Beyond AI Optimism
A look at whether companies have the strategy, systems, workflows, skills, and trust needed to make AI work at scale.
Get the full report
See where your organization stands, and what it takes to turn AI ambition into results.
- All 7 key findings from Google Cloud
- What sets today’s AI leaders apart
- Where scaling stalls, and why redesigning the work matters
- How trust needs to keep up as agent adoption accelerates
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AI is no longer a distant ambition or isolated experiment.
It is now a part of how almost all organizations plan, collaborate, make decisions, and deliver work. But as adoption accelerates, a different question is coming into focus: how can I prepare my organization for AI to deliver on its promise?
In this new report from our partner Google Cloud, discover what sets today’s AI leaders apart.
Five things AI needs to work at scale
The report looks at whether companies have each of these in place.
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Strategy
A clear direction for where AI creates value.
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Systems
The platforms and data to run AI reliably.
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Workflows
Work redesigned around what AI can do.
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Skills
People equipped to use AI with confidence.
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Trust
Governance that keeps pace with adoption.
The 7 key findings
What separates today’s AI leaders from everyone else.
- 01
Optimism went up. The gap didn’t move.
The ambition gap
- 02
AI adoption is no longer the question. Readiness is.
Readiness
- 03
Stuck at scaling.
Scale
- 04
Transformation takes hold when organizations redesign the work.
Workflows
- 05
Employees are ready, but they need help.
Skills
- 06
Nobody can predict the bill.
Cost
- 07
Agent adoption is accelerating. Trust must keep up.
Agents & trust
Ready to close your AI ambition gap?
Wursta helps organizations put the strategy, systems, workflows, skills, and trust in place to make AI work at scale. We don’t ship tools. We ship outcomes.


