KPMG collaborates with Uniphore to develop secure, industry-specific AI agents that integrate seamlessly into existing enterprise systems, aiming to shift AI from pilot projects to production environments in regulated sectors.
KPMG LLP has entered into a strategic relationship with Uniphore to develop and deploy AI agents built on industry-specific small language models, the firms announced in a joint statement. The initiative is framed as part of KPMG’s move to shift...
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artificial intelligence efforts from experimental pilots into production environments, with an initial focus on regulated sectors including banking, insurance, energy and healthcare.
According to the announcement, KPMG will use Uniphore’s Business AI Cloud as the underlying platform for agentic AI and fine-tuned small language models. The company said the architecture is “sovereign, composable, and secure” and can integrate with existing enterprise systems and governed data platforms such as Databricks and Snowflake, a design intended to avoid creating parallel data stacks or undermining existing controls around data lineage and access.
KPMG described the collaboration as extending beyond technology supply: the firm is advancing a model in which its consulting workforce is trained to design, deploy and govern AI agents so that teams combine human judgement with automated execution. The announcement highlighted an early use case in procurement and contracting, where agents will classify high-value agreements, extract obligations, flag risk and escalate exceptions for human review in order to reduce revenue leakage and shorten review cycles.
Uniphore’s chief executive framed the work as enabling repeatable processes for “running AI inside real enterprise workflows”. The company said its platform supports an “SLM factory” approach intended to encode institutional knowledge, regulatory frameworks and process playbooks into reusable models that can be applied across procurement, workforce optimisation, finance, claims and customer experience.
Prasad Jayaraman, advisory principal at KPMG, said: “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 firm emphasised governance and compliance as central requirements given the regulated industries targeted.
The tie-up with Uniphore sits alongside a broader pattern of KPMG expanding AI alliances. The firm has disclosed a minority investment and collaboration with Fieldguide to develop agentic applications for assurance work and has been deepening partnerships with cloud and software vendors to accelerate multi-agent solutions. KPMG has also launched internal incubators and integrated third‑party agent platforms into go‑to‑market operations, signalling a multi-vendor strategy rather than reliance on a single provider.
Observers say such an approach can help large professional services firms scale AI while retaining oversight, but it also raises questions about vendor interoperability and the complexity of governing multiple agent frameworks across global, regulated operations. KPMG and Uniphore said their engineering and governance work will be discussed further with clients and partners at the World Economic Forum Annual Meeting in Davos.
The firms did not disclose commercial terms or the timetable for broader roll‑out beyond the initial procurement pilot, but said the collaboration aims to move more AI initiatives into production-grade deployments that operate directly alongside enterprise data and controls.
Source: Noah Wire Services
