Category: Artificial Intelligence

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.

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.

Learn how a major UK energy retailer partnered with Gorilla, an AWS Partner, to transform its residential pricebook process from a 10 to 14 day manual workflow into an automated, cloud-native solution that delivers updated pricing in under one hour, achieving a 95% reduction in cycle time, 75% fewer pricing errors, and full Market-wide Half Hourly Settlement (MHHS) compliance, all without replacing its existing SAP IS-U infrastructure.

As enterprises deploy AI agents at scale, traditional identity governance designed for human users can’t keep pace. With 80% of organizations reporting unintended agent actions, the need for purpose-built agent identity security has never been greater. Learn how SailPoint’s Agent Identity Security (AIS), built on Amazon Bedrock AgentCore, extends proven governance principles to autonomous AI agents, enabling automatic discovery, least-privilege enforcement, and continuous access reviews without slowing innovation.

Grubhub and Vody are proving that the winners of AI-powered commerce won’t be defined by a single breakthrough feature, they’ll be the retailers who invest early in unified, AI-ready data foundations built on AWS. By modernizing catalog, content, and behavioral data across 400,000+ merchants, they delivered initial model results in just 6–10 weeks and demonstrated measurable improvements in search relevance, conversion, and customer experience, offering a blueprint for retailers preparing to lead the next wave of AI innovation.

Aikido Security and Kiro help development teams secure the AI development lifecycle without slowing release velocity. The Aikido Kiro Power brings automated vulnerability detection, secrets scanning, and infrastructure as code checks directly into the agentic development workflow, with findings surfacing in context and fixes applying automatically in under 30 seconds. This post explores how the Aikido Power works, how to install it, and how organizations across startups, ISVs, and regulated enterprises benefit from continuous security that runs alongside every code change.