RESEARCH REPORT
Making reinvention real with gen AI
What more than 2,000 client projects revealed
10-MINUTE READ
March 6, 2025
For those organizations that have not yet scaled gen AI solutions, we see an urgency to act.
Only 36%
of executives say they have scaled gen AI solutions
Just 13%
report creating significant enterprise-level value
Lessons learned from 2,000+ gen AI projects and surveys with 3,000+ C-level executives:
These lessons are brought to life through client stories from Ecolab, Sempra, Accenture’s Marketing + Communications function, a leading bank and a large electronics retailer.
01
Lead with value
Leading organizations tackle core business challenges by reinventing processes end-to-end, aligning leadership, setting measurable goals and redesigning work to drive impact.
What the data says
2.5x
higher ROI from companies with executive buy-in.
6x
more likely that organizations achieving enterprise-level value have leaders who deeply understand gen AI.
02
Reinvent talent and ways of working
Organizations excelling in gen AI transformation invest in broad AI upskilling, adopt dynamic workforce models and enable human + agent collaboration.
What the data says
88%
higher score around actions to reshape the workforce for organizations delivering enterprise-level value versus those with limited business impact.
3x
more gen AI budgets are spent by organizations on technology, rather than on people.
03
Build an AI-enabled, secure digital core
A robust digital core underpins scalable gen AI. Leading organizations modernize applications, invest in proprietary data and create adaptive architectures.
What the data says
2.9x
more likely that organizations creating enterprise-level value have a comprehensive data strategy to support their gen AI efforts.
4.5x
more likely that companies creating enterprise-level value are investing strategically in agentic architecture.
04
Close the gap on responsible AI
Responsible AI is a source of value that goes far beyond compliance requirements and regulatory obligations. Responsible AI must be embedded by design, supported by platforms for monitoring and governance and approached with a growth mindset focused on value and collaboration.
What the data says
2.7x
more likely that organizations creating enterprise-level value have responsible AI principles and governance in place across the gen AI lifecycle.
05
Drive Continuous Reinvention
Reinvention with gen AI is a continuous journey, not a one-time project. Thriving organizations build agile change capabilities and put people at the heart of their transformations.
What the data says
2.1x
more likely that companies with advanced change capabilities are likely to achieve successful transformations.
These lessons can help organizations move from isolated experimentation to impact. Our research shows that those who act on all 5 actions are 2.5 times more likely to achieve enterprise-level results.
Organizations already delivering enterprise-level results are:
4.5x
more likely to be investing strategically in agentic architecture.
6x
more likely to significantly increase gen AI investments in 2025.
And while technology is critical, achieving value at scale requires reinventing business processes across functional silos and an extensive focus on talent and operating model, putting people at the center of the reinvention.
Related insights
Research Report
Reinventing Enterprise Operations – How mature operations use Gen AI to support growth
