AI Readiness Assessment
Discover Your Organization’s AI Readiness
This short assessment will help you evaluate your organization’s readiness for AI across strategy, architecture, data, development, and skills.
Strategy
Does your organization have a defined AI strategy?
Architecture
Can your current systems integrate AI services or models?
Data
How accessible and structured is your data for AI use?
Development
How are AI tools currently used by development teams?
Skills
What level of AI expertise exists within your team?
Your AI Readiness Score
AI readiness typically falls into one of four stages.
Stage 1 — Awareness
Organizations recognize that AI will affect their industry but have not yet begun structured experimentation.
Stage 2 — Exploration
Teams are experimenting with AI tools or pilots, but strategy, governance, and architecture remain unclear.
Stage 3 — Implementation
Organizations begin integrating AI capabilities into products and development workflows.
Stage 4 — AI-Enabled Organization
AI becomes embedded in development processes, product capabilities, and operational workflows.
What Your Score Suggests
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If you would like help interpreting your results, Intertech’s senior consultants can review your readiness assessment and discuss practical next steps for introducing AI into your software development environment.
During this session we will go over your current AI readiness score, any further detail about your organization’s current system and needs, potential opportunities for AI within your organization, architectural and development considerations, and practical next steps for implementation, so you can make a decision about how you would like to move forward and if Intertech is the right partner for you.
How Ready Is Your Organization for AI—Really?
The Assessment
What This Assessment Evaluates
- Strategy
Do you have a defined direction for AI, or are efforts still exploratory? Organizations with a clear strategy move faster and avoid costly missteps. - Architecture
Can your systems actually support AI integration? Many teams discover too late that legacy architecture limits what is possible. - Data
Is your data usable for AI, or locked in disconnected systems? The quality and accessibility of your data will ultimately determine the value AI can deliver. - Development
Are your teams using AI in a structured, scalable way—or experimenting without guardrails? This is where speed can either accelerate progress or create technical debt. - Skills
Do you have the internal expertise to build and sustain AI capabilities? Tools alone are not enough without the right level of knowledge and experience.
The Reveal
What Your Score Will Reveal
Most companies fall into one of four stages:
- Awareness — You recognize AI’s importance but have not yet begun structured efforts.
- Exploration— Teams are experimenting, but efforts are not yet aligned or scalable.
- Implementation — AI is beginning to take shape within products and workflows.
- AI-Enabled Organization — AI is embedded across systems, teams, and operations.
Your results will highlight not just your current stage, but the specific gaps and opportunities that will determine how quickly you can move forward.
Take a few minutes to complete the assessment and gain a clear, practical view of your organization’s AI readiness—and what to do next.
Detailed Solutions. Information That Works For You.