Success Stories
Transforming Compliance with Automated Document Verification
95%
Reduction in licensing times
90%
Improvement in operational efficiency
1-2 days
Verification time, down from 1 year
Summary
An investment technology provider struggled with slow and inefficient document verification, leading to regulatory delays and operational bottlenecks. Our AI solution automated the process, streamlining compliance checks, accelerating licensing approvals, and improving overall efficiency. By eliminating manual inefficiencies, we enhanced accuracy, reduced delays, and delivered a smoother experience for both the client and their users.
About The Client
The client is an Investment Technology provider specialising in automating compliance processes. They focus on streamlining document verification for regulatory purposes, aiming to reduce operational inefficiency and improve licensing procedures for businesses. Their goal is to provide accurate, AI-driven solutions to accelerate regulatory compliance.
The Challenge
- Manual & Lengthy Verification: The document verification process was slow and heavily reliant on manual effort, leading to inefficiencies.
- Operational Inefficiency: The lengthy verification process resulted in delays, affecting overall productivity.
- Delayed Licensing: Due to the time-consuming nature of manual checks, licensing approvals were often delayed, which impacted clients’ ability to operate in a timely manner.
These challenges hindered the client’s ability to provide quick and efficient compliance services.
The Solution
We implemented an AI-powered solution that automated the entire document verification process, offering the following capabilities:
- AI Scanning & Analysis: The system automatically scans and analyses submitted documents for discrepancies.
- Discrepancy Identification: The platform identifies inconsistencies and flags any non-compliant documents.
- Instant Feedback Provision: Users receive immediate feedback on their submissions, enabling faster resolution of issues.
- Non-Compliant Flagging: The system flags non-compliant documents for further review, ensuring that only valid submissions proceed.
Technology Stack
- ML Algorithms: For scanning, analyzing, and identifying discrepancies in submitted documents.
- Natural Language Processing (NLP): To process and understand the content of the documents.
- Data Integration via API: Ensures seamless integration with external data sources for real-time updates.
Results
Our solution delivered significant improvements, including:
- Verification Time Cut to 1-2 Days: Automation drastically sped up the process, reducing verification time from one year to just 1-2 days.
- 90% Boost in Efficiency: Streamlined workflows saved time and significantly improved operational productivity.
- Licensing Delays Slashed by 95%: Faster approvals became possible as licensing delays were minimized.
- Enhanced Customer Experience: Users benefited from quicker processes and more accurate feedback.