Automation and Workflow Engineering Case Study:
Hyperautomation Framework for Financial Operations
Context
A regional financial institution sought to reduce operational costs and improve compliance efficiency across risk, reporting, and reconciliation functions. Manual processing, fragmented legacy systems, and inconsistent workflows resulted in delays and higher audit exposure. The leadership team engaged SentinelX Digital’s experts to design a secure, scalable automation framework aimed at improving efficiency, transparency, and data governance.
Challenge
The institution’s operations teams handled high-volume, repetitive processes such as daily reconciliations, KYC updates, and financial reporting. The existing legacy systems lacked integration, causing duplication of effort, manual errors, and inconsistent compliance outcomes. The organization required a technology-agnostic automation approach to unify data flows, accelerate turnaround time, and support evolving regulatory standards (e.g., AML, KYC, and Basel guidelines).
SentinelX Approach
SentinelX Digital’s automation and AI specialists developed a structured hyperautomation framework integrating robotic process automation (RPA), AI-driven document intelligence, and workflow orchestration capabilities.
The delivery model emphasized governance, scalability, and transparency, combining human-in-the-loop validation with intelligent automation to ensure auditability and control.
Key activities included:
- Mapping and optimizing 25+ financial workflows across reconciliation, validation, and compliance domains.
- Deploying scalable RPA pipelines for repetitive, rule-based operations in risk and finance functions.
- Implementing AI-OCR models to extract, classify, and validate structured data from regulatory documents.
- Establishing a governance dashboard with real-time utilization, exception tracking, and SLA performance monitoring. The program was executed in phased sprints, allowing early value realization and rapid scaling across multiple business units.
Outcomes & Impact
The engagement delivered measurable operational improvements typical of large-scale financial automation programs:
- ~70 % reduction in manual processing time for high-volume workflows.
- Operational cost savings in the range of ₹ 2 crore annually (estimated).
- ~40 % improvement in SLA adherence and regulatory reporting accuracy.
- Seamless integration achieved between legacy core systems and modern cloud-based applications.
These results highlight SentinelX Digital’s proven methodologies for building scalable, compliant, and AI-enabled financial operations.
Technology Stack
UiPath | Power Automate | Azure Cognitive Services | AgilePoint | Power BI | Secure Cloud Infrastructure
Disclaimer
This case study illustrates SentinelX Digital’s methodologies and consultant-led expertise in automation and workflow engineering. All figures are indicative of typical performance outcomes observed in comparable financial services programs. Client names, data, and organizational details have been anonymized to maintain confidentiality.