Right Journey: A Practical Path to Realizing Value from AI

Blog / Right Journey: A Practical Path to Realizing Value from AI

Everyone is talking about AI, but for many business leaders, the conversation raises more questions than answers. You see the potential, but you’ve also heard stories of complex and costly AI adoption projects that fail to deliver. The MIT report stating that 95% of AI initiatives fail is a reality check.

So the big questions remain:

• How do you get started without boiling the ocean?
  
• How do you move from a simple data project to true enterprise AI transformation?

The truth is, a successful AI adoption journey isn’t a giant leap. It’s a series of logical, value-driven steps. It begins with solving foundational challenges and builds toward a future where your business operates with intelligence, speed, and agility.

At Pluto7, in partnership with Google Cloud, we’ve guided global leaders in manufacturing, retail, and consumer packaged goods (CPG) through this exact path. This includes AI adoption in retail and manufacturing, as well as the AI in consumer packaged goods industry — helping companies move beyond experiments into measurable value. Here, we’ll share a practical roadmap to help you connect the dots from where you are today to where you want to be tomorrow.

A Proven Three-Step Journey to AI Adoption

Think of your AI adoption journey not as a one-off project, but as a phased transformation designed to maximize ROI while minimizing risks. Each step builds on the last, creating momentum for sustainable AI-powered business transformation. This is your AI transformation roadmap — structured, practical, and proven.

Step 1: Build Your Foundation (Solve Today’s Problems)

The most successful AI initiatives start by solving immediate challenges. Many organizations are weighed down by siloed data and rigid legacy systems. The first step is to modernize the foundation for AI in supply chain planning and other high-impact applications.

This often means using platform like Google BigQuery and modernizing applications. The benefits are immediate: reduced IT costs and  improved performance 

This is essentially about how to build an AI foundation in business. At Pluto7, we’ve worked with Google Cloud for over nine years to deliver this foundation faster and more reliably through our accelerator, Planning in a Box – Pi Agent. It not only improves data quality but also equips your teams with essential Supply chain AI skills to scale effectively.

Step 2: Solve a Real Business Problem (Unlock Vertical AI)

Once the foundation is set, the focus shifts from IT upgrades to solving business-critical problems. For most enterprises, this means tackling demand planning with AI and inventory optimization challenges.

This is where Planning in a Box – Pi Agent on Agentspace comes in. Built on your new cloud foundation, it transforms raw data into actionable intelligence. It helps improve AI-driven demand forecasting, optimize inventory, reduce waste, and solve multi-million-dollar supply chain inefficiencies. These are real-world AI use cases in supply chain where technology directly impacts profitability.

A Framework for Value: The 2:10 Rule

Through our work, we’ve observed a consistent pattern we call the 2:10 Rule:
For every 10% reduction in planning error, businesses unlock the potential for a 2% increase in top-line revenue.

This isn’t just a statistic — it’s a proven business case. By reducing forecast errors, you avoid lost sales due to stockouts and lower the costs tied to excess inventory. The 2:10 Rule in supply chain planning helps quantify the immense value hidden within AI for data-driven supply chain operations and justifies AI-driven investments. It also demonstrates how businesses can use AI to reduce forecast errors at scale.

Request a demo of Planning in a Box – Pi Agent today to see how your business can reduce planning errors and unlock growth.

Step 3: Achieve True Transformation (Embrace Agentic AI)

Once you’ve experienced the impact of AI in one area, it’s time to expand that intelligence across your enterprise. This is where agentic AI in business transforms operations.

With consolidated data and modernized applications, companies can evolve toward autonomous systems. Using Google Agentspace, Pluto7 enables businesses to implement agentic workflows — where AI agents work collaboratively, 24/7, to sense real-time market signals, reallocate inventory, and make intelligent decisions before human intervention is needed.

Imagine your supply chain planning with AI agents running like a ride-sharing network—dynamic, responsive, and continuously optimizing itself. That’s the power of Agentic AI for supply chains, and it’s no longer a future vision. It’s happening now.

Why Pluto7 and Google Cloud

Navigating this journey requires not only powerful technology but also deep expertise. That’s why Pluto7 and Google Cloud work hand-in-hand to help enterprises realize value from AI.

• Google Cloud provides the infrastructure and AI platforms—from BigQuery to Agentspace, powered by Gemini — that make transformation possible.
  
• Pluto7 brings domain expertise and proven methodologies to ensure these technologies address your specific business challenges. This is the essence of Pluto7 AI supply chain expertise, ensuring your investments translate into outcomes.
  

Together, we help organizations model both total cost of ownership (TCO) and return on investment (ROI) from the very beginning, so you move forward with confidence.

The future of business isn’t just about adopting AI — it’s about intelligently integrating AI to build responsive, resilient, and profitable enterprises. The journey is clear, and it starts with one strategic step.