Amazon Bedrock provides a unified platform for building agentic systems using top foundation models (Claude, Llama, Mistral, Nova). It enables agents to reason, plan, call tools, retrieve enterprise knowledge, and execute multi‑step workflows across AWS and business applications.

Designed for enterprise AI teams, solution architects, platform engineers, and business units needing governed access to high‑performance models for automation, decision support, and workflow execution.

Used when organizations require secure model access, agent orchestration, retrieval‑augmented workflows, or multi‑agent pipelines that integrate with existing AWS services and enterprise systems.

Bedrock reduces development complexity by providing a fully managed, secure, scalable foundation for agentic applications — accelerating delivery while maintaining governance, compliance, and reliability.

AWS Step Functions orchestrate complex agentic workflows, enabling multiple agents, services, and tools to collaborate through visual, event‑driven state machines.

Built for enterprise architects, automation engineers, DevOps teams, and developers managing cross‑system workflows, long‑running processes, or multi‑agent coordination.

Used when organizations need deterministic, auditable, fault‑tolerant orchestration across agents, microservices, serverless functions, and enterprise applications.

Step Functions provide reliability, observability, and structured control — ensuring agentic workflows run consistently at scale with built‑in retries, error handling, and monitoring.

AWS Lambda provides serverless compute that agents use to execute actions, run code, transform data, and interact with enterprise systems without provisioning infrastructure.

Designed for developers, automation teams, and architects building agentic systems that require lightweight, scalable, event‑driven execution.

Used when agents need to perform custom logic, call APIs, process data, or trigger downstream workflows as part of autonomous task execution.

Lambda enables fast, cost‑efficient, scalable execution of agent actions — reducing operational overhead and enabling flexible tool‑use within agentic workflows.

Amazon Kendra provides intelligent enterprise search that agents use to retrieve structured and unstructured knowledge from documents, intranets, knowledge bases, and business systems.

Ideal for knowledge‑heavy teams such as support, HR, legal, compliance, research, and operations — as well as developers building retrieval‑augmented agentic applications.

Used when agents need accurate, context‑aware retrieval to answer questions, generate documents, support decisions, or execute workflows based on enterprise knowledge.

Kendra improves accuracy and relevance of agentic reasoning by providing high‑quality retrieval, reducing time spent searching for information and improving decision‑making.s.

The AWS security stack — IAM, KMS, and CloudTrail — provides identity, encryption, and audit controls that govern agentic systems end‑to‑end.

Designed for CISOs, security architects, compliance teams, regulated industries, and enterprises requiring strict governance over autonomous AI operations.

Used when organizations need secure access control, encrypted data handling, audit logging, compliance enforcement, or traceability for agentic workflows.

The AWS security stack ensures agents operate safely, transparently, and compliantly — providing enterprise‑grade governance that meets regulatory, operational, and security requirements.

Amazon AgentCore provides a secure, isolated execution environment for autonomous agents. It enables agents to reason, plan, call tools, browse, run code, and complete multi‑step workflows using micro‑VM isolation and enterprise governance.

Built for enterprise architects, platform engineering teams, operations leaders, analysts, and developers who need agents capable of performing real tasks — such as research, data processing, system updates, and cross‑application automation.

Used when organizations require agents to execute actions safely and reliably — including API calls, workflow coordination, long‑running tasks, browser automation, or tool‑use that interacts with business systems.

AgentCore reduces complexity and risk by providing a governed, secure runtime for autonomous agents, ensuring reliability, auditability, and safe execution of real‑world tasks at enterprise scale.

Amazon Q enables enterprises to shift from passive AI assistance to active execution. Q can retrieve information, generate documents, analyze data, coordinate across AWS and business apps, and complete multi‑step workflows with governed autonomy.

Designed for professionals managing recurring, cross‑system processes — including project managers, analysts, HR specialists, operations teams, finance leaders, customer service managers, and executives who rely on consistent, repeatable workflows.

Used when teams need automated follow‑ups, document creation, reporting cycles, knowledge retrieval, scheduling, or coordination across multiple tools and systems without manual effort.

Amazon Q reduces operational load by acting on behalf of users, improving speed, consistency, and accuracy across daily workflows while maintaining enterprise‑grade governance and security.