AI Readiness Assessment
How ready is your organization for enterprise AI?
Ten questions across data, platform, AI use cases, governance, and operations. You get an instant readiness score from 1–100% plus a breakdown of where you are strong and where SoftPool can help.
Where does your analytical data live today?
Methodology
How the assessment works
Ten questions across five pillars. Each answer scores from 0 to 3, from least to most mature. A pillar's score is the share of its possible points, and your overall score is the share across all ten questions.
It's a self-assessment, so it shows where to look first rather than auditing anything. Your score shows straight away, no email needed. The written report adds a recommended first step for each gap.
Data Foundation
2 questions
Where your analytical data lives, and whether anyone can say what it means and how good it is.
A low score usually means: An agent would answer from data your own teams don't trust, and two systems would give it two different answers.
Cloud Platform
2 questions
How much of your estate runs on Google Cloud, and whether environments are built from code or by hand.
A low score usually means: Each new project starts from scratch, with its own network, its own access rules and costs nobody can trace to an owner.
AI & Use Cases
3 questions
How far your use cases have got, whether teams can search internal knowledge with AI, and how AI applications are deployed and watched.
A low score usually means: Pilots that impressed in a demo with no route to production, and no way to tell whether an answer was right.
Governance & Security
2 questions
How tightly identity and access are controlled, and whether a written, enforced policy covers AI use and data.
A low score usually means: AI tools would inherit access that is already too broad, and people are using AI without anyone deciding what's allowed.
People & Operations
1 question
Whether someone owns AI in production, with the skills and the budget to run it.
A low score usually means: Nobody owns the platform after launch, so the first success has no one to scale it.
Score bands
- AI Leading: 80% and above
- AI Ready: 60% to 79%
- AI Emerging: 40% to 59%
- AI Developing: 20% to 39%
- AI Exploring: 0% to 19%