Step 1 of 5

About your company

Basic info so we can tailor recommendations to your business.

Step 2 of 5 — Data Readiness

How organized is your data?

AI is only as good as the data behind it. Let's see where you stand.

We have a centralized data storage system (CRM, data warehouse, etc.)
Our data is clean, structured, and well-labeled
We have data governance policies (access controls, privacy rules)
1 = Strongly disagree5 = Strongly agree
Step 3 of 5 — Team Skills

Does your team have AI chops?

Skills and culture matter as much as technology.

Our team is comfortable working with data and analytics tools
We have technical talent (developers, engineers, or data scientists)
Leadership actively champions AI/tech adoption
1 = Strongly disagree5 = Strongly agree
Step 4 of 5 — Process Automation

How automated are your workflows?

Companies with existing automation extract more value from AI faster.

Our core business processes are documented and standardized
We have repetitive, manual tasks that could benefit from automation
We already use automation tools (Zapier, scripts, RPA, etc.)
1 = Strongly disagree5 = Strongly agree
Step 5 of 5 — Infrastructure

Do you have the foundation?

Cloud, APIs, and budget — the building blocks for AI.

We use cloud infrastructure (AWS, Azure, GCP, or similar)
Our systems can integrate via APIs or data feeds
We have budget allocated (or planned) for AI initiatives
1 = Strongly disagree5 = Strongly agree
Analyzing your AI readiness...
Our AI is generating personalized recommendations for your business.