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      The era of agentic AI has begun

      Just as executives are beginning to scale the game-changing capabilities of GenAI across their organisations, a new and even more powerful AI-technology has emerged: agentic AI. While GenAI augments humans by providing information and guidance to help them make better decisions and act faster, agentic AI can fully automate what humans do by taking actions on their behalf, in pursuit of prescribed business outcomes.

      While still early days, agentic AI is already showing such great promise and evolving so rapidly, that no corporate executive, or board, can ignore its potential to transform their organisation and gain competitive advantage. Companies that prepare the ground now for their AI journeys will be in a better position to thrive in what we believe will be a very different future.

      Our report explores strategies for strategies to leverage agentic AI and choosing the right agent for the task.



      The agentic AI advantage

      Learn how agentic AI can unlock enterprise value and explore practical steps to accelerate your journey.

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      Agentic AI advantage: Unlocking next-level value

      At KPMG, the future is agent-centric


      How can AI agents can unlock value?

      AI agents can unlock greater enterprise value in at least four significant ways.

      • Expand work that can be automated

        AI agents expand the range of processes that can be automated, freeing up knowledge workers for strategic tasks. These agents continuously improve through advanced algorithms and machine learning, enabling seamless collaboration between digital and human workers.

      • 24/7/365 availability

        Agents operate independently and are available outside normal working hours, allowing organisations to monitor regulatory changes in real time, infer and extract mandatory obligations, and update compliance documentation across jurisdictions.

      • Organisational resilience through continuous optimisation

        Specialised agents working together transform business processes through seamless handovers, real-time adjustments, resource optimisation, and autonomous decision-making within set guardrails.

      • Conversion of knowledge into action

        Deploying multiple agents requires feeding them structured knowledge to achieve effective outcomes. This involves capturing and organising the expertise that typically resides in employees' minds, making it accessible for agents to use.



      Practical next steps to accelerate your agentic AI journey

      Leaders should consider the following actions to advance their agentic AI programs.

      Start with a clear, actionable vision for how AI agents will transform your business and address key pain points. Identify where agents can add the most value – from routine tasks to complex workflows and customer interactions.

      Initiate AI pilots where they will provide the most value:

      • Focus on ‘hot spots’: target areas with successful AI or GenAI pilots and high user engagement.
      • Go deep into a function: start in a low-risk, repetitive area like finance and use it as a scalable model.
      • Broad utilisation: implement AI agents in a critical, cross-functional value stream central to operations.

      Pilot AI agent platforms quicky, to achieve early wins and build executive momentum. Use the KPMG TACO FrameworkTM to identify the best agents and target key departments. Develop a comprehensive strategy for scaling AI across the enterprise.

      Expand current AI governance to include agentic AI, keeping ahead of legal and regulatory requirements. Create a living catalogue of all AI agents to track purpose and performance metrics and establish robust processes for continuous improvement.

      Align AI governance with regulations using AI system cards to document use, data, components, and limitations. Conduct thorough testing, including ‘purple team’ evaluations, before production. These processes inform a trust score reflecting AI principles adherence.

      Establish metrics to evaluate pilot projects and gather stakeholder feedback. Measure and optimise AI agent performance with error rates, processing times, and customer satisfaction. Use data to improve algorithms and training. Implement telemetry to monitor SLA compliance and system health.



      How KPMG can help

      We help turn agentic AI into your competitive edge, working side-by-side from strategy to execution, with a people-centric approach grounded in trust. By optimising the collaboration between what humans and agents can do today, we can unlock the full potential of what will be possible tomorrow and help create lasting value together.

      KPMG AI is built for the new world – where agents collaborate, impact is non-negotiable, and trust is what matters most.

      An immersive program for rapid, ethical, and trusted agentic AI.

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