Educational institutions often receive an overwhelming volume of repetitive email inquiries, creating manual processing bottlenecks, delayed responses, and decreased satisfaction among students. MilGo required a scalable solution to:
- Classify emails with high accuracy.
- Automate responses to frequently asked questions.
- Enhance visibility into system performance through real-time dashboards.


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Challenge

MilGo developed an Automated Email Classification and Response System using Amazon Bedrock on AWS, achieving over 95% accuracy in email sorting with Claude models. The system matches emails to predefined templates for automated replies, handling FAQs and routine queries to minimize manual effort. Real-time performance, including accuracy and response times, is monitored through AWS CloudWatch dashboards.

Solution

Amazon Bedrock: Core service used for deploying generative AI models for email classification and response automation.
Amazon S3: Used for storing email templates, logs, and other key data.
Amazon CloudWatch: Enabled real-time monitoring of system performance and response metrics.

AWS Services Leveraged

50% reduction in manual email processing workload.

95% accuracy in email classification, ensuring precise sorting.

Improved response times, enhancing overall student satisfaction.

Enhanced operational visibility through real-time dashboards.

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Added Value

MilGo

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Learn how MilGo automates email classification and responses using Amazon Bedrock to improve response times and enhance student satisfaction.

Case Study - MilGo

Using Amazon Bedrock to automate large-scale email responses

Redesigning an old fashioned application and updating it to cloud environment and enhancing the trip experience for participants with automatic user personalization, cutting edge UX & UI.


Over 50 languages and countries, smart trip search, trip registration, and a unique CMS system for setting up new websites without a code.

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Public Website

Establishing an app and enhancing the trip experience for participants with automatic user personalization, cutting edge UX and UI.

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Taglit Participant Application

Donation website, trip planning system, reports, and more ...

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And More…

Management method scrum for providing fast throughput for clients.

Flexibility between front, back, apps (Android and iOS) developers.


Fully managed and flexible team (for any need that might occur).


Technological accelerator while supporting legacy systems.


Substantial technological change from monolithic to microservices.


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Cloud-Native Applications

Monolith to Microservices

Software

Studio

Your longer title can also fit in here

Taglit Suite

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Taglit-Birthright Israel, also known as Birthright Israel or simply Birthright, is a not-for-profit educational organization that sponsors free ten-day heritage trips to Israel, Jerusalem, and the Golan Heights for young adults of Jewish heritage, aged 18–32. Taglit is the Hebrew word for 'discovery'

  How we updated Taglit's legacy systems into novity microservice systems

Case Study - Taglit Suite

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Organizations face significant challenges in managing large volumes of candidate resumes, accurately matching job roles, and assessing candidate fit. Traditional recruitment processes often result in delays, high operational costs, and suboptimal hiring decisions. SoluGen recognized an opportunity to tackle these challenges by using Amazon Bedrock’s Claude model to automate recruitment workflows.

SoluGen developed an AI-powered Recruitment Optimization System on AWS to automate and enhance recruitment processes:
- Resume Parsing and Analysis: Amazon Bedrock was integrated to extract and analyze candidate information with high accuracy, ensuring detailed resume parsing.
- Job Matching Engine: By leveraging Claude models in Amazon Bedrock, SoluGen’s system intelligently matches candidates to open positions based on skills, experience, and job requirements.
- Candidate Risk Assessment: The system highlights potential fit issues, such as mismatches in experience or skill gaps, providing HR teams with risk assessments.
- Real-Time Dashboards: Utilizing Amazon CloudWatch, SoluGen implemented reporting dashboards that provide actionable insights into candidate rankings, match scores, and recruitment performance.

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- Amazon Bedrock: Core service for deploying generative AI models to power resume analysis and job matching.
- Amazon S3: Used for securely storing resumes, candidate profiles, and related data.
- Amazon CloudWatch: Enabled real-time monitoring and performance tracking of the recruitment optimization system.

20% reduction in time-to-hire, speeding up the recruitment process.

90% accuracy in candidate-job matching through AI-powered recommendations.

Streamlined processes: HR teams saved significant time through automated parsing and risk assessments.

Improved decision-making: Actionable insights provided by detailed dashboards improved hiring outcomes.

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SoluGen AI

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Learn how SoluGen uses generative AI on AWS to automate recruitment, streamline processes, and improve hiring accuracy.

Case Study - SoluGen AI

Utilizing GenAI on AWS to streamline hiring processes