arcsense-logo-sloped-with-name

EA/AI Readiness Checklist

These quick assessments are a helpful first step in identifying areas that may need more structure and oversight, and can guide focused conversations to ensure you’re set up for scalable, strategic technology integration.

Take this short survey to see how your ready your environment is to support AI adoption!

1. Is your AI solution designed with modular and interoperable architecture in mind? *
2. Does your data model align with data governance standards? *
3. Can your AI features be deployed within existing infrastructure (cloud/on-prem/hybrid)? *
4. Do you support monitoring, logging, and observability for AI components? *
5. Is your solution scalable across business units and regions? *
6. Do you have controls for model lifecycle management and versioning? *
7. Are your security and privacy practices aligned with risk frameworks? *
8. Can your AI system integrate with orchestration and workflow tools? *
9. Have you documented your architecture, dependencies, and APIs thoroughly? *
10. Are you ready to support SLAs and ongoing compliance requirements? *