From Productivity to Performance: Unlocking the Business Value of AI-Powered Workflows
AI adoption has reached a tipping point, with nearly four in five organizations now using AI in at least one business function, yet most enterprises have failed to redesign the workflows needed to turn that adoption into sustained performance. The gap between AI experimentation and measurable business impact is widening, with only 12% of organizations reporting a clear ROI from AI solutions and just 21% having redesigned even part of their processes. Closing this transformation gap requires embedding AI across core operations through human-centered workflows that unite automation, intelligent decision support, and talent development. Organizations that build connected, AI-powered work management systems stand to capture significant value, including an average 7.1x net ROI over three years, while those that delay risk being left behind entirely.
In this guide, you'll explore
- Nearly 4 in 5 organizations are using AI in at least one business function, yet only 21% have redesigned their processes to fully support it.
- Companies investing in AI can realize an average 7.1x net ROI over three years, equating to nearly $200 million in annual value.
- AI-driven productivity improvements could add $2.6 to $4.4 trillion annually to the global economy, with the largest gains in marketing, sales, and R&D.
- Employees using generative AI performed new tasks at 86% of expert benchmark levels, demonstrating that AI extends rather than replaces human capability.
- Xfinity Creative achieved 7x faster project delivery and 3x savings in agency fees by building a connected workflow ecosystem powered by Adobe Workfront.