Why AI Rarely Improves How Work Actually Gets Done
A leadership guide to fixing the data, governance and skills gaps that keep AI from delivering real workplace impact
AI is everywhere in the digital workplace.
Meaningful impact is not.
Many organizations have introduced generative and agentic AI, only to find that daily work looks largely the same. Tools multiply. Pilots linger. Employees struggle to trust or adopt what’s been rolled out. The problem isn’t access to AI. It’s how work, data and decision-making are structured.
This white paper explores why AI so often fails to improve productivity, collaboration and execution, plus what leaders must address to change that.
Drawing on research from the Reworked State of the Digital Workplace, it examines:
- Where AI-enabled work breaks down
- How data, governance and integration gaps undermine adoption
- Why skills and trust matter as much as technology
You’ll come away with a clearer understanding of what must change to move from isolated experimentation to sustained workplace impact.
Get the white paper
Presented by
Founded in 2006, RBA is an award-winning national digital and technology consultancy. They are a team of strategists, designers and engineers who have a proven track record of delivering successful solutions for organizations throughout the U.S. Consistently named a Best Place to Work and Top Workplace, RBA attracts the industry’s top technical and creative talent to help their clients deliver on the promise of technology in today’s digital landscape.