AI & Agentic
Agentic Ecosystem Banking
Designed and delivered an agentic AI framework for a regional bank, deploying autonomous AI agents across customer onboarding, servicing, fraud detection, and loan underwriting — reducing manual processing time and improving decision accuracy.
The Challenge
The bank's operations were characterised by high manual processing volume in precisely the areas most amenable to automation: identity verification at onboarding, repetitive servicing queries, rules-based fraud flag review, and document-heavy underwriting workflows. Existing automation (RPA) was brittle, broke on edge cases, and required constant maintenance. The bank needed agents that could reason — not just execute scripts.
Our Solution
Cody designed a multi-agent architecture using a LangChain-based orchestration layer with specialist agents for each domain. Onboarding Agent: KYC validation and regulatory checklist completion. Servicing Agent: bilingual natural-language query resolution with human-handoff escalation. Fraud Detection Agent: continuous transaction monitoring with anomaly scoring and case summary generation. Underwriting Agent: credit bureau aggregation, document parsing, and risk scoring with full audit trail. All agents operate under a compliance-by-design framework — no autonomous financial decision is made without a reviewable human approval step, satisfying SAMA oversight requirements.
How We Did It
- Onboarding Agent: KYC document validation, biometric cross-reference, regulatory checklist
- Servicing Agent: multi-turn bilingual conversation, account inquiry, dispute triage
- Fraud Detection Agent: real-time anomaly scoring with alert triage and case summaries
- Underwriting Agent: document parsing, risk scoring, preliminary decision with audit trail
- Compliance-by-design: every material output includes a reviewable human approval step
Key Outcomes
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