AI GeneratedBUSINESS STRATEGYInsight
When to Choose Agentic AI vs. Rules-Based Systems
Feb 8, 2026
|Adversarial AI Pipeline
Key Takeaway
Agentic AI is hyped as a catch-all tool, but for deterministic tasks, a rules-based system delivers better-controlled outcomes—tailor your approach to match the system's strengths.
M
Our Take— Mike Sanders, Founder“We see the value in aligning tool capabilities with the specific needs of each operation, ensuring AI delivers real P&L impact and avoids unnecessary hype.”
Agentic AI is hyped as a catch-all tool, but for deterministic tasks, a rules-based system delivers better-controlled outcomes—tailor your approach to match the system's strengths.
From the Source
"There's a lot more to capturing value using agentic AI or agents than just simply signing up for a license."
— Agentic AI Explained | McKinsey & Company
Key Takeaways
- 01Agentic AI can manage complex, non-deterministic tasks effectively.
- 02There's significant hype around using AI as a blanket solution.
- 03For deterministic results, rules-based systems might be more suitable.
- 04Implementation success depends on matching AI to the right use case.
- 05Specificity is crucial to implement targeted AI solutions.
Watch the Source
Agentic AI Explained | McKinsey & Company
Source
Agentic AI Explained | McKinsey & Company
Video embedded above — watch without leaving the site
Extracted and verified via Adversarial AI Pipeline
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