More than 25% of corporate finance teams now use machine learning in quarterly planning processes, with adoption of generative AI accelerating rapidly as companies seek to replace rigid traditional budgeting with autonomous financial systems, according to a new study by consultancy Bain & Company.
The brief, titled The Future of Financial Planning Is Autonomous, found that AI-native agents embedded in enterprise resource planning systems are enabling companies to update forecasts continuously, adjust budgets automatically, and deliver real-time strategic insights to leadership teams.
Traditional budgeting cycles have become inadequate for today’s volatile markets, requiring companies to adopt more agile approaches to financial planning and forecasting, the study concluded.
Generative AI enables faster and more accurate forecasting by synthesizing signals from unstructured data and providing scenario-based insights, while agentic AI can autonomously manage entire forecasting workflows.
Leading technology companies are already implementing these systems at scale. Microsoft has embedded AI agents into core financial planning and analysis functions, spanning forecasting, variance analysis, reconciliation and reporting, significantly reducing cycle times and improving responsiveness to market changes.
The consultancy identified three distinct paths for companies modernizing their planning processes: streamlining existing workflows, enhancing current systems with AI capabilities, or completely reinventing their operating models around autonomous systems.
Generative AI’s ability to process vast amounts of unstructured data – from market reports to social media sentiment – allows finance teams to incorporate previously unavailable signals into their forecasting models.
This enhanced data synthesis capability provides more comprehensive scenario planning and risk assessment.
The autonomous systems can also reduce human error and bias in financial planning while freeing finance professionals to focus on strategic analysis rather than routine data processing and reconciliation tasks.
However, the transition requires significant changes to existing processes and systems. Companies must redesign workflows around AI capabilities while ensuring proper governance and oversight of automated decision-making systems.
The adoption trend comes as businesses face increasing pressure to respond quickly to market volatility, supply chain disruptions, and changing consumer behavior patterns that traditional annual or quarterly planning cycles cannot adequately address.
Bain & Company, founded in 1973, advises clients across 65 cities in 40 countries and has committed to invest more than $1 billion in pro bono services over 10 years.
The firm earned a platinum rating from EcoVadis, placing it in the top 1% of companies for environmental, social and ethical performance.