Whitepaper

Architecting Agentic Systems for Accuracy and Fairness

The architectural decisions that determine whether an agentic system is accurate and fair — drawn from patterns that hold up in production rather than in demos.

Inside the paper

  • Fairness as a systems property: rubrics, evaluator separation and counterfactual testing
  • Governing the retrieval corpus: lineage, validity time and contradiction
  • Grounding, deterministic verification and calibrated confidence
  • Memory that stays an asset, not a slow accuracy leak
  • Designing real human oversight, and the EU AI Act / Consumer Duty anchor

PDF · 8 pages · Gordion Solutions Insights, July 2026.

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