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InfoCert Enhances Its ML Capabilities Using Generative AI on AWS

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"Using Amazon Bedrock, we have the opportunity to access a broad variety of pretrained models, which were not available with other vendors."

Fabrizio Leoni
Head of Innovation Portfolio, InfoCert
 

InfoCert enhanced its Legalmail service using generative artificial intelligence on AWS. As one of Europe’s largest providers of trust services, InfoCert creates solutions that help companies keep their digital communications secure and reliable. Creating custom machine learning (ML) models for processing documents and email according to customers’ specific needs was costly and time consuming. Using Amazon Bedrock, InfoCert streamlined its processes and can now offer its ML-powered capabilities to more customers. Using AWS, the company expects to reduce startup costs for ML features by 80 percent; ongoing costs by 20 percent; and the time for model definition, training, and refining from months to weeks.

“Using Amazon Bedrock, we have the opportunity to access a broad variety of pretrained models, which were not available with other vendors,” says Fabrizio Leoni, Head of Innovation Portfolio at InfoCert. “We aim to move from a custom approach to a more general solution that requires minimal adjustments and no model training.”

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As a leading provider of qualified trusted solutions in Europe, InfoCert helps companies keep their communications secure. Its Legalmail solution helps businesses verify the authenticity and legal validity of their email exchanges, which is critical for meeting compliance standards. To enhance the efficiency and scalability of Legalmail’s features—and to make them available to more customers—InfoCert adopted generative artificial intelligence (AI) capabilities from Amazon Web Services (AWS). By using generative AI, the company is streamlining access to innovative document and email processing features and paving the way for more efficient machine learning (ML) integrations.

Streamlining ML Integrations Using Amazon Bedrock
 
Previously, InfoCert built custom ML models to help classify and process emails and attachments for each Legalmail customer. Training and deploying these models was a lengthy, costly process, which limited access to this set of capabilities to larger companies. While InfoCert was searching for a way to streamline such ML integrations, AWS invited the company to preview  Amazon Bedrock, a fully managed service that can be used to build and scale generative AI applications with foundation models.
 
“Using Amazon Bedrock, we have the opportunity to access a broad variety of pretrained models, which were not available with other vendors,” says Fabrizio Leoni, Head of Innovation Portfolio at InfoCert. “We aim to move from a custom approach to a more general solution that requires minimal adjustments and no model training.”
 
Estimating an 80 Percent Reduction in Time and Startup Costs with Generative AI
 
InfoCert conducted a proof of concept to assess the feasibility and potential of generative AI and Amazon Bedrock. Through this project, the company evolved its existing Intelligent Multichannel Classification and Routing (IMCR) system, which helps large enterprises reduce operational overhead in document and email processing. IMCR does this by automating the routing of incoming email messages and integrating with other services and tools. The new solution, IMCR AI, uses generative AI to offer a unified workflow suitable for customers with small-to-moderate information extraction needs. “By combining Amazon Bedrock’s generative models with prompt engineering, we get preliminary results that are very close to what we achieved with the previous solution, which required months for data preparation, model training, and rules definition,” says Leoni.
 
Using Amazon Bedrock, InfoCert can now integrate ML models faster and more efficiently; it anticipates a decrease in the time required for model definition, training, and refining measurable in terms of weeks instead of months. Additionally, InfoCert expects to reduce financial overhead by 80 percent for startup, development, and configuration costs when onboarding new customers. It also projects a 20 percent reduction in ongoing running costs for this solution.
 
Onboarding New Customers to a Cost-Effective System on AWS
 
InfoCert is still implementing new capabilities on AWS, but it has already seen promising results. “New customers will soon start to use our new generative AI–powered solution in production. Simultaneously, we’re conducting a side-by-side comparison with our current system to facilitate a smooth transition for existing customers,” says Leoni. “We are quite confident that we will attain the same level of classification confidence in the near future.”

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