None
EN
Business transformation needs a true economic approach, not guesswork
['More This Author', '.Wp-Block-Co-Authors-Plus-Coauthors.Is-Layout-Flow', 'Class', 'Wp-Block-Co-Authors-Plus', 'Display Inline', '.Wp-Block-Co-Authors-Plus-Avatar', 'Where Img', 'Height Auto Max-Width', 'Vertical-Align Bottom .Wp-Block-Co-Authors-Plus-Coauthors.Is-Layout-Flow .Wp-Block-Co-Authors-Plus-Avatar', 'Vertical-Align Middle .Wp-Block-Co-Authors-Plus-Avatar Is .Alignleft .Alignright']
How I use AI to boost productivity and revenue | CIO
Thom Hornback has spent 20 years inside large organizations running the kinds of complex implementation projects that transformation programs are built around.
“The value of information is not a concept that organizations tend to track or value for that matter,” he says.
Those are legitimate questions, and the methodologies like business process modeling (BPM) or activity-based costing (ABC) that answer them are genuinely useful.
However, today’s organizational and business complexity demands more than simply squeeze-the-denominator type transformations, especially if executives hope to innovate.
The cost of not knowing what things costProcess transformation has been a fixture on the enterprise agenda for 30 years, moving through successive waves: business process reengineering, Lean and Six Sigma, robotic process automation and now agentic AI.