> ## Documentation Index
> Fetch the complete documentation index at: https://aletyx.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Should enterprises choose between LLMs and symbolic AI?

> Neurosymbolic AI combines statistical LLMs with deterministic symbolic rules - using engines like Drools to validate outputs for compliance, instead of choosing one.

It isn't an either/or choice. **Statistical AI** (probabilistic) excels at
pattern recognition and content generation, while **Symbolic AI** (deterministic)
provides consistent, auditable decisions. The strongest approach — what Aletyx
calls **Neurosymbolic AI** — combines both: use generative AI for analysis and
recommendations, then use rule-based systems like Drools to validate outcomes
against compliance requirements. This hybrid architecture delivers innovation
without giving up the control and transparency enterprise systems demand.

[Read the full post →](https://aletyx.ai/architecting-intelligence-beyond-llms/)

## Where to go next

<CardGroup cols={2}>
  <Card title="Hybrid Intelligence" icon="scale-balanced" href="/docs/faq/concepts/hybrid-intelligence">
    How to adopt AI while keeping compliance and predictability intact.
  </Card>

  <Card title="Accountable AI" icon="shield" href="/docs/faq/concepts/accountable-ai">
    What "Accountable AI" means and why deterministic rules matter for it.
  </Card>

  <Card title="Decisions + GenAI" icon="robot" href="/docs/decisions-genai">
    Combining generative AI with rule-based decisions in one architecture.
  </Card>

  <Card title="AI Safety" icon="shield" href="/docs/faq/products-features/ai-safety">
    How Aletyx keeps AI safe in regulated, high-stakes decisions.
  </Card>

  <Card title="Enterprise AI Concepts" icon="building" href="/docs/faq/concepts/enterprise-ai-concepts">
    The core AI approaches enterprise leaders need to understand.
  </Card>

  <Card title="Drools" icon="gears" href="/docs/drools/overview">
    The rules engine used to validate AI outputs against your policies.
  </Card>
</CardGroup>
