AI Readiness Checklist

AI can move your business forward … or quietly torch it.

Below is a quick AI Readiness Check shows you where you actually stand before you start plugging AI into sensitive data, client workflows, or production systems. In a few minutes, you’ll get a brutally honest snapshot of three things every leadership team cares about:

No signup. No sales pitch mid-test. Just clarity you can take to your COO, CISO, or board and say: “Here’s what we lock down first so we can use AI without burning the company.

Take the AI READINESS CHECKLIST

Your team is already using AI — the question is whether it’s driving growth or quietly putting you at risk.

In under three minutes, the AI Readiness Checklist reveals how secure your data truly is, whether your systems can handle AI in production, and if your people are about to make promises AI can’t deliver.

You’ll walk away with a live readiness score, a clear red-yellow-green status, and the exact next steps to strengthen your foundation before scaling AI across your business.

Don’t guess. Get proof you can take to leadership.

Activate AI Performance with Confidence

We’re not just AI consultants, we’re platform architects. With a decade of experience supporting the most advanced organizations in industries such as Manufacturing, AdTech and Healthcare. Cyber Command provides forward-looking, feeling and thinking AI expertise to help your systems evolve intelligently.

With Cyber Command as your partner you get:

  • Data & Access Control – Can you safely let AI touch internal data without creating a legal or security nightmare?ed Engineering Team
  • Infrastructure Readiness – Will your systems survive AI in production, or melt the first time someone ships an “AI feature” to customers?
  • People, Policy & Risk – Are your teams using AI in a controlled way, or is everyone winging it and exposing you without meaning to?

Our Custom Assessment tool provides :

  • A maturity score for each area (not marketing fluff, Real Risk Language).
  • The one place you’re most exposed right now.
  • Best Practice next steps to address it.
AI Readiness Checklist

Section 1: Data & Access Control

How locked down is your data, and who can touch it?
Q1
We know where our sensitive data lives (PII, financials, customer data) and who has access to it.
Q2
Access to sensitive systems (ERP, finance, client data) is gated by role-based permissions or MFA.
Q3
We have audit trails or logs that show who touched what data and when.
Q4
We know which data we could safely use to train or feed AI — and which data is absolutely off-limits.
Q1
Our systems can handle AI workloads without failing under load (infrastructure, network, storage).
Q2
We have reliable backups, versioning, and rollback plans if AI-integrated systems break something.
Q3
We’re already monitoring performance/latency on critical systems (p95/p99 response, error rates).
Q4
Security tools (EDR, SOC, logging) are tuned to catch AI-related abuse, not just known threats.
Q1
Teams know what AI is allowed to do — and what it’s not allowed to touch or decide on its own.
Q2
We have a plan for AI “human in the loop” approval for anything that hits customers, finance, or legal risk.
Q3
Leadership understands both the upside and the liability of using AI (regulatory, IP, privacy).
Q4
We have an internal owner for AI readiness — not “whoever raised their hand in Slack.”
Why this matters right now
Critical gap
If you don’t know where sensitive data lives or who can touch it, you can’t safely use AI. You’re at breach and audit risk, and legal will block you from training models on internal data.
  • Map sensitive data and owners.
  • Force MFA / role-based access on finance, client, and PII systems.
  • Turn on logging so you can answer “who touched what” fast.
Your Readiness Snapshot
Overall AI Readiness Score: 0%
Critical Risk
You’re not production-ready for AI yet. Lock down data and control access before you scale AI.
Data & Access Control Critical gap
1.0 / 4
You can’t safely point AI at customer / finance data yet. This is your highest risk and where you start.
Infrastructure Readiness Needs work
2.0 / 4
You’re close to running AI in production, but you still need safety nets (rollback plans, performance watch).
People, Policy & Risk Needs work
2.0 / 4
Your people are improvising. You need clear guardrails so AI doesn’t make promises or decisions you can’t defend.
We help close the riskiest gap first — not sell tools you don’t need. You leave with an action plan you can hand to leadership.
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