Development
AI Agents for Smart Finance Auditing
An insurance company transformed its auditing process by deploying AI agents to handle massive volumes of financial transactions and claims. The system automated anomaly detection, risk scoring, and regulatory reporting through machine learning, OCR, and NLP. Built on a secure, compliant cloud architecture, it integrated dashboards for prioritization and streamlined workflows. As a result, the company achieved higher accuracy, faster audit cycles, improved compliance, significant cost savings, and freed up auditors to focus on complex, high-risk cases.
Challenges
- An insurance company needed to audit large volumes of financial transactions and claims. Manual auditing was error prone, slow, and costly.
- They also needed to comply with multiple regulatory standards and generate reports in different formats.
- Their existing auditing tools lacked intelligent pattern detection, anomaly detection, risk scoring.
Solution
- Created an AI agent system to automatically parse transaction/claim data, detect anomalies using unsupervised learning, flag risky cases, and assist auditors.
- Integrated OCR and Natural Language Processing to handle documents in varied formats.
- Microservices architecture to separate data ingestion, model inference, reporting, and human review.
- Hosted on a secure cloud with compliance (e.g. encryption, audit logs).
- Built dashboards for risk scoring, case prioritization; automated generation of regulatory reports.
Benefits
-
Improved accuracy:
Anomalies and risky transactions caught early, reducing fraud and financial leakage. -
Faster audit cycles:
Reduction in manual work, faster report generation. -
Regulatory compliance:
Consistent, auditable, and transparent workflows.
-
Scalable and sustainable:
AI models continue training; human auditors focus on high-risk issues. -
Cost savings:
Reduced overhead of manual auditing and rework.
Find out what
Periscope can do for you.
Our Partner
Ecosytem
Industry Expertise
Our Clients
