What’s Holding GenAI Back? (Hint: It’s Not the Technology)
Learn why organizational challenges, not technology, are holding back the deployment of generative AI in enterprises.
Learn how to get your board to embrace generative AI through strategic planning, addressing risks, and showcasing tangible business benefits.
It’s a conversation happening in boardrooms across the globe: the rise of generative AI. You see the potential. You understand the transformative power it holds for your organization, from automating routine tasks to unlocking entirely new business models. But when you bring it up, you're met with cautious stares, questions about risk, and a general unease.
This isn't a failure of vision on your part. It's a common challenge. As IDC analyst Matthew Eastwood points out, “Most boards are not ready for the strategic and practical aspects of building an AI strategy, so they tend to focus on limiting risks of the unknown rather than seizing the opportunity.” The air is thick with "noise and distraction," making it difficult to present a clear, articulate path forward.
At Vertesia, we believe this conversation is too important to be lost in the noise. We’re here to help you turn your board’s legitimate concerns into a compelling, strategic investment.
A board’s primary role is to protect the organization and its stakeholders. Their focus on risk isn't a roadblock—it's a starting point. By addressing their concerns directly, you can transform a conversation about limitation into one about opportunity. Instead of a discussion about what could go wrong, let's frame it around what we need to get right.
The key is to move past the hype and provide a clear, data-driven narrative. IDC identifies the following crucial questions that are on every board member's mind:
The conversation about AI needs to be structured and intentional. Here is a step-by-step guide to help you build a comprehensive plan that will resonate with your board:
Before you even book the meeting, your board needs a foundational understanding of generative AI. The goal of this primer is to demystify the technology and shift the conversation from abstract fear to concrete opportunity. This document should be concise, jargon-free, and focused on the strategic implications for your business, not the technical details.
The primer should cover a few key areas:
Board Concern |
Strategic Opportunity |
Risk of Data Privacy & Security |
Opportunity to build a secure, proprietary knowledge base: We can deploy generative AI on our own private data, creating a secure system that leverages our unique company knowledge without exposing sensitive information. |
Cost of Implementation & ROI Uncertainty |
Opportunity for unprecedented productivity gains: We can target generative AI for specific, high-volume tasks—from customer support to software development—to achieve measurable ROI through increased efficiency and reduced operational costs. |
Unknowns & Lack of Clear Strategy |
Opportunity to build a differentiated competitive advantage: By developing a clear, enterprise-wide AI strategy, we can move from reactive adoption to proactive innovation, positioning ourselves as an industry leader. |
Here are a few industry-specific examples you can include in your primer to make the potential of generative AI concrete for your board members.
Product Description Generation
Instead of a marketing team spending days writing unique product descriptions for thousands of items, generative AI can create compelling, SEO-optimized descriptions in minutes. This frees up the marketing team to focus on higher-level strategic campaigns.
Personalized Shopping Assistants
Imagine a customer on your website asks, “I’m looking for a bohemian dress for a summer brunch under $100 in size Large.” A generative AI-powered chatbot can understand the natural language query, search your inventory, and provide highly-relevant suggestions with a conversational tone, creating a more engaging and personalized shopping experience.
Optimize Supply Chains
More accurately forecast demand, optimize inventory levels to minimize holding costs, identify supplier risks, generate contingency sourcing strategies, and model new product introductions
Enhanced Customer Service
Generative AI can power sophisticated chatbots and virtual assistants that handle a wide range of customer queries—from account balances to loan applications—with human-like nuance. This reduces call center volume and provides 24/7 support.
Fraud Detection
By generating synthetic data that mimics fraudulent scenarios, generative AI can be used to train and test advanced fraud detection models, enabling your systems to identify and flag new, evolving fraud schemes more effectively than ever before.
Automated Regulatory Reporting
Generative AI can read, summarize, and draft key sections of complex financial regulations and compliance reports, saving countless hours for legal and compliance teams and reducing the risk of human error.
Generative Design
Engineers can input design goals (e.g., reduce weight, increase durability, use less material) and constraints. Generative AI will then create thousands of optimized design variations that a human may have never considered. This drastically accelerates the design process and can lead to lighter, stronger, and more cost-effective parts.
Predictive Maintenance
By analyzing sensor data from machinery, generative AI can predict when a piece of equipment is likely to fail with greater accuracy. This allows for proactive maintenance scheduling, minimizing costly unplanned downtime on the factory floor.
Training & Documentation
Generative AI can create personalized training modules for workers and automatically generate up-to-date documentation and user manuals from a company's internal data, ensuring consistency and clarity.
This primer sets the stage for a productive discussion, grounding the conversation in practical business applications and demonstrating that you've thought critically about both the potential and the pitfalls. And, it helps to demystify AI. AI can seem scary, or at least, unknowable, but breaking it down and explaining it to your board will help to alleviate some of these fears.
As you prepare to build your AI strategy, it's critical to assess your organization's readiness. AI sounds like a good idea, but it’s better to be honest with yourself and really assess your organization’s aptitude for implementing and deploying Gen AI. Ask yourselves some of these questions (and prepare the answers, because your board members will certainly ask them!):
This is your master plan. The AI charter is a formal document that outlines your organization's vision for AI. It should include:
Getting your board on board with generative AI is not just about adopting new technology—it's about charting a new strategic course for your organization. By moving the conversation from fear to opportunity, and by presenting a clear, well-structured plan, you can gain the support you need to make a lasting impact.
At Vertesia, we are more than just a technology provider; we are your strategic partner in this journey. We understand that generative AI is not a one-size-fits-all solution. That's why we work side-by-side with you to create a holistic, enterprise-wide strategy that shows how AI will create value in every department. We'll help you benchmark your position against competitors, understand and exceed evolving customer expectations, and build a robust governance framework that demonstrates a clear understanding of the risks and a proactive plan to mitigate them. Let us help you move from a discussion of "what if" to a concrete plan for "how we will," ensuring your board sees the clear path to a more innovative, efficient, and profitable future.
Ready to start the conversation? Contact us today to learn how we can help you get your board on board.
IDC research cited: "Build Versus Buy Decision-Making: Optimizing AI-Ready Infrastructure ROI" March, 2024
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