5 Questions to Vet AI Advice Before You Trust It

Don’t let hype drive your architecture.
This free infographic offers a visual framework to help you quickly assess if AI advice is relevant, secure, and enterprise-ready—before it causes real damage.

In a world full of AI evangelists, self-proclaimed experts, and vendors chasing market share, it’s never been more important to filter advice with intention. These five simple questions will help you distinguish between guidance that’s grounded in real-world production experience and guidance that belongs in a tech demo.

Please download this free infographic and share with your family, friends and coworkers.

Download “Objective #1 Filter AI Advice for Relevance and Risk-Infographic” Objective-1-Filter-AI-Advice-for-Relevance-and-Risk-Infographic-PasswordProtected.pdf – Downloaded 0 times – 1.59 MB

✅ 5 Questions to Ask Before You Act on AI Advice

1. Has this person ever shipped secure, production-grade software?

Smart Advice: Grounded in real-world experience and systems thinking
Red Flag: From someone who’s only built demos or academic prototypes

2. Does the advice account for compliance, security, or data privacy?

Smart Advice: Mentions PCI, HIPAA, FedRAMP, or enterprise risk
Red Flag: Ignores rules and assumes anything goes

3. Can this integrate with your current .NET and Azure stack?

Smart Advice: Works with your existing architecture
Red Flag: Requires replatforming, rewriting, or tool replacement

4. Can your current team scale, test, and maintain it?

Smart Advice: Includes observability, CI/CD, rollback plans
Red Flag: Built in notebooks with no lifecycle or version control

5. Would this pass an internal code review or audit?

Smart Advice: Aligns with your architectural and security standards
Red Flag: Relies on shady plugins or vague third-party components

📥 Download the Infographic

Print it. Share it. Pin it in your dev room.
Use it as a checklist before your next AI proposal hits production.

Download “Objective #1 Filter AI Advice for Relevance and Risk-Infographic” Objective-1-Filter-AI-Advice-for-Relevance-and-Risk-Infographic-PasswordProtected.pdf – Downloaded 0 times – 1.59 MB

🔗 Based on the Whitepaper

This infographic summarizes Objective #1 from the whitepaper:
📘 Why AI in .NET?.
📎 See also Microsoft AI Development: Build Smarter, Scalable, Cost-Effective AI with .NET and Azure

👥 Who It’s For:

  • CIOs, CTOs, and IT Directors
  • Technical architects and software developers
  • Project managers vetting AI vendors
  • Procurement teams evaluating tools
  • Non-technical execs seeking high-trust AI strategies