Augmenting Credit Rating Agencies with Generative AI

Multimodal automates workflows in credit rating agencies with purpose-built, explainable, and adaptable AI Agents.

Faster turnaround times

80%

workflow automation

15%

Increase in Revenue

How Multimodal AI Agents work

Our AI Agents learn, think, and act with different built-in capabilities. We fine-tune these AI Agents on your company data and deploy them as APIs through our AgentFlow platform.

Unstructured AI

Processes unstructured data for RAG architectures and downstream GenAI applications.

Document AI

Trained on your schema to extract, label, and organize data from structured and unstructured documents.

Decision AI

Ingests your internal manuals and guidelines, providing accurate data-driven decision recommendations for complex workflows.

Database AI

Access company databases to answer queries, interpret datasets, and provide actionable insights.

Conversational AI

Your in-house chatbot that accesses unstructured internal data to provide customer and employee support.

Report AI

Generates reports, policies, messages, and other documents in your company’s unique style while staying compliant with regulations.

Multimodal AI Agents automate finance tasks with precision

Data collection and analysis

80%

Faster data collection
and analysis

90%

Accuracy in data analysis

Automated data extraction: Extract data from unstructured sources like financial statements, news articles, and market data for faster analysis.
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Advanced data analysis: Perform advanced data analysis, including financial ratio analysis, credit risk modeling, and scenario analysis.
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Real-time data monitoring: Monitor market data and economic indicators in real-time, identifying factors that may impact creditworthiness.

Rating dissemination

80%

reduction in rating
dissemination time

95%

accuracy in rating delivery

Automated rating: Generate clear and concise credit memos/rating reports and deliver ratings to investors, analysts, and other stakeholders.
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Real-time rating updates: Enable real-time updates to credit ratings, ensuring that investors have access to the most current information.
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Personalized rating delivery: Offer personalized rating delivery options, allowing investors to customize the frequency and format of rating updates.

Sentiment analysis

80%

Faster sentiment analysis

95%

accuracy in sentiment analysis

Automated sentiment analysis: Analyze sentiment in news articles, social media posts, and other text-based sources to identify trends and patterns.
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Real-time sentiment monitoring: Monitor social media and news sentiment in real-time, identifying factors that may impact creditworthiness.
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Sentiment-based ratings adjustment: Adjust credit ratings based on changes in sentiment, taking into account the impact of public opinion on creditworthiness.

Continuous model monitoring

90%

accuracy in model performance evaluation

20%

improvement in model accuracy

Model performance evaluation: Continuously evaluate the performance of credit rating models, ensuring that they remain accurate and relevant.
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Model drift detection: Detect model drift, residuals, and anomalies, identifying changes in the underlying data that may impact model performance.
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Model retraining: Automate the retraining of credit rating models as needed to maintain accuracy and relevance.