GenAI Profitability Paradox: Solutions Part 2 (PowerPoint PPTX Slide Deck)

AGENTIC AI PPT DESCRIPTION

GenAI Profitability Paradox PPT: Learn solutions to close the AI impact gap with workflow automation, revenue growth, and AI mesh strategies. Download now. GenAI Profitability Paradox: Solutions Part 2 is a 31-slide PPT PowerPoint presentation slide deck (PPTX) available for immediate download upon purchase.

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Barriers to Scaling High-Impact AI Use Cases Transforming Enterprise Systems for Agent Autonomy Key Dimensions for Effective GenAI Transformation

Many organizations have rapidly adopted GenAI through copilots and chatbots, achieving broad usage but limited financial impact. In fact, nearly 8 in 10 organizations report deploying GenAI in at least one business function. However, more than 80% report no material impact on earnings.

The core challenge is not access to technology, but how AI is deployed. Most GenAI initiatives enhance individual tasks rather than reshaping the workflows, decisions, and systems that drive enterprise value.

The gap between widespread GenAI deployment and the limited results is known as the GenAI Profitability Paradox. To close the GenAI Profitability Paradox and thus realizing the full potential of GenAI initiatives with scale, there are 9 integrated solutions:

1. Automate Workflows
2. Augment Revenue Streams
3. Reinvent Processes
4. Build an Agentic AI Mesh
5. Revisit LLM Strategies
6. Reevaluate Enterprise Systems
7. Reset the AI Transformation Approach
8. Activate 4 Key Enablers
9. Move beyond Experimentation

Together, these 9 solutions show how organizations can transition from broad GenAI adoption to sustained enterprise impact. Scaling AI tools creates activity—scaling agents inside operations creates results.

This is the second presentation of a 2-part series that explores all 9 solutions to the GenAI Profitability Paradox. This deck focuses on the last 4 solutions. Each of these 4 solutions is discussed in depth.

This PowerPoint presentation on GenAI Profitability Paradox framework also includes some slide templates for you to use in your own business presentations.

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AGENTIC AI PPT SLIDES

Barriers to Scaling High-Impact AI Use Cases

High-impact AI use cases struggle to scale due to 6 interrelated barriers: fragmented initiatives and weak sponsorship dilute coordination, while limited availability of mature solutions forces custom builds. Early GenAI technology constraints hinder complex execution, and siloed AI delivery models create integration gaps. Data accessibility and quality issues reduce reliability, compounded by cultural resistance and organizational inertia that slow adoption. These barriers reinforce one another, preventing vertical AI initiatives from progressing beyond proof of concept to scalable, value-generating deployments, despite demonstrated technical feasibility and clear business relevance across priority functions.

Transforming Enterprise Systems for Agent Autonomy

Agent-led execution is limited by traditional human-centric enterprise systems, necessitating a reevaluation to enhance machine- and agent-accessible interactions. Key actions include extending system interfaces to machine-readable endpoints, redesigning workflows for agent-triggered actions, and implementing fine-grained access controls for defined authority boundaries. Core platforms must support continuous execution, monitoring, and escalation, while aligning enterprise systems with agent orchestration layers to ensure workflow consistency. This transformation unlocks opportunities for faster execution, improved reliability in cross-system workflows, and enhanced scalability as agent activities increase without proportional system friction, laying the groundwork for agent-native operating models as autonomy expands.

Key Dimensions for Effective GenAI Transformation

To achieve effective GenAI transformation, organizations must focus on 4 key dimensions: Strategy, Unit of Transformation, Delivery Model, and Implementation Discipline. A strategic approach aligns AI initiatives with critical differentiation and value creation goals, prioritizing high-impact domains over extensive use case backlogs. The Unit of Transformation emphasizes redesigning workflows for agent execution, rethinking decision logic, and framing initiatives around value streams. The Delivery Model requires cross-functional teams to integrate AI tightly with enterprise systems, ensuring ownership and accountability. Finally, Implementation Discipline moves beyond pilot projects to industrialized delivery, focusing on enterprise integration, lifecycle management, and tracking value through business KPIs rather than technical metrics.

Source: Best Practices in Agentic AI, GenAI PowerPoint Slides: GenAI Profitability Paradox: Solutions Part 2 PowerPoint (PPTX) Presentation Slide Deck, LearnPPT Consulting