Despite massive investment in artificial intelligence, many organisations are struggling to see a significant return. Recent benchmarks show a widening gap between spending on AI and actual improvements to the bottom line. This is the 'Impact Gap'. Generative AI is often adopted for simple productivity gains, like drafting emails faster, but this rarely translates into major financial wins. The real value isn't in isolated tasks; it's in transforming core business operations.

To close this gap, the focus must shift from small-scale efficiencies to strategic value creation. Consultants are now tasked with guiding clients beyond scattered pilot programmes towards enterprise-wide initiatives that directly boost profitability. This means using AI to fundamentally reshape how work gets done, targeting key drivers of EBIT performance.

Boston Consulting Group offers a useful framework for understanding this strategic shift. They distinguish between two phases of AI adoption: Deploy and Reshape.

Deploy: This is the entry level. Companies 'deploy' off-the-shelf tools to augment existing processes. Think of giving your marketing team a ChatGPT Plus subscription for brainstorming ad copy. It's helpful, but it doesn't change the underlying workflow. The gains are often small and difficult to measure.

Reshape: This is where transformative value is created. Companies 'reshape' core workflows by integrating AI deeply into their operations. Instead of just brainstorming copy, the marketing team might use an AI system that analyses real-time sales data to generate and test hundreds of campaign variations automatically, optimising for conversion. The process itself is redesigned.

Moving from Deploy to Reshape is the central challenge. It requires a clear-eyed assessment of a client's current capabilities and strategic goals.

Many companies are stuck in 'pilot mode', running dozens of small, uncoordinated AI experiments. While pilots can be useful for learning, they rarely deliver enterprise-level value. The key is to assess the client's AI maturity and develop a plan to move from isolated projects to a cohesive, strategic portfolio of high-impact initiatives.

This requires a top-down diagnostic approach. Instead of asking 'What can we do with AI?', the question becomes 'What are our biggest business challenges, and how can AI help solve them?'. This aligns AI investment with core business objectives from the outset.

By conducting a strategic diagnostic, you can identify the one or two areas where a Reshape initiative will deliver the most value. This focused approach is far more effective than a scattergun strategy of a hundred small Deploy projects. It’s how you bridge the Impact Gap and turn AI investment into real financial results.

Let's check your understanding of these foundational ideas.

With this framework, you're ready to start evaluating client situations and identifying opportunities for true, transformative change.