How to Marry Process Management and AI for Business Success
How to Marry Process Management and AI for Business Success from the Harvard Business Review
Streamlining your business processes with AI requires more than installing new technology. The key to unlocking lasting gains is a well-managed process foundation that integrates human insight, data quality, and AI capabilities seamlessly. Companies of every size a clear model: improving supply chain efficiency began with detailed process mapping before applying AI-driven analytics and automation. Harvard Business Review (HBR) recently released a comprehensive guide to process management for
Why Process Management Must Come First
AI is often seen as a silver bullet, a strategy unto itself, but without clear workflows and defined process ownership, AI deployments falter under the weight of unsupported expectations. The AI adoption process requires effective strategic management process management which means:
Mapping end-to-end workflows to identify bottlenecks and inefficiencies.
Engaging cross-functional teams to bridge departmental silos.
Establishing metrics that matter most, such as reduced processing time, fewer error rates, cost reductions, and customer satisfaction.
These elements create the foundation that enables AI tools like process mining, robotic process automation (RPA), and generative AI to amplify results rather than cause disruption.
Seven Steps to Align Process Management and AI
Adopting AI strategically involves a clear methodology:
Assign Process Ownership to senior leaders who can influence across departments.
Define Process Customers whether Internal or external, to focus on value-driven outcomes.
Map and Analyze Processes using AI-assisted process mining to detect inefficiencies and “white spaces” in workflows.
Set Clear Performance Metrics to measure impact realistically from cycle times to quality improvements.
Identify AI and Automation Enablers suited to your processes from RPA to IoT sensors.
Redesign Process Workflows with cross-functional teams supported by AI design tools for clear communication and alignment.
Implement Training and Continuous Monitoring to maintain improvements and adapt as business conditions evolve.
The Business Impact Process Management for AI Adoption
As noted in HBR by Davenport and Redman, the cycle of improved data, agile technology adoption, and process discipline produces significant productivity gains and competitive advantage. Their key takeaway is: AI must serve strategy and people, not replace them. I love this thoughtful alignment that makes AI adoption scalable, sustainable, and economically viable while empowering people to engage.
Core Insight
If your AI investments aren’t delivering expected results, the problem likely lies in your process foundation. Start with detailed process mapping and ownership to build a culture ready for AI-driven decision-making.
Take action: Schedule a customized AI needs assessment or download our "AI Do's and Don'ts" today.
"How to Marry Process Management and AI for Business Success," Davenport, T. H., & Redman, T. C. (2025, January–February). How to marry process management and AI. https://hbr.org/2025/01/how-to-marry-process-management-and-ai
