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A Framework for Choosing Winning AI Use Cases [Agent Readiness Part 3]

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Key takeaways

  • Focus on identifying use cases from the ground up, leveraging insights from employees who understand operational realities.
  • Balance efficiency-driven initiatives with opportunities for growth; prioritize use cases that offer high value and complexity.
  • Develop a robust framework for measuring ROI that considers both short-term metrics and long-term strategic impacts.

Summary

Identifying and Prioritizing AI Use Cases

In the final episode of the Agent Readiness series, NLW and Nufar Gaspar discuss how to identify, prioritize, and measure AI use cases within organizations. They emphasize the importance of sourcing use case ideas from mid-level employees who understand operational feasibility, rather than top-down directives. The hosts outline key indicators for good AI use cases, such as the complexity of decision-making, the need for human support, and opportunities for 24/7 availability. They also highlight the significance of measuring ROI effectively to support ongoing development.

Balancing Efficiency and Growth Opportunities

The episode stresses the necessity of balancing efficiency initiatives with growth opportunities when selecting use cases. The speakers encourage organizations to avoid over-relying on automation for fixed processes and instead focus on nuanced, high-value applications. They introduce a framework for managing these use cases like an investment portfolio—highlighting the need for diverse strategies that consider both short-term gains and long-term growth.

Evaluating ROI and the Future of AI

The hosts discuss the changing landscape of AI ROI expectations, noting that companies now anticipate quicker returns on their AI investments. As per recent industry surveys, many leaders now expect to see ROI within one to three years. They recognize the complexities of measuring AI effectiveness, especially against traditional metrics, while advocating for tailored metrics that accurately reflect AI's impact. They underscore that the efficiency derived from AI will become standard, pushing organizations to innovate for competitive advantage.

Sponsors

  • Blitzy · The Enterprise Autonomous Software Development Platform with Infinite Code Context that uses thousands of specialized AI agents to understand enterprise scale code bases.
  • KPMG · Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast.
  • Rovo · Unleash the potential of your team with AI-powered Search, Chat, and Agents.
  • Robots and Pencils · Cloud-native AI solutions that power results, enhancing human potential through AI.

Show notes

In the third and final episode of our Agent Readiness series, NLW and Nufar Gaspar dive into how to identify, prioritize, and measure AI use cases inside your company. They break down a practical framework for evaluating opportunities, balancing growth and efficiency initiatives, and managing your AI portfolio like an investment strategy. Plus, they explain why company knowledge agents often deliver outsized ROI and why 2026 will be the “show me the money” year for AI transformation.

Brought to you by:

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The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.

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