From AI Hype to ROI: Pluto7’s Path to Bridging the GenAI Divide

Blog / From AI Hype to ROI: Pluto7’s Path to Bridging the GenAI Divide

The Artificial Intelligence (AI) revolution is here, offering breakthroughs from medical innovations to sustainable energy solutions. Yet, the reality in enterprise adoption paints a different picture. According to the MIT report “The GenAI Divide: State of AI in Business 2025,” despite billions invested, 95% of GenAI initiatives fail to deliver measurable ROI.

This gap — known as the GenAI Divide — separates a small percentage of successful projects from the majority that struggle to scale, revealing a major learning gap in how AI is implemented. 

The Reality of AI Adoption: Why ROI Remains Elusive

The hype around AI often overshadows its practical challenges. While the promise of “radical abundance” through AI sounds exciting, enterprises frequently face skepticism when results fall short.

The MIT report highlights three major patterns behind these struggles:

1. The Enterprise Paradox

Large firms lead in AI pilots but struggle to scale beyond proof-of-concept.

2. Investment Bias

Budgets often prioritize visible, customer-facing functions like sales and marketing, leaving high-ROI back-office operations underfunded.

3. The Implementation Advantage

Projects involving external partners have twice the success rate of internal builds.

The most critical challenge? AI systems that fail to learn and adapt. Most implementations lack continuous feedback loops and contextual understanding, resulting in brittle, non-scalable workflows.

Pluto7’s Blueprint: Closing the GenAI Divide with Planning in a Box – Pi Agent

At Pluto7, we’ve spent years understanding these challenges. Our solution — Planning in a Box – Pi Agent—is designed to turn AI’s promise into measurable business value, especially in supply chain planning. We’re not chasing hypothetical AGI; we focus on Agentic AI systems that deliver results today.

Here’s how our approach aligns with MIT’s findings:

Strategic Partnerships Over Costly Internal Builds

The report emphasizes that external partnerships are twice as likely to succeed. With Planning in a Box – Pi Agent, organizations avoid costly in-house development. Instead, they leverage a proven, scalable solution built on Google Cloud, backed by Pluto7’s deep expertise.

Focus on High-Impact Supply Chain Operations

High ROI often comes from back-office operations that are overlooked in favor of customer-facing investments. The Pi Agent optimizes inventory management, demand sensing, and supply chain network planning, delivering real-time visibility and actionable insights. This reduces waste, improves margins, and enhances customer satisfaction.

Agentic AI for Continuous Learning and Adaptation

The MIT report identifies Agentic AI with persistent memory and iterative learning as critical for success. The Pi Agent is built to learn continuously, adapting to your organization’s context and evolving with changing conditions. Combined with our transparent glassbox approach, this ensures AI decisions are explainable and trustworthy.

Phased Implementation That Drives Adoption

Instead of top-down directives, adoption thrives when line managers lead with small, measurable wins. Our “2:10 Rule” recommends starting with focused problem sets—a 10% reduction in planning effort often translates to 2% revenue impact. Over 6 to 12 months, organizations build confidence and scale adoption sustainably.

 Ready to See How It Works in Action?

Request a demo today and discover how Planning in a Box – Pi Agent can transform your supply chain planning and help you cross the GenAI Divide. 

The Road Ahead: AI Adoption is a Marathon, Not a Sprint

The MIT report reinforces a critical truth: AI success requires long-term commitment, a robust data foundation, and continuous adaptation. Businesses that fail to act now risk falling behind in an AI-driven economy.

At Pluto7, working in partnership with Google, we are committed to guiding organizations through this journey. With Planning in a Box – Pi Agent, your enterprise can bridge the GenAI Divide and unlock AI’s full potential for supply chain transformation.