Mostly paper-based or individual spreadsheets with no central system.

Mix of spreadsheets and basic software; data is scattered across systems.

A centralised database or CRM captures most business information.

Well-organised data systems with regular backups and good organisation.

Sophisticated data infrastructure with automated collection and real-time updates.

Primarily based on experience, intuition, and informal discussions.

Some use of basic reports and historical data alongside experience.

Regular analysis of performance data and trends to guide decisions.

Data-driven approach with dashboards and analytical tools.

Advanced analytics including predictive modelling and forecasting.

Data is often incomplete, outdated, or unreliable.

Data exists but requires significant cleaning and verification.

Generally reliable data with occasional gaps or inconsistencies.

High-quality data with established validation processes.

Excellent data quality with automated validation and governance.

Basic setup with older computers and limited software.

Standard business technology meeting current operational needs.

Modern systems with good connectivity and standard business software.

Advanced technology with cloud services and integrated systems.

Cutting-edge infrastructure designed for high-performance computing.

Many staff find new technology challenging and prefer traditional methods.

Mixed comfort levels with some resistance to change.

Generally adaptable with proper training and support.

Tech-savvy team that embraces new tools and processes.

Highly technical team with strong digital skills and innovation mindset.

Limited support - we mostly handle issues ourselves or call for ad-hoc help.

Basic IT support for routine maintenance and simple problems.

Reliable IT support team or contractor for most technology needs.

Strong internal technical team capable of implementing complex systems.

Highly skilled technical experts with advanced, specialised knowledge.

Sceptical or concerned about AI replacing jobs or being too complex.

Curious but uncertain about practical benefits or clear applications.

Interested and supportive, with a willingness to explore opportunities.

Actively promoting AI exploration with dedicated resources.

AI is a strategic priority with strong executive championship.

General awareness but no specific applications have been identified.

Vague ideas about potential uses but no detailed planning.

Some specific areas identified where AI could be beneficial.

Clear use cases with business justification and expected benefits.

A comprehensive AI strategy with prioritised projects and an implementation plan.

No specific budget discussion or financial planning.

Preliminary budget discussions for initial exploration.

A moderate budget approved for pilot projects and learning.

A substantial budget allocated for comprehensive implementation.

A significant, multi-year investment commitment with dedicated funding.

Change is slow and often meets significant resistance from staff.

Change happens gradually with significant effort and persuasion needed.

Moderate pace of change with proper planning and communication.

Generally adaptable with good change management processes.

Highly agile organisation that embraces and drives change and innovation.

Limited training - staff mainly learn through on-the-job experience.

Basic training is provided only when absolutely necessary.

Regular training programmes with a dedicated budget and planning.

Comprehensive development programmes including emerging technologies.

A continuous learning culture with substantial investment in cutting-edge skills.

Basic security measures with informal data handling practices.

Standard security practices that meet basic legal requirements.

A good security framework with documented policies and procedures.

A robust security infrastructure with comprehensive data governance.

Enterprise-level security with advanced threat protection and regular audits.

Most competitors are also not using AI yet.

Some competitors are beginning to explore AI applications.

Several competitors have started implementing AI solutions.

Many competitors are actively using AI to gain advantages.

AI adoption is becoming essential to remain competitive in our market.

Very risk-averse - we prefer proven, traditional methods.

Cautious, with a limited appetite for experimentation.

A balanced approach - open to innovation with careful evaluation.

An innovation-friendly culture that encourages new ideas and calculated risks.

A highly innovative organisation that actively seeks cutting-edge solutions.

Not a priority - our focus is on stability and reliability.

Somewhat important, but not a key driver of our strategy.

Moderately important for maintaining our competitive position.

Very important for brand differentiation and market leadership.

Critical to our brand identity and competitive strategy.