# How to Spot True Agentic AI

How do you differentiate real Agentic AI from Agentic-Washing? This quick checklist reveals all.

Written By:

Sally Fletcher

Head of Thought Leadership & Community at Hypatos

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## If it's not true agentic, it's unlikely to scale.

Here are five critical questions to separate genuine AI agency from Agentic-Washing, to make sure you're investing your money in a product that supports your enterprise goals today and in the future.

### 01
#### Resilience
Can it handle exceptions without breaking?

### 02
#### Intentionality
Does it operate with goals, not just rules?

### 03
#### Tool Autonomy
Can it interact with multiple tools independently?

### 04
#### Adaptation
Does it learn from outcomes and improve?

### 05
#### Reasoning Transparency
Is it a Black-Box or a Glass-Box?

## Inside this checklist

### What this checklist will show you

Why differentiating true Agentic AI from Agent Washing is so important:
- Vendors misuse "Agentic" constantly; knowing the real criteria protects you from wasted spend
- Non-agentic solutions hit a ceiling fast and won't scale with your enterprise
- The financial stakes are too high to get vendor selection wrong
- Black-box systems create serious compliance risk; regulated industries need proper Agentic AI
- Point-solutions rarely enable end-to-end processing; if it's not Agentic, you may end up with just as much manual work

### What this checklist covers:
- 5 critical questions to separate genuine Agentic AI from "Agent-Washing."
- Key signals to watch out for in the buying process to understand whether a solution will work in practice
- How to establish if a solution is a black-box or a glass-box
- How Agentic AI should interact with exceptions and legacy systems
- An entry point to designing your Agentic GBS blueprint

Make sure your next AI investment is the real thing!

Differentiating Agentic AI from Agent-Washing can mean the difference between ROI and project failure. Ensure you're equipped with the right information.