[ CASE STUDY > FINTECH + AI GOVERNANCE ]
Fintech + AI Governance Case Study
Enabling AI Governance & Compliance in Fintech
AI Data Curation & Deployment
Client Profile
A global fintech platform providing AI-driven financial services for enterprise customers across banking, insurance, and investment sectors.
The Challenge
As this fintech provider began expanding its AI offerings to clients, it quickly recognized a critical gap: its customers’ data environments were deeply fragmented and largely unprepared for AI implementation.
With data spread across unstructured file shares, outdated systems, and unmanaged cloud repositories, most customers lacked awareness of the growing web of AI-related governance and compliance mandates – ranging from GDPR and CCPA to new AI-specific frameworks like the EU AI Act and U.S. state-level regulations.
The risk? Poorly curated data entering AI pipelines could lead to biased results, a lack of explainability, and exposure to non-compliance, putting both the fintech company and its clients at risk of regulatory violations, reputational damage, and litigation.
The Breakthrough
To proactively address this challenge, the fintech company partnered with Aparavi to integrate the Aparavi Data Suite into its AI delivery model.
With Aparavi’s help, they:
- Connected to Distributed Customer Data: Securely accessed and scanned customer environments without moving data, maintaining compliance with data sovereignty and security rules.
- Audited and Classified Critical Data: Used AI-assisted classification to identify sensitive information, proprietary financial data, PII, and high-risk content across environments.
- Normalized and Prepared AI-Ready Data: Standardized formats and ensured contextual integrity across datasets for accurate, fair model training and outputs.
- Built an Audit-Ready Trail: Delivered continuous monitoring and audit logs for full traceability – essential for AI governance, model explainability, and audit defense.
This approach provided the fintech company with a scalable, secure, and compliant way to curate and maintain
datasets for AI use cases, ensuring both operational efficiency and regulatory readiness.
Intelligent Data Classification and Tagging
Manufacturers work with a wide range of data types – from, CAD files, IoT logs, and quality reports to supplier documents and compliance records. Intelligent classification ensures:
✓ Sensitive or proprietary files (e.g., IP, schematics) are properly secured
✓ Redundant or obsolete data is flagged for cleanup
✓ The right data gets routed to the right systems (ERP, MES, QMS, etc.)
Streamline operations, reduces risk, and enables automation across departments.
Seamless Integration with Existing Systems
Manufacturers often rely on a mix of legacy systems, ERPs (like SAP or Oracle), and cloud storage. Aparavi’s ability to integrate with these environments and operate without moving data is huge.
✓ Easily connects to file servers, endpoints, and cloud environments
✓ Prepares unstructured data for ingestion into ERP or analytics tools
✓ Automates formatting, tagging, and transfer
Speed up processes like inventory audits, production tracking, and shipment reporting, all without disrupting plant operations.
Policy-Driven Governance & Compliance Automation
With complex regulations (e.g., ISO 9001, ITAR, GDPR), manufacturers face increasing scrutiny over how data is handled and retained.
✓ Automates retention policies and access control
✓ Tracks data lineage and ensures audit readiness
✓ Provides centralized visibility into compliance status
Reduce legal and financial risk while making compliance far less labor-intensive.
Wherever you are in your AI journey, Aparavi meets you there
[ 1 ]
Data Sources
Discover, index, and visualize data across your environment—for free with Baseline.
[ 2 ]
Prep & Worflows
Classify, clean, dedupe, and contextualize your data for responsible AI use with ADS.
[ 3 ]
Deploy & Action
Build no-code workflows to chunk, embed, vectorize, and route to your LLM with our DTC.
The Outcome: A seamless path from raw unstructured files to trustworthy, explainable AI
Trusted By Lead Organizations
1,600+
File Types
85%
Faster Data Processing
2,000+
AI Model Integrations
1,000+
Petabytes Processed
[ INTEGRATIONS ]
Supports Over 1,600 File Types
Aparavi supports connection to a comprehensive range
of data sources and integrations that are ready to deploy
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Why Aparavi?
We Are The Experts of Unstructured Data
Aparavi puts companies in control of their unstructured data. Our mission is to help organizations discover, classify, and unlock the value of data, reducing risk and cost.
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Frequently Asked Questions
What is the Data Toolchain for AI, and how does it help my enterprise?
The Data Toolchain for AI simplifies data governance, classification, and compliance at scale. It helps businesses automate workflows, clean and organize data, and prepare it for AI applications, making data management seamless and efficient.
Do I need technical expertise to use this platform?
No, our platform is designed with low-code automation, allowing teams to create AI-driven workflows without needing deep technical expertise. It’s intuitive and accessible for both developers and non-developers.
How does Aparavi ensure data security and compliance?
Aparavi includes built-in security features like PII detection, permissions management, and policy-driven controls to protect sensitive data and ensure compliance with regulations.
What types of data can the platform handle?
The platform supports over 1,000 file types and integrates seamlessly with databases, cloud storage, and on-premises systems, making it easy to find, clean, organize, and prepare enterprise data for AI.
How can I get started with the Data Toolchain for AI?
You can start for free—no credit card required. Simply sign up, connect your data sources, and begin automating workflows to make your data AI-ready.
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