Product Engineering | Applied AI Consulting

Enhancing Customer Support with AI-Driven Agent Assistance for a Leading InsureTech Provider

Thu, 22 Aug 2024 11:23:58 +0000

Enhancing Customer Support with AI-Driven Agent Assistance for a Leading InsureTech Provider

Boost Customer Support Efficiency with AI-Enhanced Real-Time Assistance and Improved Accuracy

Company Overview

A leading company in the InsureTech domain, this organization specializes in providing innovative solutions to enhance customer support and operational efficiency. They focus on leveraging advanced technologies to streamline processes and improve customer interactions. Known for their commitment to quality and customer satisfaction, the company serves a diverse clientele in the insurance sector.

Issue

Integrate AI to identify claim scenarios and provide real-time suggestions during calls.

Offer agents real-time guidance on required actions and attributes for effective claim handling.

Automate updates to customer and case information based on input received during calls.

Allow agents to verify details and access downloadable call recordings, transcripts, and summaries for thorough review.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Enhanced Call Management: Developed an Agent Assist feature allowing agents to dial numbers directly from the Connect Control Panel (CCP) and integrated Amazon Contact Lens for scenario identification and real-time transcription with Amazon Transcribe.

AI-Powered Assistance: Utilized Amazon Wisdom to suggest required attributes and actions, and ensured automatic updates to customer and case information in the CCP based on call insights.

Real-Time Analytics & Documentation: Enabled real-time analytics and reporting with AWS Cloud services, and provided agents with options to download call recordings, transcripts, and summaries for in-depth review.

Impact

Real-Time Assistance & Accuracy

Enhanced agent support with real-time identification of claim scenarios and actionable suggestions, improving accuracy and efficiency.

Faster Processing

Enabled quicker and more reliable processing of customer queries and claims, boosting overall operational efficiency.

Comprehensive Records & Focused Support

Provided detailed call records and summaries, allowing agents to concentrate on complex interactions and further analysis.

Scaling Data Analytics with Snowflake for a Leading MarTech Provider

Wed, 21 Aug 2024 12:39:16 +0000

Scaling Data Analytics with Snowflake for a Leading MarTech Provider

Optimize Data Scalability and Quality for Real-Time Marketing Insights with Snowflake

Company Overview

A leading company in the MarTech domain, this organization specializes in providing data-driven marketing solutions. Their platform leverages advanced analytics to deliver actionable insights that help businesses optimize their marketing strategies. Known for their innovative approach and commitment to quality, the company serves a diverse clientele across various industries.

Issue

The need to build a modern data analytics solution that can scale, ensuring security, compliance, and governance.

Integrating multiple data sources, including manufactured data, third-party data, and proprietary data.

Ensuring data is ingested, stored, and enriched efficiently while maintaining data quality and compliance.

Providing real-time insights and reporting using advanced visualization tools.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Comprehensive Data Platform: Built a robust data platform with AWS services like Amazon S3, AWS Glue, and Amazon Redshift, and implemented a Snowflake data warehouse for large-scale storage and processing.

Enhanced Data Quality & Reporting: Integrated third-party applications for data validation and used PowerBI for real-time insights and reporting, providing stakeholders with actionable data.

Effective Data Pipeline & Compliance: Developed a data pipeline for ingestion and enrichment, and ensured compliance with data privacy regulations through automated governance and consent management.

Impact

Scalable & Secure Data Platform

Built a data platform that is both scalable and secure, ensuring robust performance and protection.

Improved Data Quality & Compliance

Enhanced data quality and compliance through automated validation processes, providing reliable insights.

Real-Time Insights & Decision-Making

Enabled real-time reporting and insights, significantly improving decision-making capabilities and operational efficiency.

Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS

Tue, 20 Aug 2024 17:16:35 +0000

Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS

Seamless Azure to AWS Transition Enhancing DevOps and Infrastructure Modernization

Company Overview

Zykrr is a leading platform that provides real-time visibility, insights, and control over customer interactions across various channels such as SMS, WhatsApp, QR codes, email, kiosks, websites, and in-app communications. Their AI/ML-enabled platform delivers actionable insights and real-time visibility, enhancing customer and employee interactions. With a focus on automating critical customer experience management functions, Zykrr aims to deliver exceptional customer experiences and predict future actions based on sentiment analysis.

Issue

Migration & Modernization: Recreating the existing Azure setup on AWS while maintaining functionality and architecture.

Infrastructure Setup: Building and deploying a new application infrastructure on AWS, adhering to specified requirements and timelines.

Maintenance & Support: Reducing the efforts associated with deploying, maintaining, and supporting applications by leveraging AWS services.

Optimized Infrastructure: Achieving a robust, scalable, and secure AWS infrastructure.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Infrastructure Setup: Built Zykrr’s AWS infrastructure using S3 for scalable storage, EKS for managed Kubernetes, and RDS for PostgreSQL.

Application Deployment: Deployed React front-end on AWS CloudFront and S3, back-end microservices on EKS with Helm charts, and configured PostgreSQL and Redis on RDS and Elasticache.

Security & Performance: Secured infrastructure with network measures, API Gateway, and Application Load Balancer; ensured high availability and fault tolerance through multi-AZ deployments and CDN acceleration.

Impact

Successful Migration

Achieved a seamless migration from Azure to AWS with all functionalities intact.

Enhanced Deployment Efficiency

Streamlined deployment processes with AWS services, reducing operational overhead.

Enhanced Scalability, Reliability, & Cost Efficiency

Leveraged AWS’s scalability features for effective peak load management and high availability while implementing resource optimization strategies to achieve cost savings and efficient resource management.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Enhancing Sales Efficiency with an AI Sales Assistant through Advanced AWS Solutions

Tue, 20 Aug 2024 16:27:27 +0000

Enhancing Sales Efficiency with an AI Sales Assistant through Advanced AWS Solutions

From Scalability to Reliability: Enhancing Email Management and Deployment Efficiency

Company Overview

A leading company in the sales technology sector, this organization focuses on improving sales efficiency and productivity using its patented AI-based lead nurturing solution. The company’s AI Sales Assistant utilizes natural language processing (NLP) and machine learning (ML) models to ensure no lead is lost and to enhance overall sales performance. The AI Sales Assistant is designed to write, send, receive, and read emails, classifying them to take appropriate follow-up actions.

Issue

Need for Scalable infrastructure to manage a tenfold increase in daily email volume.

Requirement for Precise Email categorization and entity extraction to enhance data accuracy and processing.

Necessity to handle bounced and complaint email responses effectively to maintain communication integrity.

Urgency to Automate deployment processes to ensure continuous availability in QA and production environments.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Automated Lead Processing: Developed state machines using AWS Step Functions and Lambda for seamless lead processing and email response categorization.

Enhanced Email Validation: Implemented email validation using Debounce and Zero Bounce APIs, ensuring accuracy in the initial lead processing steps.

Integrated & Scalable Deployment: Configured AWS services for automated, zero-downtime deployments and integrated the solution with third-party CRMs like Hubspot and Pipedrive.

Impact

Scaled Email Operations

Expanded email sending capacity from 1,000 to 10,000 emails per day, meeting growing demands efficiently.

Enhanced Email Processing

Improved accuracy in processing and categorizing email responses, ensuring precise follow-up actions.

Achieved System Reliability

Implemented automated, zero-downtime deployments, ensuring high system reliability and availability.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Enhancing Genomic Cancer Diagnosis Reports for a Leading Precision Medicine Company

Tue, 20 Aug 2024 16:05:48 +0000

Enhancing Genomic Cancer Diagnosis Reports for a Leading Precision Medicine Company

Faster decisions, better usability, efficient reporting, and increased engagement with genomic data

Company Overview

A leading company in the precision medicine domain, this organization specializes in genomic analysis and diagnostics to improve patient outcomes. Their platform leverages advanced technologies to provide actionable insights for personalized treatment plans, focusing on oncology, rare, and hereditary diseases.

Issue

The need to create user-friendly, detailed, and accurate genomic cancer diagnosis reports.

Ensuring the reports are easily interpretable by healthcare providers, aiding in swift and precise treatment decisions.

Integrating complex genomic data into a coherent and accessible format.

Maintaining high standards of data security and compliance.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Conducted User Research: Gained insights into the needs of healthcare providers and patients.

Developed Streamlined UX: Created a user-friendly design for genomic reports based on professional feedback and advanced data visualization.

Ensured Compliance: Adhered to industry standards for data security and regulatory compliance.

Impact

Enhanced User Satisfaction

Simplified genomic report interpretation for improved user experience.

Boosted Decision-Making

Enabled healthcare providers to make faster, more informed treatment decisions.

Increased Engagement

Fostered greater trust and engagement from healthcare providers and patients through streamlined reporting.

Driving Quality and Reliability for Modern Mobile and Web Applications: A Case Study for a Leading Online Consulting Platform

Tue, 20 Aug 2024 15:53:13 +0000

Driving Quality and Reliability for Modern Mobile and Web Applications: A Case Study for a Leading Online Consulting Platform

Developed a modern app with mobile and web support, integrated automated testing using Selenium, pyTest, and aiTest, and validated API quality with Postman for consistent, reliable results.

Company Overview

A leading start-up in the online consulting platform domain, this company focuses on connecting end-users with top industry professionals for expert consultation services. Known for its innovative approach and cutting-edge technology, the company aims to provide seamless and efficient solutions for both consultants and clients, ensuring high-quality interactions and problem-solving experiences. Applied AI Consulting created the modern stack with payment gateway integration for this customer, emphasizing quality engineering to ensure reliability and performance.

Issue

Building a modern application with mobile and web support for their consulting platform.

Ensuring application reliability and quality through comprehensive UI and API testing.

Integrating automation testing into the CI/CD pipeline to streamline releases and improve efficiency.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Agile Collaboration and Automation Framework Development: Collaborated closely with the development team in an agile environment to create test cases and architect a selenium-python-based UI automation framework and a pyTest-based API automation framework.

Advanced Testing with aiTest and CI/CD Integration: Utilized aiTest for executing automated tests across various devices and browsers, integrated with CI/CD pipelines to ensure consistent testing across QA, pre-prod, and prod environments, and validated API quality using Postman.

Real-Time Communication and Iteration Demos: Provided real-time updates on test execution and analytics via Slack and email, and conducted end-of-iteration demos to showcase automation progress and results.

Impact

Email Optimization

Modern App Development with Automation Integration: Successfully built a modern application supporting both mobile and web platforms, integrating an automation suite into the CI/CD pipeline for consistent and reliable testing.

Productivity Boost

Robust Testing Frameworks: Developed a selenium-python-based UI automation framework and a pyTest framework for API automation, ensuring comprehensive and dependable test coverage.

Scalable Infrastructure

Cross-Platform Testing and API Validation: Leveraged aiTest for automated testing across multiple devices and browsers, and integrated Postman for API quality validation and scalable testing.

Customer Testimonials

Applied AI Consulting has been instrumental in transforming our development and deployment processes. Their innovative approach to integrating automation into our CI/CD pipeline has allowed us to scale efficiently while maintaining top-tier application reliability. The cost savings and operational efficiency gains we've experienced have been profound, enabling us to focus more on strategic growth. Their ability to seamlessly blend technical expertise with a deep understanding of our business needs has made them an invaluable partner.
VP of Engineering

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Tue, 20 Aug 2024 15:12:34 +0000

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Capital Market Platform Journey to Enhanced Scalability and Efficiency

Company Overview

A leading financial services company focused on global emerging markets, this organization delivers up-to-date market insights from major financial centers to local investors. Known for its intelligence-driven approach, the company provides valuable information to help investors navigate diverse market conditions effectively. The company is committed to leveraging advanced technologies to enhance its services and maintain a competitive edge in the financial sector.

Issue

Migrating and modernizing the content management application to AWS.

Implementing AWS cloud operations and DevOps for continuous integrations and deployments.

Enhancing scalability and reliability of the applications.

Setting up efficient monitoring and operations dashboards.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Containerized and Scalable Deployment: Containerized the EMFI application using AWS ECS Fargate and set up an ALB for traffic distribution and auto-scaling.

Automated CI/CD and Infrastructure Management: Implemented CI/CD pipelines, automated environment deployments with ASG, and managed AWS services using Terraform.

Enhanced Monitoring and Migration: Established a Datadog dashboard for monitoring and facilitated migration from private GitLab to public GitHub.

Impact

Cloud Migration and Modernization

Successfully migrated the content management application to AWS, modernizing its infrastructure.

Scalability and Reliability

Achieved high scalability and reliability through containerization and automated deployments.

Improved Monitoring and Collaboration

Enhanced system visibility with Datadog and streamlined version control by migrating to GitHub.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Product Engineering | Applied AI Consulting

Enhancing Customer Support with AI-Driven Agent Assistance for a Leading InsureTech Provider

Enhancing Customer Support with AI-Driven Agent Assistance for a Leading InsureTech Provider

Company Overview

Issue

Similar Use Cases

Solution

Impact

Real-Time Assistance & Accuracy

Faster Processing

Comprehensive Records & Focused Support

Related services

Scaling Data Analytics with Snowflake for a Leading MarTech Provider

Scaling Data Analytics with Snowflake for a Leading MarTech Provider

Company Overview

Issue

Similar Use Cases

Solution

Impact

Scalable & Secure Data Platform

Improved Data Quality & Compliance

Real-Time Insights & Decision-Making

Related services

Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS

Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS

Company Overview

Issue

Similar Use Cases

Solution

Impact

Successful Migration

Enhanced Deployment Efficiency

Enhanced Scalability, Reliability, & Cost Efficiency

Customer Testimonials

Related services

Enhancing Sales Efficiency with an AI Sales Assistant through Advanced AWS Solutions

Enhancing Sales Efficiency with an AI Sales Assistant through Advanced AWS Solutions

Company Overview

Issue

Similar Use Cases

Solution

Impact

Scaled Email Operations

Enhanced Email Processing

Achieved System Reliability

Customer Testimonials

Related services

Enhancing Genomic Cancer Diagnosis Reports for a Leading Precision Medicine Company

Enhancing Genomic Cancer Diagnosis Reports for a Leading Precision Medicine Company

Company Overview

Issue

Similar Use Cases

Solution

Impact

Enhanced User Satisfaction

Boosted Decision-Making

Increased Engagement

Related services

Driving Quality and Reliability for Modern Mobile and Web Applications: A Case Study for a Leading Online Consulting Platform

Driving Quality and Reliability for Modern Mobile and Web Applications: A Case Study for a Leading Online Consulting Platform

Company Overview

Issue

Similar Use Cases

Solution

Impact

Email Optimization

Productivity Boost

Scalable Infrastructure

Customer Testimonials

Related services

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Company Overview

Issue

Similar Use Cases

Solution

Impact

Cloud Migration and Modernization

Scalability and Reliability

Improved Monitoring and Collaboration