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Credit & Risk Document Automation

Accelerate your financial and performance reporting with scale and accuracy.

Streamline the review process and integrate machine learning to flag potential risks while generating automated credit reporting with Natural Language Generation (NLG) technology.

Discover how Yseop’s platform streamlines, simplifies and empowers a new standard of accuracy and consistency for risk analysis.

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A Solution for Credit and Risk

Human-powered data analysis and insight generation is a slow process, time-consuming, and filled with the opportunity for error which can harm credit risk evaluation and business decisions.

Compliant Reporting: Our software has compliance knowledge built in, ensuring that the complex regulatory landscape is adhered to and the risk of error in manual writing is removed. Produce consistently accurate financial reports that are compliant at every turn.

Accurate Data: The Yseop Copilot platform ensures teams can make smarter decisions based on accurate data insights.

Time Savings and Cost Efficiency: By automating credit & risk reports and leveraging preconfigured report models, ontology, and intentions specific to risk, teams can respond quicker to customers.

Explore Automation Built to Augment the Credit and Risk Workforce

Streamline report analysis in 4 steps:

1. Upload client financial data

2. Choose the type of analysis: simple or enriched

3. Generate the test and copy it into the credit proposal

4. Finalize the analysis and send it to the risk department for review and approval

Automation Packs for Credit & Risk

Used by Business specialists and analysts to automate all their credit risk reports.

  • Faster responses to customers
  • More time to focus on complex analysis or files
  • Increased efficiency with better quality reports
Connect with an expert
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We wanted to be certain and very accurate around what we produce in these documents that are submitted to health authorities. We want to deliver a draft through Artificial Intelligence that is 100% reliable and needs no further editing by human medical writers. That is what we have achieved with the Yseop collaboration.
Laetitia MarosseroDomain Lead and Wearables, Sanofi
Machine learning is a part of every aspect of Lilly’s future, from drug discovery to clinical trials to manufacturing to patient support. Yseop brings a novel approach to regulatory submissions and other reporting, and we see opportunities to bring Yseop’s technology to teams throughout the enterprise.
Diogo RauSenior VP & Chief Information and Digital Officer, Lilly
Equipped with instant insights and impactful visuals and texts, our finance teams can now jump into the next generation of data analytics.
Hélène DoréGlobal Chief Transformation Officer for Finance & Legal, L'Oréal
Yseop enables us to focus our discussions on action plans for the branch. Now we spend more time talking about sales performance rather than analyzing figures. It saves time for myself and my team.
Branch DirectorFrench Multinational Retail Bank
The Yseop engine produces this commentary in less than a second. We are just scratching the surface with this technology.
Director, Global Process OwnerProduct Control at a Tier 1 US Bank
With Yseop, we give clear explanations to our customers. The customer understands the decision and I have more time to focus on other opportunities. It's a real innovation!
Client BrokerInternational Insurance Company
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Case Studies

At the forefront of innovations and developments in AI and NLG.

Lill

The Road to an Automated Clinical Document Landscape at Eli Lilly

How Lilly tapped into Generative AI capabilities with Yseop. Yseop is leading the way in content automation for regulated industries.

Generalizing business analysis access at Sanofi

Providing a summarized and dynamic sales analysis to business analysts and other key stakeholders at Sanofi.

Producing sales performance reviews at a French multinational retail bank

Providing a leading retail bank’s branch management with key performance insights and personalized action plans.
View More Case Studies

Frequently Asked Questions

Finance & Risk: Credit & Risk

Generative AI is a class of AI techniques that involve creating content, data, or output that is not directly copied from existing examples, but rather generated by the AI system itself from data and documents.

Yseop uses generative AI for content creation in regulated industries like life science and finance. We use several types of generative AI technologies and techniques depending on the type of information used as an input and the target output format (e.g. table, text, etc.)

Yseop Copilot is a powerful automation tool available to medical writers and financial services professionals, using LLMs for content generation in a secure and seamless way – all pre-configured for BioPharma. ChatGPT does not meet the requirements needed for regulated industries when it comes to compliance and accountability.

Natural Language Generation (NLG) is a subsection of Natural Language Processing (“NLP”). NLG software turns structured data into written narratives, writing like a human being but at the speed of thousands of pages per second.
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