Decision Engines in Production: JSON Logic, Rules Engines, and When to Scale
From Programming Tech Brief By HackerNoon by HackerNoon
February 16, 2026 · 7 min
About this episode
This episode discusses building auditable and explainable decision systems using JSON logic and rules engines in regulated industries.
This story was originally published on HackerNoon at: https://hackernoon.com/decision-engines-in-production-json-logic-rules-engines-and-when-to-scale . Learn how to build auditable, explainable decision systems using JSON logic, rules engines, and AI for fintech, insurance, healthcare, and regulated domains. Check more stories related to programming at: https://hackernoon.com/c/programming . You can also check exclusive content about #json-logic-vs-rules-engine , #auditable-fintech-workflows , #healthcare-decision-automation , #business-rules-versioning , #decision-engine-spectrum , #human-readable-logic-systems , #ai-decision-framework , #decision-engines-in-production , and more. This story was written by: @erindeji . Learn more about this writer by checking @erindeji's about page, and for more stories, please visit hackernoon.com . Hardcoded logic grows into unmanageable complexity in regulated industries. Start simple, then scale: JSON logic for 10–50 rules, rules engines for complex interdependencies, and AI for pattern recognition. The goal: auditable, traceable, and reproducible decisions. Combine tools to ensure compliance, performance, and explainability from day one…
Topics covered
- decision engines
- JSON logic
- rules engines
- AI
- fintech
- healthcare
- auditable systems
Keywords
- JSON logic
- rules engines
- decision systems
- auditable decisions
- healthcare automation
- fintech compliance
- AI decision frameworks
Mentioned in this episode
Organizations: HackerNoon, fintech, insurance, healthcare
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