Augmented Planning

Augmented planning is a business planning approach that uses artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to enhance, not replace, human intelligence and judgment. It focuses on empowering finance and operations teams by automating repetitive tasks, identifying patterns in large datasets, and providing data-driven recommendations to improve the quality and speed of decision-making.

Unlike fully automated systems, augmented planning keeps the human planner at the center of the process. The technology assists by generating baseline forecasts, running complex scenario planning analyses, and surfacing insights that might otherwise be missed. This allows planners to shift their focus from manual data compilation to higher-value strategic activities, such as interpreting model outputs and collaborating with business partners.

This approach is a core component of AI-assisted planning and supports the broader goal of achieving decision intelligence across an organization. By integrating these advanced capabilities into planning platforms, companies can create more dynamic, responsive, and accurate financial and operational plans.