AIHA Office Agentic AI & Hyperautomation Implementation Office · demo

Knowledge & community

Lessons learned

Eleven anonymised lessons from PIR2-IT and prior engagements — banks, AML, international organisations, national CERTs, defence, health information systems — each linked to where it is applied in this office.

Lessons

  • A European bank — second-opinion review of another provider's agentic AI implementation — Security by design and an independent review before go-live.
  • Agentic AI assistance across 32 banks — Risk tiering and a reusable pattern library instead of one-off designs.
  • Agentic AML hyperautomation in 16 financial institutions — Deterministic rules + HITL, thresholds calibrated locally.
  • Governance framework with an AI-agents platform, 38 implementations; at an international agency it increased donor confidence — An audit trail and results-based management build trust.
  • First AI models at an international organisation (2017), aligned with its gender directive — Fairness requirements from day one.
  • National cyber-defence system that became the core of a national CERT; national CERTs in 24 European countries — Rules plus an agent on the log stream, experts decide.
  • Cybersecurity governance and service assurance for the EU Member States (an EU agency) — Group policies plus local procedures per BU or country.
  • Corporate travel & expense / ERP platforms at international organisations (15+ years) — Process mining and data quality before automation.
  • Defence-sector projects under quality standards (AQAP / STANAG) — Documented V&V on a V-model.
  • Cloud migrations and critical systems — Hybrid with data-class routing.
  • Routine health information systems (DHIS2) in low- and middle-income countries — Offline-first and simple HITL.

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

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