A digital twin for strategy models your company, customers and competitors so you see a growth decision's likely effect before funding it.

AI for growth strategy means using AI to develop, rank and test the growth options a company could fund. Why it is hard, what AI does, and where AIPath fits.

Podcast interviews and talks by David Isaac, founder of AIPath, with the argument he made, verbatim quotes and the minute to start watching. One idea runs through all of them, from 2021 to 2025.

Most growth strategy tools implement and track a strategy already chosen. A growth strategy platform generates and tests it first. See where AIPath fits.

Growth decision intelligence is a young field. AIPath named it for the CEO in 2026 and sets out what it has built, what it has not, and what it must prove.

Work management, OKR platforms and BI tools all claim strategy. AI for Growth Decision Intelligence is what none of them are and is what AIPath is for Growth Strategy.

ChatGPT frames growth strategy well and stops short of deciding it. Where a general model stops, what separates an answer from a decision a board can fund, and which job each tool is genuinely built for.

Growth Decision Intelligence is decision intelligence applied to the growth decision: which initiatives a company funds next based on the most valuable opportunities available. Gartner published its first Magic Quadrant for Decision Intelligence Platforms in January 2026, and every platform named in it decides operational risk such as credit, fraud and supply chains. AIPath generates growth strategy and ranks hundreds of thousands of options to pre-test before you build.

AI Chat wasn't designed to make strategy visible and editable. Teams need simulation & user testing to turn opinions into operating plans. Here's the playbook.

Executive Summary AIPath revolutionizes enterprise digital transformation by creating digital twins of organizations to map and address internal challenges. It leverages AI for customer journey mapping, automated A/B testing, and prioritizing innovations based on business impact. This comprehensive approach enhances decision-making, improves customer satisfaction, and streamlines operations, positioning AIPath as a leader in transforming business processes with data-driven st

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