AWS Partner Network (APN) Blog

TEKsystems Global Services (TGS) helped a large media and entertainment enterprise transform their Amazon Connect Customer automated evaluation system from 66.67 percent accuracy to 100 percent. They developed a strategic classification framework that matches each evaluation question to the optimal automation method, either generative AI, conversational analytics categories, or contact metrics. This layered approach eliminated AI hallucinations, enabled full interaction coverage, and turned quality assurance from an unreliable manual process into a trusted, production-ready system that delivers actionable coaching insights at scale.

As generative AI adoption accelerates, the gap between deploying automation and making it trustworthy is becoming the critical differentiator. The next frontier of multi-modal insights and real-time coaching starts with the right foundation.

Autonomous AI agents are transforming financial services — but in regulated industries, capability alone doesn’t drive adoption. Trust does. In this post, Fenergo and AWS engineers walk through the architecture behind the Fenergo Agent Operating System (Agent OS): a governance-first layer built on Amazon Bedrock, Amazon DynamoDB, Amazon SNS, Amazon SQS, and Amazon Timestream for InfluxDB that makes every agent decision traceable, explainable, and audit-ready. Learn how to design agentic AI systems that answer the question regulators always ask: why?

A data migration consulting firm’s growth was limited by dependence on a small group of expert practitioners to execute complex validation workflows, creating bottlenecks that delayed client deliverables and constrained profitability. Mission Cloud and AWS built a production AI agent on Amazon Bedrock AgentCore that guides consultants through structured validation workflows and supports natural language SQL analysis, democratizing expertise across the entire team. New employees are onboarded significantly faster, and validation cycles that previously took weeks now complete in days.

F5 AI Guardrails and F5 AI Red Team deliver continuous adaptive security for AI applications on AWS Bedrock. This post introduces three capabilities for enterprise AI security: pre-deployment model evaluation, adversarial testing at scale, and adaptive runtime protection. Learn how these capabilities compress the gap between threat discovery and defense deployment from weeks to minutes.

AWS Partners can now access three new Forward Deployed Engineering (FDE) pathways and earn credentials through AWS Skill Builder to build and validate the depth required for production-ready agentic AI delivery.

We are excited to highlight 156 AWS Partners that received new or renewed specializations in September for our global AWS Competency, AWS Managed Service Provider (MSP), and AWS Service Delivery programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

The Attributed Revenue Dashboard in AWS Partner Central brings Partner Revenue Measurement insights to life with automated revenue data by Partner product, AWS service, and billing period. Partners can use these insights to demonstrate impact, sharpen co-sell strategies, and unlock greater AWS investment.

The AWS Data Competency (previously AWS Data and Analytics Competency) is expanding with two new categories—Databases and Relational Databases—along with new performance-based Signature benefits for Partners delivering data architectures at scale.

AWS Marketplace has reduced the listing fee for professional services transactions. Combined with AI-assisted listing creation, conversational discovery through agent mode, branded Storefronts, and variable payment models, consulting partners now have the economics and the infrastructure to make AWS Marketplace a scalable growth channel. Learn how partners are investing in AWS Marketplace, and how to start building your presence today.

If your RAG deployment has plateaued—struggling with cross-domain reasoning, noisy retrieval at scale, or a model that never truly learns your business—you’re not alone. In this post, we explore how 4MINDS’s continuous model adaptation on AWS moves beyond RAG’s stateless architecture by building enterprise knowledge directly into model parameters, enabling AI that improves with every interaction. Learn how this AWS Marketplace solution integrates with Amazon Bedrock and Amazon SageMaker to deliver domain-adapted models without the operational burden of traditional fine-tuning.