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Eight questions to gauge whether your organisation is ready to move from AI curiosity to a real project.
Your answers stay in your browser — nothing is sent to our servers.
We have well-organised, accessible data for the problem we want to solve. (weight 1.5)
We can clearly describe the business outcome an AI system should improve. (weight 1.5)
We have someone internal who can own the AI initiative day-to-day. (weight 1)
Our current systems can integrate with an AI model or API. (weight 1)
We have budget allocated or approvable for a 3–6 month initiative. (weight 0.8)
We understand the legal/compliance constraints around our data. (weight 1)
We have a process for measuring whether the AI system is working. (weight 1.2)
We can label or review examples of correct vs incorrect AI outputs. (weight 1)
AI projects that skip readiness work often end up as expensive proofs-of-concept that never reach production. Data access, problem clarity, ownership and measurement are the foundations that separate a successful deployment from a science experiment. This assessment highlights which foundations are solid and which need work before you build.
The tool gives you a quick read. Our team turns that read into a deliverable plan and working system.
A two-week engagement that scores your data, systems, team and problem space, producing a clear go/no-go recommendation.
If data is the blocker, we build pipelines, clean datasets and establish governance so AI work can proceed.
For organisations scoring 75%+, we design and ship a contained pilot with measurable business outcomes.
Share your results with us and we'll turn them into a clear next-step plan — usually within 48 hours.