Enterprise-grade responsible AI and cognitive automation for complex regulatory and financial environments.
KPMG AI represents a comprehensive suite of enterprise-grade solutions built upon the 'KPMG Trusted AI' framework. Positioned as a market leader in 2026, the platform bridges the gap between raw Large Language Model (LLM) capabilities and rigorous corporate compliance. The architecture is primarily delivered through a multi-billion dollar alliance with Microsoft, leveraging Azure OpenAI and Microsoft 365 Copilot as a foundation for KPMG-proprietary layers like KPMG Clara (for audit) and KPMG Ignite (for cognitive automation). By 2026, the suite has evolved into an agentic ecosystem capable of performing autonomous complex reasoning across tax, legal, and advisory domains while maintaining strict data sovereignty. The technical value proposition centers on 'Human-in-the-loop' governance and the mitigation of hallucinations in high-stakes financial environments. KPMG's market position is distinct from pure-play SaaS providers, focusing on deep industry-specific RAG (Retrieval-Augmented Generation) implementations that utilize proprietary KPMG intellectual property to ensure accuracy in tax codes, regulatory reporting, and risk management.
KPMG AI represents a comprehensive suite of enterprise-grade solutions built upon the 'KPMG Trusted AI' framework.
Explore all tools that specialize in esg reporting. This domain focus ensures KPMG AI & Data Solutions delivers optimized results for this specific requirement.
A proprietary layer of mediation between the user and LLMs that scans for bias, hallucination, and data leakage in real-time.
Uses OCR and NLP to extract structured data from unstructured sources like paper invoices and handwritten tax records.
A system where multiple specialized AI agents (Tax Agent, Legal Agent, Audit Agent) cross-verify findings.
AI-driven calculation of carbon footprints and social impact metrics from raw operational data.
Machine learning models that analyze historical transaction data to predict future fraud or liquidity risks.
Automated updates to AI logic based on real-time changes in global tax legislation.
Processing of sensitive data in hardware-encrypted enclaves to ensure even cloud providers cannot access it.
Stakeholder alignment and definition of AI governance boundaries.
Security assessment and integration with existing Entra ID (formerly Azure AD) tenants.
Data discovery and mapping of proprietary datasets within the client's cloud environment.
Deployment of KPMG Trusted AI guardrails and monitoring frameworks.
Configuration of KPMG Ignite or Clara modules based on specific business domain.
Custom RAG (Retrieval-Augmented Generation) tuning using client-specific documentation.
Pilot program execution for specific high-value use cases like tax or audit.
Human-in-the-loop training for department leads and compliance officers.
Global rollout across enterprise departments with localized compliance settings.
Continuous monitoring and iterative model refinement through KPMG Managed Services.
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"Users praise the deep integration with existing Microsoft environments and the high degree of trust in the 'Responsible AI' guardrails, though some note the high cost and lengthy implementation cycles."
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A data-driven approach to measure and improve sustainability performance in the consumer goods industry.
The Carbon & Sustainability AI Leader for measuring, reporting, and decarbonizing.
The platform to connect data, processes, and teams for unified reporting.
Trusted Data for Resilient Supply Chains.
AI-assisted sustainability data management for strengthened reporting, reduced risk, and accelerated decarbonization.
