From Chaos to Agentic Automation
Turning a compliance risk into an operational advantage!!
Our Solution:
We designed and deployed an AI-powered Automation Agent (SwiftBot) to orchestrate the complete SWIFT payment validation and processing lifecycle. The ML Classifier served as the brain for critical thinking and decision-making, while RPA automated repetitive tasks with precision and speed. Leveraging AI-driven validation logic for compliance checks, SwiftBot operated as a seamless bridge between core banking applications, compliance systems, and operational teams.
The solution was engineered with:
- Natural Language Processing (NLP) to interpret transaction metadata.
- Intelligent Decision Frameworks to dynamically route exceptions.
- Automated Compliance Rules Engine to ensure regulatory alignment in real time.
- API-Driven Integration Layer for frictionless connectivity with upstream and downstream systems.
This AI assistant didn’t merely replace human effort — it amplified operational capability, operating 24/7 with zero fatigue and near-instantaneous decision-making. The architecture was designed for scalability, enabling the bank to extend the agent’s capabilities to other payment streams in future.
Business Impact:
- Enhanced transaction accuracy and compliance adherence by an estimated 30-40%.
- Reduced end-to-end processing time by approximately 50%.
- Freed operations teams to focus on high-value exception handling, improving team productivity by 25%.
- Established a future-ready automation framework capable of evolving with regulatory changes.
Our Role:
We engaged from stakeholder discovery through delivery, defining business requirements and preparing Process Design Documents (PDD) and Solution Design Documents (SDD) in the early development stage. We assembled and managed a cross-functional team of developers, architects, and project managers to deliver the solution. Coordinated all stages of development, oversaw rigorous UAT, and ensured seamless go-live.
Technology Stack:
AI/ML Models, NLP, RPA, API Integrations, Core Banking Interfaces
Keywords:
AI Assistant, Automation Agent, RPA, NLP, Intelligent Document Processing, Banking Automation
Client
Leading BFSI Institution
Industry
Banking & Financial Services
Solution Area
AI, RPA, Intelligent Automation
Challenge
The client faced significant inefficiencies in SWIFT payment processing, where manual interventions, repetitive checks, and validation steps slowed down transaction turnaround times and increased operational risk. Regulatory compliance demands required meticulous data validation, yet human-led processes were susceptible to delays and inconsistencies.
Turning a compliance risk into an operational advantage!!
Our Solution:
We designed and deployed an AI-powered Automation Agent (SwiftBot) to orchestrate the complete SWIFT payment validation and processing lifecycle. The ML Classifier served as the brain for critical thinking and decision-making, while RPA automated repetitive tasks with precision and speed. Leveraging AI-driven validation logic for compliance checks, SwiftBot operated as a seamless bridge between core banking applications, compliance systems, and operational teams.
The solution was engineered with:
- Natural Language Processing (NLP) to interpret transaction metadata.
- Intelligent Decision Frameworks to dynamically route exceptions.
- Automated Compliance Rules Engine to ensure regulatory alignment in real time.
- API-Driven Integration Layer for frictionless connectivity with upstream and downstream systems.
This AI assistant didn’t merely replace human effort — it amplified operational capability, operating 24/7 with zero fatigue and near-instantaneous decision-making. The architecture was designed for scalability, enabling the bank to extend the agent’s capabilities to other payment streams in future.
Business Impact:
- Enhanced transaction accuracy and compliance adherence by an estimated 30-40%.
- Reduced end-to-end processing time by approximately 50%.
- Freed operations teams to focus on high-value exception handling, improving team productivity by 25%.
- Established a future-ready automation framework capable of evolving with regulatory changes.
Our Role:
We engaged from stakeholder discovery through delivery, defining business requirements and preparing Process Design Documents (PDD) and Solution Design Documents (SDD) in the early development stage. We assembled and managed a cross-functional team of developers, architects, and project managers to deliver the solution. Coordinated all stages of development, oversaw rigorous UAT, and ensured seamless go-live.
Technology Stack:
AI/ML Models, NLP, RPA, API Integrations, Core Banking Interfaces
Keywords:
AI Assistant, Automation Agent, RPA, NLP, Intelligent Document Processing, Banking Automation
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