GAB/BAG integrated Model
A research-driven framewordk combining Generative AI (GAB) and Blockchain-based Assurance & Governance (BAG) to enhance operational efficiency, traceability, and risk management accross the banking value chain.
What is the GAB/BAG Intergrated Model?
The GAB/DAB Integrated model is a research-driven dual-layer framework designed to enhance operational reliability, efficiency, traceability, and auditability across front-to-back banking processes. It combines:
- GAB – Generative AI for Banking: workflow automation, exception detection, knowledge extraction, risk monitoring.
- BAG – Blockchain for Assurance & Governance: immutable evidence, audit-ready logs, transparency, operational resilience.
GAB – Generative AI for Banking
GAB uses structured AI components to analyze workflows, detect anomalies, automate repetitive tasks, extract knowledge, and reinforce operational efficiency across front-to-back banking activitives.
- Process automation
- Error & anomaly detection
- Knowledge extraction
- Operational risk monitoring
- Decision support
BAG – Blockchain Assurance & Governance
BAG provide immutable, audit-ready evidence acros operational value chain, improving transparency, compliance, and resilience.
- Immutable audit logs
- Real-time traceability
- Regulatory alignm
- Evidence intergrity
- Operational reslience
Working Paper (2025)
GAB/BAG Integrated Model – Enhancing Operational Assurance in Banking
A concise research-driven analysis introducing the dual-layer GAB/BAG framework for operational resilience, traceability, and assurance across banking workflows.
why the GAB/BAG Model Matters
The GAB/BAG Integrated Model addresses a growing need in banking operations: combining intelligent automation with trustworthy, audit-ready evidence. It is designed to support both day-to-day efficiency and long-term regulatory assurance.
- Bridge AI-driven automation with robust governance and auditability.
- Reduces operational risk by improving traceability across front-to-back processes.
- Generates structured, reusable evidence for regulators, auditors, and internal control.
- Provides a research-backed framework that can be extended in a DBA/PhD context.
Key Capabilities of the GAB/BAG Model
Workflow & Exception Management
GAB orchestrates front-to-back workflows, flags anomalies, and supports exception handling with contextual recommendations.
Knowledge Extraction
Unstructured documents, emails, and procedures are transformed into structured, queryable knowledge assets.
Operational Risk Insights
Recurrent incidents and control weaknesses can be detected earlier and documented consistently across teams.
Immutable Evidence Layer
BAG logs critical events and approvals on an immutable ledger, creating audit-ready evidence across the value chain.
Traceability & Transparency
Stakeholders can trace who did what, when, and under which rule set, without exposing sensitive client data.
Regulatory & Audit Alignment
The model is designed to be mapped to frameworks such as operational resilience, internal control systems, and audit standards.
About the Author
Hervé Racordon is a senior banking professional specialized in operational processes, internal control, and front-to-back coordination. Building on more than 20 years of experience in Swiss private banking, he is developing the GAB/BAG Integrated Model as part of a research-driven journey towards a future DBA/PhD.
- Extensive experience in Swiss private banking operations
- Focus on AI, automation, and operational resilience
- Creator of the GAB/BAG Integrated Model
- ORCID:
0009-0008-9382-3191