How do you Use AI to SCALE Your Strategy? 

SCALE is a five-step framework Inspire uses for building strategy with AI: Surface, Compete, Anchor, Leverage, and Execute. It gives executive teams a repeatable way to use AI for better input and faster analysis, while keeping judgment and execution in human hands. 

Author: Jason Diamond Arnold, Director of Leadership Solutions, Inspire Software

Many executive leadership teams already use AI for strategy work, just not consistently. Capgemini Research Institute’s 2026 survey of 500 C-suite executives found that more than half of Executive Officers use AI to inform their strategic decisions, yet only one in six use it intentionally to scale their strategy. One executive asks a chatbot for a market summary, another pastes in survey results, and few agree on what the output means. 

The same report names the gap directly: “Most organizations lack the frameworks, systems, and processes needed to help leaders harness AI responsibly and confidently.” A framework like Inspire’s SCALE model guides intentional, best-practice AI use to develop a winning strategy. Whether it lives in a slide deck or in your strategic planning software, an AI framework turns scattered experiments into a process your team can run each planning cycle. 

  • Surface. Gather organizational intelligence through an AI-enhanced, crowdsourced SWOT. AI helps write better survey questions and synthesizes input from across the organization before the executive team starts drafting. 
  • Compete. Replace the annual competitive review with continuous competitive intelligence. A practical rhythm is a thorough competitive analysis each quarter, with lighter AI-supported checks in between. 
  • Anchor. Ground the strategy in an authentic customer voice. AI can summarize public data, but your own customer conversations are the input competitors can’t easily copy. Use AI to organize what customers tell you, not to replace what they tell you. 
  • Leverage. Use human-AI hybrid synthesis to make decisions and create strategic objectives. Write your own objectives, based on the SWOT data, then ask AI to compare or contrast its suggestions with your objectives, and then revise based on AI input. AI challenges your assumptions. Executives make the decisions. As GE Healthcare CMO Simon Rost put it in the Capgemini report, “AI helps us move faster and smarter, but a responsible human leader must make the final call.” 
  • Execute. Connect the strategy to a continuous performance management process. Create team and individual OKRs that link everyone to the plan, plus ongoing conversations, feedback, and recognition to keep execution motivating and inspiring. 

The first four steps make a strategy intelligent. The fifth makes it real. A strategy that doesn’t reach the flow of work is just a document, no matter how good the analysis behind it was. 

That is why SCALE doesn’t stop at announcing your business strategy; it shows you how to bridge the boardroom to the work your organization does each week. The day-to-day rhythms of work are also where many business strategies lose momentum. Priorities shift, goals drift, check-ins slip, and the plan gets revisited only on a quarterly basis at best. The Execute phase of the SCALE your strategy model builds in the rhythm that prevents that. 

SCALE answers a question many leadership teams are asking: how do we use AI in strategy without losing control of it? Surface, Compete, Anchor, and Leverage improve the thinking. Execute makes sure it gets put into action. Read the full playbook: How AI Helps Executive Leaders Develop a Winning Strategy. 

Next Steps: Want to walk through how SCALE would fit your next planning cycle? Book a conversation with an Inspire Strategy Coach. 

Two articles in the series pick up where Execute begins: 

Want to know where to start your 2027 business strategy? Watch the Where Do You Start When Using AI for Strategic Planning in 2027?. For a related conversation, listen to the full How AI Closes the Strategy-Execution Gap Inspire Podcast episode.