AI Readiness Assessment

Practical planning for AI projects

AI Readiness Assessment


Find out if your AI project is ready to build or what’s holding it back. 

The assessment determines:

  • Readiness to move your AI use case into a proof of concept
  • Where data, governance, delivery, or architecture needs attention
  • Which gaps to address first


🕒 11 questions · 3 minutes

Readiness score
Across use case, data, security, skills, and architecture
Main bottleneck
The area most likely to hold your AI project back
What to do first
Three concrete next steps for your weakest area
What we'll ask about
Five areas that decide whether AI reaches production
  1. Use case: is it defined and worth funding?
  2. Data: can AI reach it, and can you trust it?
  3. Security and governance: is there an approved path?
  4. Skills and adoption: who builds it, and who owns it?
  5. Architecture and cost: can you ship and run it?
Start assessment 11 questions, about 3 minutes
1 of 12
How clearly defined is your first AI use case?
Think: the specific workflow, who owns it, and how you'll measure improvement.
Choose one answer
We can name the workflow, its owner, and the metric, and we have a current baseline.
We know the workflow, but the owner, metric, or baseline isn't settled.
We have a general area in mind, like "AI in customer service", but haven't picked a specific workflow.

Who We Are

Stratus10 is an AWS Advanced Tier Services Partner that helps teams move AI use cases from early exploration to production. This assessment reflects the work required across data integration, secure architecture, engineering delivery, and the operating model that supports the solution after launch. Eligible projects may also qualify for AWS funding.