AI adoption gap score · 2 min
Find where AI adoption is stuck in your team.
Companies are investing in AI. Teams are experimenting with AI. But adoption is not spreading evenly through daily work. McKinsey reports that 92% of companies plan to increase AI investment, while only 1% describe their AI deployment as mature. BCG reports that 74% of companies struggle to achieve and scale AI value. KPMG and the University of Melbourne report that 57% of employees hide their AI use at work. That is the adoption gap. This 2-minute assessment shows where your team is stuck: strategy, tools, team adoption, or measurement.
2 min · 10 questions · Instant result
The AI adoption gap is real
The AI adoption gap is real
92%
of companies plan to increase AI investment over the next 3 years
Source: McKinsey, 2025
1%
describe their AI deployment as mature
Source: McKinsey, 2025
74%
struggle to achieve and scale value from AI
Source: BCG, 2024
57%
of employees hide their AI use at work
Source: KPMG & University of Melbourne, 2025
What this score measures
The gap between AI access and AI adoption.
The assessment looks at five dimensions that determine whether AI is becoming part of real work.
AI & Business Strategy
Is there a practical, enterprise-wide AI roadmap and executive alignment?
Checks:
- documented AI direction
- executive ownership
- investment validation
- defined AI KPIs
- cross-functional roadmap
Process Mapping
Are recurring work patterns mapped and adapted specifically for agent integration?
Checks:
- documented processes
- workflow dependencies
- process key KPIs
- continuous monitoring
- process redesign pilots
Tech & Data Foundation
Is your data clean, accessible, and integrated with core systems?
Checks:
- data quality standards
- knowledge base ownership
- data accessibility
- system integrations
- knowledge updates
Org Readiness & Culture
Are teams upskilled and sharing AI solutions openly without fear?
Checks:
- talent strategy
- ongoing structured training
- active champions network
- innovation culture
- change management
Security & Governance
Are compliance rules, safeguards, and output validation in place?
Checks:
- governance model/CoE
- executive accountability
- data safeguards & DLP
- compliance monitoring
- pre-deployment testing
2 min · 10 questions · Instant result