AIHA Office Agentic AI & Hyperautomation Implementation Office · demo

Architecture & solutions

How a model is adapted to the existing institutional culture

Ten steps from inventory of the culture to continuous learning, a decision tree for RAG versus fine-tuning, and what not to do.

Steps

  • Inventory the culture: Values, code of conduct, policies, procedures, past decisions, tone of voice, terminology, approved exemplary documents.
  • Curate, consent, de-identify: Owners approve each source; remove personal data; drop outdated or contested material; record lineage.
  • RAG first: Most 'culture' is knowledge: index it with access control and freshness dates before any training.
  • Glossary & tone of voice: House terminology (EN/FR), banned phrases, style rules as system policy and validators.
  • Instruction tuning (LoRA): Small, high-quality set (1–5 k) of approved input → output examples per domain; one adapter per domain.
  • Preference tuning from HITL: Reviewer edits and approvals become preference pairs (DPO); only from trained reviewers, sampled and checked.
  • Culture-alignment evaluation: Rubric: values, policy compliance, tone, terminology, fairness; human panel scores ≥ 200 cases.
  • Red-team & bias tests: Check the model does not amplify past bias or informal practices that contradict policy.
  • Release through CAB: Versioned adapter, evaluation report, rollback to the previous adapter.
  • Continuous learning: Quarterly retraining from new approved material and HITL feedback; drift monitoring.

Public demo with fictional data (Example Group). © 2025–2026 Russo-Got Marius Mihail & PIR2-IT. All rights reserved.

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