This framework is developed by a team of former McKinsey and Big 4 consultants. The presentation follows the headline-body-bumper slide format used by global consulting firms.
Explore the Agentic AI Primer, crafted by ex-McKinsey and Big 4 consultants. Learn to transform AI into strategic, interconnected systems for enhanced enterprise performance. Agentic AI Primer is a 32-slide PPT PowerPoint presentation slide deck (PPTX) available for immediate download upon purchase.
Agentic AI addresses a critical challenge in enterprise adoption: while most organizations achieve early success with individual models, few connect them into cohesive systems that transform business performance.
Traditional automation improves efficiency, yet it rarely redefines how decisions are made or how value flows across the enterprise.
Agentic AI reframes that challenge. It builds interconnected networks of autonomous, goal-driven agents that collaborate with humans and with each other—reasoning, planning, and executing complex workflows. These systems elevate AI from a support function to a strategic enabler that continuously learns and adapts. Agentic AI transforms Artificial Intelligence from a collection of tools into a coordinated system that powers enterprise-wide learning and performance.
This PPT presentation discusses Agentic AI Maturity, which unfolds as a continuum of 4 AI systems, each expanding in scope, capability, and strategic impact:
1. Individual Augmentation
2. Task and Workflow Automation
3. Functional Agentic Workflows
4. Cross-Functional Agentic Systems
Together, these systems illustrate how organizations can evolve from isolated tools to agent-first enterprises capable of learning, adapting, and scaling intelligence autonomously. Each of these Agentic AI systems is discussed in depth.
Additional topics include discussed include key trends, Agentic AI Strategy, core elements of Agentic AI, among others.
This deck on Agentic AI also includes slide templates for you to use in your own business presentations.
This PPT slide outlines the evolution of agentic AI systems, presenting a four-level maturity model: "Agentic System," "Individual Augmentation," "Task and Workflow Automation," and "Cross-Functional Agent Systems." The progression begins with basic task automation and advances to complex, cross-functional workflows with high-level decision-making capabilities. As systems mature, they transition from technical support to fully autonomous entities managing enterprise-wide processes, reflecting a shift from productivity improvement to reshaping work and value creation. The slide emphasizes the importance of understanding AI maturity for strategic investments in automation. A resource titled "Agentic AI Primer," developed by McKinsey and Big 4 consultants, aids organizations in implementing these AI systems.
This PPT slide compares 2 forms of enterprise automation: Agentic Labor and Agentic Engine. Agentic Labor enhances existing workflows through digital assistants for routine tasks, achieving efficiency gains of 20-40 percent,, but requires structured change management and operates within functional silos, limiting strategic differentiation. In contrast, the Agentic Engine re-architects operations into autonomous, agent-first systems that learn and act independently, enabling enterprise-wide transformation across finance, supply chain, and customer care. This approach achieves up to 80 percent automation and accelerates cycle times by up to 70 percent, shifting the CEO agenda from efficiency to organizational reinvention and value creation, marking a transition from incremental productivity improvements to fundamental operational reengineering driven by AI.
This PPT slide explains the evolution of functional AI workflows, focusing on teams of AI agents optimizing business functions. It highlights the shift from manual task automation to interconnected AI agents coordinating planning, analysis, and validation for seamless outcomes. Key benefits include faster cycle times, significant efficiency improvements, enhanced decision quality through better data integration, and reduced handoffs, minimizing delays and errors. Customer satisfaction and revenue growth are expected to rise due to increased responsiveness. Challenges include the need for deep process redesign, advanced engineering for agent coordination, potential governance gaps, and human resistance to agent-driven processes. Overcoming these constraints is essential for scaling AI workflows effectively, with technical expertise and governance frameworks being critical for success.
Source: Best Practices in Artificial Intelligence, Automation, Agentic AI, GenAI PowerPoint Slides: Agentic AI Primer PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting
This framework is developed by a team of former McKinsey and Big 4 consultants. The presentation follows the headline-body-bumper slide format used by global consulting firms.
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