that move beyond restricted pilot schemes. These agents are engineered specifically for production environments where data may be siloed.

The partnership prioritises AI agents that are compatible with contemporary enterprise data architectures like Snowflake and Databricks. This ensures that agents can operate within governed, enterprise-grade data structures without requiring the creation of parallel stacks or complex migrations.

Consequently, AI agents can perform reasoning based on trusted production data rather than isolated benchmarks, ensuring that policy enforcement, data lineage and access controls remain intact.

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An AI approach to procurement

The alliance is also investigating initial client applications for AI agents within the procurement sector. These agents will be tasked with classifying high-value contracts, identifying obligations, comparing terms to established standards and highlighting risks for human review.

By operating directly within enterprise workflows, the solution addresses critical pain points such as extended contract cycles, revenue leakage and inconsistent risk management.

Prasad notes: “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 partnership was announced during the World Economic Forum Annual Meeting in Davos, where executives from both KPMG and Uniphore are discussing the future of business AI.

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An AI approach to procurement 

The partnership also explores some initial client solutions around the use of AI agents in the procurement space. 

Agents will classify high-value contracts, extract obligations, compare terms against approved standards and flag risk and route exceptions for human approval. 

The solution works directly within enterprise workflows, challenging hurdles such as revenue leakage, inconsistent risk oversight and extended contract review cycles. 

Prasad notes: “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 comes at the time of the World Economic Forum Annual Meeting in Davos, where KPMG and Uniphore leaders will be engaging in conversations around business AI. 

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