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    WWT’s AI Accelerator: Agentic Framework

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    WWT’s AI Accelerator: Agentic Framework is a proven solution, based on WWT’s own internal Agentic AI, for rapidly deploying advanced agent-based AI systems on AWS, purpose-built to accelerate enterprise adoption of generative and autonomous AI. Leveraging AWS Bedrock and a modular, event-driven architecture, WWT combines scalable ECS, EKS, and EC2 based microservices with secure, managed workflows to deliver intelligent agents that automate complex business processes. This comprehensive offering enables organizations to move from ideation to production quickly, dramatically reducing time-to-value compared to traditional custom builds. WWT’s Agentic AI approach ensures enterprise-grade security, robust governance, and seamless integration with existing AWS and on-premises environments. By utilizing pre-designed frameworks, reusable agent patterns, and AWS-native orchestration, customers can lower implementation costs while maintaining flexibility and control over their AI initiatives.

    Overview

    Transform Your Enterprise with Rapid, Agentic AI Deployment

    WWT’s AI Accelerator: Agentic Framework revolutionizes how enterprises harness the power of generative and autonomous AI on AWS, eliminating the complexity and delays of traditional AI projects. Built using WWT’s proven Agentic AI framework, the solution leverages a modular, event-driven architecture that seamlessly integrates AWS Bedrock, AWS Sagemaker, ECS, EKS, EC2, and Lambda to deliver intelligent, autonomous agents tailored to your business needs. Our unified approach connects your applications to advanced AI models while ensuring enterprise-grade security, robust governance, and data sovereignty.

    Accelerate Time-to-Value with WWT and AWS-Native Building Blocks

    Don’t let integration hurdles slow your AI journey. WWT’s AI Accelerator: Agentic Framework provides a library of pre-designed agent templates, reusable orchestration frameworks, and standardized protocols—enabling your teams to move from ideation to production quickly. Our solution automates the ingestion and processing of enterprise data using S3, RDS, or any other AWS compatible data source and triggers event-driven workflows with AWS Lambda. It then and stores vector embeddings in Aurora PostgreSQL Serverless (and other AWS compatible databases) for high-performance semantic search and retrieval. With WWT’s intelligent enterprise search and agent guardrails, your organization can focus on delivering business value, not building infrastructure from scratch.

    Proven Cost Optimization, Security, and Future-Ready Flexibility

    WWT’s AI Accelerator: Agentic Framework reduces implementation costs when compared to custom development, thanks to pre-built components, AWS-native services, and standardized integration patterns. Your data is protected with AWS IAM, KMS, and Secrets Manager, while WWT’s governance layer ensures compliance and auditability across all agentic workflows. Our modular design allows you to easily switch between AWS Bedrock models and custom AWS Sagemaker models or integrate new AI capabilities as they emerge, future-proofing your investment and avoiding vendor lock-in. With WWT’s deep expertise you can confidently scale agentic AI across your enterprise—accelerating innovation while maintaining control, security, and cost efficiency.

    Highlights

    • Rapidly deploy agent-based AI solutions quickly using WWT’s design principles, leveraging a modular, event-driven architecture with AWS Bedrock, ECS, EKS, EC2 and Lambda for scalable performance and cost efficiency.
    • Achieve enterprise-grade security, robust governance, and full data sovereignty with a complete AWS-native environment, utilizing IAM, KMS, and Secrets Manager alongside WWT’s design principles for security and agent guardrails.
    • Lower implementation costs when compared to custom builds through pre-designed agent designs, reusable orchestration designs, and standardized AWS-native integration patterns.

    Details

    Delivery method

    Deployed on AWS

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    Custom pricing options

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