AIHA Office Agentic AI & Hyperautomation Implementation Office · demo
Results & quality
Results-Based Management System (rBMS)
Theory of change and results chain from inputs to impact, indicators with baseline, target and actual, and the monitoring and evaluation plan.
Results chain
- Inputs: Budget, models, API access, staff
- Activities: Agentic workflows, HITL review steps
- Outputs: Verified documents, validated records
- Outcomes: Process time −45%, cost −35%, error rate < 0.5%, CSAT ≥ 88%
- Impact: Institutional efficiency and trust
Public demo with fictional data (Example Group). © 2025–2026 Russo-Got Marius Mihail & PIR2-IT. All rights reserved.
More in this demo
- Executive dashboard
- Executive summary generator
- Portfolio: idea → retire
- Policy register
- Governance & gates
- RACI
- Guardrails catalogue
- Risk register
- Complexity & costs
- AI maturity assessment
- Assessment & reuse: HW, licences, comms
- CAPEX / OPEX & optimised roadmap
- V&V
- Animated roadmap
- Methodology, SDLC & gates
- Change management
- Document templates
- Client onboarding
- Reference architecture
- AI engines & model choice
- Training on institutional culture
- Agentic workflow & HITL
- Hallucination control
- AI security & threats
- Operations dashboard
- Incidents & service desk
- FinOps
- Feedback
- Client satisfaction
- Lessons learned
- e-Learning
- Wiki
- Community of practice
- Nomenclator EN/FR
- Ask the advisor