Finance AI Agent

Prevent Risks, Enhance Financial Stability

Identify, predict, and mitigate financial risks before they escalate.

Partnership with Deloitte:
Advanced Financial Risk Dashboard

By integrating MoBagel's top-tier AutoML, Deloitte’s risk dashboard improved financial anomaly detection accuracy from 80% to over 99%, empowering smarter, data-driven decisions.

Comprehensive Key Risk Indicator

Top-tier AutoML

60%

of CSCOs are expected to make faster, more accurate decisions, in real time.

71%

of leaders reporting they expect to prioritize data-driven approaches.

$58.55billion

Projected to reach by 2031

60%

of supply chain organizations are investing in GenAI

Use Case

Real-Time Financial Risk Monitoring

Ensure immediate action and safeguard stability with real-time insights.

Fraud Detection

Identify and prevent fraudulent activities to safeguard financial stability.

Transaction anomaly identification
Unauthorized activity detection
Immediate proactive alert triggers

Customer Default Prediction

Forecast customer payment risks to reduce bad debts and enhance cash flow.

Overdue payment analysis
Credit risk analysis
Real-time notifications

Internal Default Prediction

Empower critical financial strategies with actionable and reliable intelligence.

Internal funding gap prediction
Resource waste identification
Operational risk detection

Enhance Default Prediction with Deloitte

Businesses have struggled to detect financial anomalies in real time, with traditional methods achieving only 80% accuracy. MoBagel, in partnership with Deloitte, boosting accuracy to over 99%, proactively mitigating risks, and enabling smarter financial decisions.

19%

Increase in
Risk Detection

99%

Financial Risk
Detected

$6M

Overdue Payments
Prevented

Secure Your Financial Future

FAQs

Can MoBagel’s AI platform integrate with existing systems?

Yes, MoBagel’s AI platform is designed for seamless integration with existing business systems, offering no-code solutions with generative BI dashboards and reporting tools. It supports mainstream databases like MSSQL, MySQL, MongoDB, and BigQuery, as well as CRM, ERP, and GA systems. Advanced features include AI agent flow and process control, along with APIs for custom data pipeline integration, SSO, and advanced organizational permissions. These capabilities facilitate rapid and flexible adaptation to various business scenarios, enhancing operational efficiency and data-driven decision-making.

How does MoBagel support decision-making processes?

MoBagel boosts decision-making precision and efficiency using AutoML, expert-tuned LLMs for dynamic business scenarios, and generative AI Agent flows, all framed by Stanford Design Thinking to automate processes, reduce costs, and enhance profitability.

How does MoBagel handle data security?

MoBagel secures data with strict protocols, ISO 27001 compliance, and offers on-premise solutions for heightened data sensitivity. This ensures data remains secure and private, earning the trust of highly sensitive institutions including several Fortune 500 companies, governments, financial banks, and telecommunications.

What technologies are used in MoBagel’s Generative AI Builder Platform?

MoBagel employs Stanford Design Thinking processes and a combination of state-of-the-art, domain-specific LLMs fine-tuned for easy problem-solving. By integrating AutoML and DataOps, the platform ensures high-precision and real-time data processing, enabling effective predictive analytics and actionable business insights.