AI ROI Readiness Assessment

Evaluate your organization’s potential for AI-driven ROI across 5 critical dimensions

Data Infrastructure & Quality

Advanced: Comprehensive data lake/warehouse with real-time analytics, excellent data quality, and AI-ready infrastructure
Proficient: Well-organized data systems with good quality, some real-time capabilities, and growing AI readiness
Developing: Basic data management systems with acceptable quality, limited real-time access, and emerging AI capabilities
Basic: Fragmented data systems with quality issues, mostly manual processes, and minimal AI infrastructure
Limited: Poor data organization, significant quality problems, and no AI-ready infrastructure

Team AI Capabilities & Skills

Advanced: Dedicated AI/ML team, extensive AI skills across organization, regular training programs, and innovation culture
Proficient: Some AI specialists, growing skills across teams, structured learning programs, and experimentation mindset
Developing: Basic AI knowledge, few specialists, occasional training, and selective adoption across teams
Basic: Limited AI understanding, no specialists, minimal training, and traditional approaches dominate
Limited: Very limited AI awareness, no technical capabilities, and strong resistance to change

Process Maturity & Optimization

Advanced: Highly optimized processes with continuous improvement, extensive automation, and data-driven decision making
Proficient: Well-defined processes with some automation, regular optimization, and metrics-based management
Developing: Standardized processes with basic automation, occasional improvements, and some performance tracking
Basic: Informal processes with minimal automation, infrequent optimization, and limited performance measurement
Limited: Ad-hoc processes, manual operations, no optimization culture, and poor performance visibility

Budget & Investment Capacity

Advanced: Substantial AI budget (5%+ of revenue), dedicated innovation fund, and strong ROI tracking
Proficient: Dedicated AI budget (2-5% of revenue), approved investment plans, and ROI measurement framework
Developing: Allocated AI budget (1-2% of revenue), project-based funding, and basic ROI expectations
Basic: Limited AI budget (<1% of revenue), ad-hoc funding, and unclear ROI requirements
Limited: No dedicated AI budget, cost-cutting focus, and resistance to technology investments

Leadership Commitment & Vision

Advanced: CEO/C-suite champions AI transformation, clear AI strategy, and organization-wide commitment
Proficient: Strong leadership support, defined AI roadmap, and departmental commitment to change
Developing: Moderate leadership interest, emerging AI plans, and selective organizational support
Basic: Limited leadership awareness, no formal AI strategy, and mixed organizational readiness
Limited: Leadership skepticism, no AI vision, and organizational resistance to change