KPMG AI Driven Compliance

KPMG

This service offers an implementation of KPMG’s AI-driven risk and compliance agents to help companies enhance employee productivity by automating risk and compliance tasks.

Companies are subject to stringent government and industry regulation and can significantly improve employees' productivity by streamlining risk and compliance. The ongoing burden of managing complex and evolving regulatory landscapes often leads to time-consuming manual processes. Reliance on siloed processes can result in risk and compliance gaps, increased costs, and a reactive approach to regulatory changes. This diverts valuable employee time and resources from core business functions and innovation.

KPMG's AI-driven risk and compliance agents, KymCompliance, powered by Microsoft Azure and Azure OpenAI Service, directly addresses these obstacles by automating critical risk and compliance tasks and providing a comprehensive, real-time view of regulatory obligations and controls. By leveraging generative AI to identify regulatory obligations, draft plain-language statements, and introduce an AI-driven risk and compliance model, we enable telcos to proactively identify and close risk and compliance gaps, reduce non-compliance events, save employees’ time, and lower external costs associated with manual risk and compliance efforts.


Your value and outcomes

  • Improve compliance team productivity. Streamline obligation statement capture, maintenance, and controls assurance, allowing compliance teams to operate more efficiently and faster.
  • Empower Line 1 staff for proactive compliance. Empower and support Line 1 staff to monitor and manage controls, freeing valuable Line 2 staff to focus on operational efficiencies and improvements.
  • Enhance overall productivity through compliance knowledge and skilling. Provide an interactive and searchable knowledge base, allowing users to upskill and improve their understanding of regulatory obligations and effective controls.
  • Reduce costly compliance breaches and penalties. Significantly reduce non-compliance events by proactively identifying and addressing compliance gaps.
  • Uplift and simplify existing controls environment. Improve risk analysis and uplift risk documentation and support suggesting and drafting new controls.
  • Align and simplify policies. Understand actionable business rules from set policy and identify overlaps and misalignment to support simplification.

  • Deliverables

  • AI model incorporating industry regulatory risk and compliance best practices
  • Agents to map linkage between obligations, policy, risk, and controls, and to support controls testing and assurance reviews
  • Quantifiable compliance scores and identified compliance gaps
  • Obligation register from relevant legislation, standards, and guidelines 
  • Interactive and searchable knowledge base covering obligations, risks, and controls
  • Recommendations for enhancing safeguard measures and strengthening control linkages
  • Estimated benefits case outlining net benefit over three years

  • Activities

  • Planning and designing the target state for AI-driven compliance.
  • Deploying and fine-tuning AI model in new and existing obligation areas.
  • Scaling AI solution across all obligation areas and controls.
  • Using generative AI to identify regulatory obligations and draft plain-language obligations.
  • Introducing an AI-driven compliance model for identifying gaps and reviewing controls against the KPMG Compliance Maturity framework.
  • Assessing control descriptions against industry-leading practices and providing suggestions for new measures.
  • Developing and implementing a comprehensive risk register.
  • Providing an AI assistant for 24/7 access to knowledge, insights, and recommendations.
  • Running scaled AI-led analysis over obligation, risk, and control coverage to identify gaps.
  • Testing breach scenarios upfront to understand potential regulatory breach events.
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