Yseop launches ALIX, an application that instantly shows the power of AI automation for report creation


 Yseop, a pioneer in Natural Language Generation (NLG) and world-leading AI software company, today announced the launch of ALIX, an immediate discovery application to showcase how quickly and easily financial institutions can transform and grow their business through intelligent report automation using Yseop’s Augmented Financial Analyst solution.

Financial analysts spend 48% of their time writing and updating reports. This falls to 9% when using Yseop’s Augmented Financial Analyst, a significant Return on Investment (ROI).

Language Artificial Intelligence has made incredible progress in the last several years, with many Tier 1 financial institutions deploying the technology at scale to automate report writing. Despite this, it has been difficult for many business end-users to understand which reports can be automated without technology specialists’ help.

With ALIX, business end-users can determine in less than a minute what portion of their reports – such as annual financial statements, fund performance or risk and compliance reports – can be automated. Based on Yseop’s pre-trained algorithm, ALIX provides an immediate analysis of the uploaded financial report and identifies what can be automated on the Augmented Financial Analyst platform.

Yseop’s powerful industry-leading patented platform encompasses Natural Generation Language, Natural Language Understanding (NLU) and Machine Learning capabilities to draw insight from structured data, translating them into clear and high-quality written reporting narratives.

Also Read: How can CIOs Stay Relevant in Today’s Enterprise Environment

Key benefits for automating financial reports include:

  • Empowering analysts: enable teams to focus on more valuable and strategic work, empowering them with more insights to drive better decision making.
  • Reducing cost: automatically generate data-driven reports, saving time and resources.
  • Improving accuracy: remove the risk of manual human errors in reporting, ensuring high-quality and accuracy as standard.
  • Increasing efficiency: streamline processes and produce high volumes of reports faster whilst maintaining consistency.

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