Enterprise AI initiatives face a critical challenge: moving beyond proof-of-concepts to production-scale deployments. Amazon Web Services has addressed this with three AWS enterprise generative AI tools that transform how organizations build, deploy, and scale generative AI solutions. These new tools build on the already vast AWS AI ecosystem, including Bedrock, Nova, and SageMaker, offering enterprises even greater flexibility, scalability, and security.
The combination of Amazon Bedrock AgentCore, Nova Act SDK, and the open-source Strands SDK creates a comprehensive development ecosystem that eliminates traditional barriers to enterprise AI adoption.
The production AI gap: why most enterprises struggle
Traditional AI development approaches create bottlenecks that prevent organizations from scaling beyond pilot projects. Custom infrastructure requires 3-6 months of development time, while security compliance adds another layer of complexity.
AWS's new AI toolkit eliminates these barriers through purpose-built AWS enterprise generative AI tools that address the core challenges preventing AI production deployments.
AWS enterprise generative AI tools: Amazon Bedrock Agent Core for scaling agents
Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration, streamlining development while working with any open-source framework and foundation model.
Infrastructure purpose-built for AI agents
Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment as part of AWS enterprise generative AI tools.
Modular architecture for maximum flexibility
AgentCore's modular design includes seven key components:
- Runtime: Execute agent workflows with built-in scaling
- Memory: Persistent storage for agent context and learning
- Identity: Enterprise-grade authentication and authorization
- Observability: Complete visibility into agent performance
- Gateway: Secure API and service integration
- Browser: Web automation capabilities
- Code Interpreter: Execute code safely in sandboxed environments
Enterprise-grade security and compliance
Amazon Bedrock AgentCore Gateway provides a secure way for agents to discover and use tools along with easy transformation of APIs, Lambda functions, and existing services into agent-compatible tools. Gateway eliminates weeks of custom code development, infrastructure provisioning, and security, making it one of the most essential AWS enterprise generative AI tools.
Core business benefits
Rapid deployment
Organizations achieve 90% faster time-to-market compared to custom development approaches.
Zero infrastructure overhead
Built-in scaling, monitoring, and security management eliminate DevOps complexity.
Pay-per-use model
No upfront commitments or minimum fees until September 16, 2025, with consumption-based billing thereafter.
"At GoML, we’ve tested nearly every AI infrastructure approach out there, AWS’s AgentCore, Nova Act, and Strands stand out because they remove the traditional friction points of enterprise AI deployment. With these tools, we can move from a working prototype to a fully governed, production-scale AI system in weeks, not months, without compromising security or performance," says Prashanna Rao, Head of Engineering, GoML.
AWS enterprise generative AI tools: Nova Act SDK for browser-based AI
Amazon Nova Act is a new AI model trained to perform actions autonomously within a web browser, such as clicking elements, selecting dropdowns, searching, and answering questions about the screen. With the Amazon Nova Act SDK, available as a research preview, you can build reliable agents
Beyond traditional RPA: intelligent web automation
While traditional Robotic Process Automation (RPA) tools rely on brittle, rule-based approaches, Nova Act represents a paradigm shift toward intelligent automation:
AI-native browser control
Nova Act is an early research preview of an SDK + model for building agents designed to reliably take actions in web browsers. Building with the SDK enables developers to break down complex workflows into smaller, reliable, commands, add more detail where needed, call APIs, and intersperse
Real-world enterprise applications
Using this SDK, developers can build agents that can complete tasks in a web browser (e.g., submit an out of office request in internal system, put a calendar hold to show you will be out of office, and put up an 'away from office' email).
Production-ready capabilities
In early 2025, we introduced the Amazon Nova Act SDK as a research preview to help developers build agents that reliably complete tasks in a web browser. Now, we are excited to work with customers to take their agents to production in a limited preview, using new AWS integrations
Key advantages
- Atomic commands: Reliable, composable actions that work across different web interfaces
- Context awareness: Understanding of web page structure and user intent
- Error handling: Built-in retry logic and failure recovery
- Integration ready: Seamless connection with existing AWS services
AWS enterprise generative AI tools: Strands SDK for enterprise agent needs
Strands Agents is an open-source SDK that takes a model-driven approach to building and running AI agents in just a few lines of code. Strands scales from simple to complex agent use cases and from local development to deployment in production, making it a versatile part of AWS enterprise generative AI tools.
The open-source advantage
The Strands SDK represents AWS's commitment to open innovation while maintaining enterprise-grade capabilities.
Model-driven development
- Simplified agent creation: Build sophisticated agents with minimal code
- Framework flexibility: Work with any foundation model or AI framework
- Community driven: Benefit from collective innovation and rapid feature development
Seamless scaling
It allows developers to build AI agents capable of performing complex tasks by breaking them into smaller, more manageable steps. The SDK supports additional customization through Python code, enabling developers to interleave tests, breakpoints, assertions, and thread pooling for parallelization.
The power of choice: OpenAI models join the AWS ecosystem
AWS's commitment to model diversity reached a new milestone with the recent availability of OpenAI's open-weight models gpt-oss-120b and gpt-oss-20b on the platform. This development reinforces a key principle: enterprises shouldn't have to choose between cutting-edge AI capabilities and robust infrastructure, especially when they have access to AWS enterprise generative AI tools.
Framework-agnostic AI development
The addition of OpenAI models to AWS's ecosystem perfectly complements the tools we've discussed. Organizations can now:
- Use OpenAI models within Bedrock AgentCore deployments for specialized agent tasks
- Leverage familiar OpenAI interfaces through the Strands SDK for rapid development
- Combine multiple model providers in Nova Act workflows for enhanced web automation
Enterprise benefits without compromise
Running OpenAI models on AWS infrastructure means enterprises maintain data sovereignty while accessing advanced AI capabilities. This is particularly valuable for regulated industries where data residency and custom security policies are non-negotiable.
The convergence of Bedrock AgentCore, Nova Act SDK, and Strands SDK represents a paradigm shift toward AI-native enterprise architecture. Organizations adopting this comprehensive platform gain measurable competitive advantages through accelerated development cycles and reduced operational overhead, thanks to AWS enterprise generative AI tools.
Why AWS enterprise generative AI tools must be your default?
1. Comprehensive AI stack
Unlike point solutions, AWS provides an end-to-end platform covering every aspect of AI development, deployment, and operations.
2. Enterprise security by design
Built-in compliance, encryption, and access controls eliminate the need for custom security implementations.
3. Unlimited scale without complexity
Amazon EKS enables ultra-scale AI/ML workloads with support for 100k nodes per cluster, Amazon EKS now supports up to 100,000 worker nodes in a single cluster, enabling customers to scale up to 1.6 million AWS Trainium accelerators or 800K NVIDIA GPUs.
4. Cost-effective innovation
AgentCore uses entirely consumption-based pricing with no upfront commitments or minimum fees. The service is free to try until September 16, 2025, allowing organizations to experiment without financial risk.
5. Future-proof architecture
AWS's continuous innovation ensures your AI investments remain current as technology evolves.
Strategic AI investment: the AWS advantage
The convergence of Bedrock AgentCore, Nova Act SDK, and Strands SDK is the very best AI-native enterprise architecture available for scaling AI. The AWS infrastructure is purpose-built for accelerating your development cycles and scaling with reduced operational overhead.
As generative AI becomes central to business operations, the infrastructure foundation will become your most critical layer. For battle-tested enterprise reliability, AWS is proven.
With AWS's integrated AI development platform, that transformation has never been more achievable.
Simple implementation roadmap to begin with AWS enterprise generative AI tools
If you are unfamiliar with the AWS ecosystem, we recommend working with an AWS AI partner. At GoML, we propose a simplified delivery framework that allows companies to pilot a high impact gen AI use case while experiencing the flexibility and performance of AWS enterprise generative AI tools.
4-Day Proof of Concept
Kick off with a full-day Gen AI discovery workshop with our AI leaders. In just 4 days, you get a comprehensive Gen AI roadmap and a working Proof of Concept for your highest-priority use case.
4-Week Pilot Development
Conduct a deep-dive into the selected use case, build a business case, and select the optimal Gen AI model. In 4 weeks, we deliver a fully built and tested Pilot ready for stakeholder review.
4-Month Enterprise Rollout
Establish Gen AI governance, security, and guardrails. In 4 months, your application is production-ready and positioned for enterprise-wide adoption.
Want to transform your AI initiatives from proof-of-concept to production impact?
GoML is a leading Gen AI development company that leverages AWS's comprehensive AI toolkit to deliver measurable business results. We help you implement AgentCore, Nova Act, and Strands solutions quicker, with enterprise-grade security, and at unlimited scale using AWS enterprise generative AI tools. Reach out to us today.
