KPMG: What Can Uniphore Bring to Financial Services?

KPMG LLP, US member of KPMG global, has paired with business AI company Uniphore to build AI agents for the deployment across regulated industries such as banking, insurance, energy and healthcare. 

The strategic relationship is part of KPMG’s strategy to equip its global workforce with AI-enabled delivery models. 

Uniphore’s Business AI Cloud platform will be used for agentic AI and fine-tuned small language models (SLMs).

KPMG LLP will benefit from AI-embedded execution as it incorporates these into its core business processes.

How will the collaboration scale expertise? 

KPMG’s consulting workforce model is currently being trained to deploy, design and govern AI agents. 

This enables teams to deliver outcomes through a collaboration of AI execution and human judgement. 

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 system will assist with various functions to support the digital rollout, including the incorporation of institutional knowledge, regulatory frameworks and process playbooks into industry-specific SLMs. 

The Business AI Cloud platform will deploy governed AI agents in departments such as procurement, finance, claims, customer experience and workforce optimisation. 

Industry-specific use cases will also see support from the Business AI Cloud as it will support these alongside horizontal solutions such as oil and gas, healthcare, telecommunications and financial services. 

At the core of the approach is an SLM factory model. This enables the knowledge traditionally carried by legacy processes to be transformed into reusable and scalable AI systems. 

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.”

Working around fragmented data with AI

Fragmented data is an inevitable part of a financial services company working across many sectors. 

KPMG and Uniphore have opted to build AI agents which break out of the traditional pilot programmes that are under heavy control - AI agents designed for production environments where data is fragmented.

The partnership focuses on AI agents that are ready to work alongside modern enterprise data platforms such as Databricks and Snowflake.

This allows AI agents to work against governed, enterprise-grade data foundations without creating parallel data stacks or forcing migrations. 

By doing this, AI agents are enabled to reason over trusted protection data rather than isolated model benchmarks as controls around data lineage, policy enforcement and access are preserved.

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.