Overview
Agentic AI refers to systems where large language models go beyond answering prompts — they plan multi-step tasks, call tools and APIs, browse the web, execute code, and coordinate with other agents to achieve goals autonomously. Unlike a chatbot, an AI agent maintains state, reasons about what to do next, and takes action in the real world. AWS provides Amazon Bedrock AgentCore as the production runtime for these agents, with built-in identity, memory, observability, gateways, and a code interpreter sandbox.
Key concepts
- Reasoning loops (ReAct, Plan-and-Execute, Reflection patterns)
- Tool use and function calling — letting an LLM invoke external APIs
- Multi-agent orchestration — supervisor agents that delegate to specialist agents
- Memory: short-term scratch memory and long-term persistent memory
- Guardrails, evaluation, and observability for non-deterministic systems
- Identity and authorization — agents acting on behalf of users
Key AWS services
- Amazon Bedrock AgentCore
- Amazon Bedrock Agents
- Strands Agents SDK
- AWS Step Functions
- Amazon Q
Learn more — curated resources
Hand-picked official docs, foundational papers, and the best community guides for going deeper on this topic.
Sessions on this topic
75 sessions from the Summit covered this topic. Each is a self-contained mini-lesson.
- PRT202-SIntermediate
5 Steps to Enterprise-Grade AI Security for Amazon Bedrock Projects
This session demonstrates how quickly and easily enterprise-grade AI security can be applied to your Amazon Bedrock projects. See the new Prisma AIRS AI-security platform in action on AWS: We explore Model Scanning and AI Posture Management; then dive into Runtime Security; and finally examine automated AI Red Teaming and AI Agent Security. Unlock your AI-led innovation - securely.
- AIM201Intermediate
From demo to deployment: solving agentic AI's toughest challenges
Most AI agent projects stall when moving from prototype to production. This session tackles the top challenges builders face when deploying agentic AI at scale. You'll learn how to answer the fundamental question of whether to build custom agents or leverage pre-built agents for DevOps, security, development, and business productivity use cases. Then you'll discover how to address the critical production challenges of reliability, observability, cost management, security, and evaluation. Drawing from real customer deployments and AWS's portfolio of agentic AI capabilities, you'll gain actionable approaches for building agents that don't just demo well but ship and scale.
- ANT301Advanced
A practitioners guide to data for agentic AI
In this session, gain the skills needed to deploy end-to-end agentic AI applications using your most valuable data. This session focuses on data management using processes like Model Context Protocol (MCP) and Retrieval Augmented Generation (RAG), and provides concepts that apply to other methods of customizing agentic AI applications. Discover best practice architectures using AWS database services like Amazon Aurora and OpenSearch Service, along with analytical, data processing and streaming experiences found in SageMaker Unified Studio. Learn data lake, governance, and data quality concepts and how Amazon Bedrock AgentCore and Bedrock Knowledge Bases, and other features tie solution components together.
- ARC301Advanced
Build an AI-ready data foundation
An unparalleled level of interest in generative AI and agentic AI is driving organizations to rethink their data strategy. While there is a need for data foundation constructs such as data pipelines, data architectures, data stores and data governance to evolve, there are business elements that need to stay constant like cost-efficiency and effectively collaborating across data estates. In this session we will cover how building your data foundation on AWS provides the tools and the building blocks to balance both needs, and empower organizations to grow their data strategy for building AI-ready applications.
- MAM302Advanced
Agentic AI for VMware migrations with AWS Transform for VMware
Accelerate your VMware migration journey with AWS Transform, the first agentic AI service for large-scale VMware workload migrations to Amazon EC2. Discover how to migrate from on-premises VMware infrastructure to a modernized, cloud-native architecture while overcoming challenges like evolving licensing models and vendor lock-in. Meet the team behind AWS Transform and see a live demonstration showcasing automated application discovery, dependency mapping, network translation, wave planning, and server migration with optimized EC2 instance selection. Learn practical approaches to streamline large-scale migrations and modernize VMware workloads to AWS with greater speed and confidence.
- MAM306Advanced
Adding Agentic AI to legacy apps with Amazon Bedrock AgentCore
In this code-first session, we demonstrate how to add agentic AI capabilities and augment a legacy application using Amazon Bedrock AgentCore and the Amazon Strands Agents SDK. We will explore how to build AI-powered features for a legacy application without modifying the existing backend code. We will showcase how to leverage existing APIs and Lambda functions as the backbone for your agentic AI experience. You'll learn how to execute code in isolated sandbox environments, ensuring security while accessing internal data sources with Amazon Bedrock AgentCore Code Interpreter.
- ISV302Advanced
Architecting Scalable AI Agents using Amazon Bedrock AgentCore
Discover how to build powerful AI agents using Amazon Bedrock's suite of tools, with a focus on Amazon Bedrock AgentCore. This session explores how Parrot Analytics leveraged the modular components of Amazon Bedrock AgentCore and Amazon Nova foundational models to achieve 10x the processing speed of manual classification across 2M+ entities. We will dive into prompt and context engineering, knowledge bases, and observability for production agentic workloads.
- AIM302Advanced
Agentic AI Meets Responsible AI - Science, Strategy and Practice
AI agents offer powerful capabilities — and introduce fundamentally new risks that require more than traditional controls. This session explores responsible agentic AI through three lenses: the science, the framework, and a real-world customer story. Understand the scientific frontiers that make agents different — from emergent behaviour and agent-to-agent trust to the challenges of governing systems that plan, negotiate, and act autonomously. Learn the four areas of the AWS Responsible AI framework where agents change the rules, and hear how one of Australia's leading health insurer is putting responsible AI into practice — from strategy to governance to real-world trade-offs.
- ARC305Advanced
Transforming from SaaS to multi-tenant agentic SaaS
Existing SaaS providers must determine how and where agents best fit into their offerings. Getting there requires organizations to transform existing IP and functionality into agent-powered experiences. This breakout will dig into the details of this transformation, examining the patterns, strategies, and techniques that can be used to introduce agents into an existing multi-tenant system. Well focus heavily on identifying the target agents, digging into how/where theyre built and introduced, how theyre integrated, and so on. Well also dig into how multi-tenancy lands in new agents, integrating with MCP servers, using RAG, applying tenant isolation, supporting onboarding, and on on.
- COP301Advanced
Elevating your Agentic AI Observability
Gain deep visibility into the performance and reliability of autonomous agents with Amazon CloudWatch. This session showcases how CloudWatch delivers endtoend observability for agentic AI workloadstracking decision quality, token efficiency, and workflow execution at scale. Explore prebuilt dashboards and advanced metrics that help you optimize agent performance, control operational costs, and maintain consistent behavior across complex intelligent systems. Walk away ready to implement productiongrade observability that ensures your AI agents operate reliably, make optimal decisions, and deliver measurable outcomes at scale.
- DVT201Intermediate
Building Software like never before with agentic AI
Discover the future of software development as we explore the transformative power of agents with Kiros spec-driven development in modernizing your entire software development lifecycle (SDLC). Agentic AI is impacting software development by automating tasks, improving efficiency, and enabling more autonomous workflows throughout the development lifecycle. It allows teams to go beyond simple code generation to handle project planning, designing, testing, documentation, building agents into workflows, and retiring technical debt. Join us to explore how these powerful capabilities work together to help organizations accelerate from prototype to production ready applications.
- MAM301Advanced
From tech debt to competitive advantage: Migrate & modernize with AWS
Your legacy applications and infrastructure don't have to be a liability. In this session, discover how leading enterprises are converting tech debt into modern cloud advantages that unlock AI capabilities, cut costs, and accelerate innovation. The path to AI starts with migration and modernization. We'll walk through the complete transformation journey: infrastructure, applications, data, and AI-ready business outcomes. You'll see how new agentic AI automation is making migration and modernization faster, simpler, and more cost-effective. We'll explore proven pathways for your most critical workloads (Microsoft, VMware, SAP, and mainframe), backed by 20 years of AWS expertise.
- MAM303Advanced
Digital transformation excellence using agentic AI
Discover how customers are leveraging AWS AI-driven solutions to accelerate their cloud transformation journey, moving beyond traditional migration and modernization to achieve digital transformation excellence. This session showcases real-world experiences where organizations have integrated AI-powered accelerators with AWS cloud services to achieve 3x faster migration timelines and drive unprecedented business value. Learn actionable strategies and see demonstrations of how a large transformation project can become a digital enterprise enabler for your organization,
- DEV205Intermediate
Securing Amazon Bedrock AgentCore: A Practical Framework
Explore a practical framework to think about and build secure AI agents on Amazon Bedrock AgentCore. This session covers threat modeling specific to agentic workloads, including how agents interact with tools, memory, and external systems, and what you need to watch out for. You'll learn how to apply AWS security best practices across AgentCore services, and walk away with actionable patterns. Suitable for developers and architects building AI agents who want to move from prototype to production with confidence.
- GHJ301Advanced
R1 — AWS Game Day : Secret Agent Unicorns
AWS Game Day : Secret Agent UnicornsAWS GameDay is a gamified learning event that challenges participants to use AWS solutions to solve real-world technical problems in a risk-free setting. As a new hire at Unicorn.Rentals, the worlds largest mythical creature rental company, youll test your AWS knowledge in an interactive, team-based, risk-free environment! The Secret Agentic Unicorns GameDay covers the different components of AgentCore, guiding participants through agent creating using Strands, A2A, and other AgentCore technologies. Youll get real world experience creating and learning about AgentCore agents, and have fun along the way.
- DEV313Advanced
From Timeout to Throughput: Scaling Resilient Agentic Systems
Moving an AI agent from prototype to production requires more than optimism. This session tackles the "Day 2" engineering challenges of scaling resilient agentic architectures on AWS. Learn practical patterns for handling traffic spikes, optimizing throughput, and controlling costs using Amazon Bedrock models and AgentCore Runtime. We'll cover tool filtering strategies, when multi-agent architectures make sense, how to apply evaluations effectively, and how to harden your APIs against real-world load. Leave with concrete techniques to transform brittle GenAI prototypes into production-grade systems that survive viral launches and demanding enterprise workloads.
- STP210Intermediate
TeamForm's Generative Dashboards with Strands & Bedrock AgentCore
Most teams are still piloting AI - TeamForm is shipping it. In this session, we show how we built enterprise and production-ready generative dashboards in weeks on AWS Bedrock and AgentCore, and how an AI-native operating model made that velocity possible. Learn what it actually takes to operationalise AI across product and engineering, not just prototype it.
- PRT102-SFoundational
Efficiency to Innovation: How Agentic AI Unlocks New Business Models
This joint discussion explores how organizations are moving from simplistic operational AI to agentic AI that drives innovation and new revenue. Through industry use cases and platform strategies, it shows how AI-enabled systems are disrupting markets and reshaping competitive advantage, with practical guidance for growth.
- PRT201-SIntermediate
Postman and the Future of AI-Driven API Development in 2026
Software development has fundamentally changed in 2026, driven by vibe coding, AI agents, and RAG/MCP. APIs are the interface layer for AI systems to perform meaningful work. For this to succeed, your APIs must be discoverable, consistent, and usable by both developers and agents. Postman is now central to designing, managing, and iterating on your APIs to be sustainable in this new era.
- PRT216-SIntermediate
Postman and the Future of AI-Driven API Development in 2026
Postman and the Future of AI-Driven API Development in 2026 (sponsored by Postman, Inc)Software development has fundamentally changed in 2026, driven by vibe coding, AI agents, and RAG/MCP. APIs are the interface layer for AI systems to perform meaningful work. For this to succeed, your APIs must be discoverable, consistent, and usable by both developers and agents. Postman is now central to designing, managing, and iterating on your APIs to be sustainable in this new era.
- PRT217-SIntermediate
Your Agents Should Be Durable
Your Agents Should Be Durable (sponsored by Temporal)Building AI agents is easy — making them production-ready is hard. Crashes, API failures, and state management are just a few challenges when moving from PoC to production. Learn how durable execution with Temporal makes it simple to build reliable agents that run for days, weeks, or months, using a code-first approach developers love.
- AIM204Intermediate
Get to know Amazon Quick, your new agentic teammate
Most of us spend more time hunting for information than using it. Amazon Quick changes that. It reaches across all your company's data — documents, databases, emails, Slack threads, dashboards, Jira tickets — and lets you search it, ask questions, and take action, all from one place. Available across web, mobile, Slack, and Microsoft tools with multi-model intelligence, Quick delivers consumer-grade AI with enterprise-grade security and governance. No vendor lock-in, no siloed copilots. Just one AI teammate that works wherever you do.
- DEV211Intermediate
Evolution of Automation: Orchestration to Intent-Based Supervision
Automation has long relied on orchestration: predefined workflows, rigid control flows, and human-managed exceptions. That model breaks down as systems become adaptive, distributed, and autonomous. In this session, we explore the shift from orchestration to intent-based supervision, where humans define purpose, constraints, and authority, while agents decide how to act within those bounds. Drawing on real-world agentic architectures, the talk shows how dynamic discovery, semantic negotiation, and closed-loop feedback replace static workflows. Attendees will learn how to design automation that scales safely, remains governable, and adapts as context changes, without removing human judgment from the system.
- DEV301Advanced
Evolution of Automation: Orchestration to Intent-Based Supervision
Evolution of Automation: Orchestration to Intent-Based SupervisionAutomation has long relied on orchestration: predefined workflows, rigid control flows, and human-managed exceptions. That model breaks down as systems become adaptive, distributed, and autonomous. In this session, we explore the shift from orchestration to intent-based supervision, where humans define purpose, constraints, and authority, while agents decide how to act within those bounds. Drawing on real-world agentic architectures, the talk shows how dynamic discovery, semantic negotiation, and closed-loop feedback replace static workflows. Attendees will learn how to design automation that scales safely, remains governable, and adapts as context changes, without removing human judgment from the system.
- DEV304Advanced
Building Agentic AI: Amazon Nova Act and Strands Agents in Practice
Explore practical applications of Agentic AI through two real-world case studies. First, dive into a Hong Kong weather agent built with Amazon Nova Act, featuring conversation flow design and meteorological data integration. Watch a live demo showcasing natural language interaction for weather information retrieval and trend analysis. Next, discover a mathematics teaching AI agent developed using the Strands Agents framework, demonstrating personalized math video creation through automatic content generation. Both cases include comprehensive code demonstrations, providing developers with concrete references for AI agent application development on AWS.
- MAM307Advanced
Modernise legacy code using fine-tuned Gen AI models
Rio Tintos data science team saw an opportunity to preserve institutional knowledge and improve developer productivity by modernizing a legacy codebase. Rather than attempting a full system overhaul, the team focused first on adding generative AI capabilities to their critical legacy application. By using the proven, open, and trusted data foundation of AWS, the company laid the groundwork for incremental modernization without disrupting core operations. Learn about model fine tuning against legacy codebases, Amazon Nova, SageMaker Jumpstart and AgentCore in this deep dive with AWS & Rio Tinto
- PRT101-SFoundational
Accelerating Innovation with GitLab DAP Powered by Amazon Bedrock
Learn how GitLab Duo Agent Platform (DAP) powered by Amazon Bedrock brings agentic AI into every stage of the software development lifecycle while keeping data, logs, and inference traffic inside your AWS environment. We'll show how teams can orchestrate AI-assisted workflows for planning, coding, security, and compliance using Amazon Bedrock foundation models behind GitLab's AI Gateway.
- PRT203-SIntermediate
Design, Deploy, and Govern AI Agents with Boomis Agentstudio 5 Steps to Enterprise-Grade AI Security for Amazon Bedrock Projects
Transform enterprise automation with Boomi's AI agent ecosystem. Learn to use Agent Designer to visually build agents that connect across systems, and Agent Control Tower for centralised governance, compliance, and performance monitoring. Securely orchestrate your AI lifecycle at scale with Amazon Bedrock.
- SEC305Advanced
Advanced AI Security: Architecting Defense-in-Depth for AI Workloads
Dive deep into advanced security architectures for AI workloads, exploring how to protect your workload against sophisticated attack vectors. Through technical examples, we'll implement secure architectures for AI workloads, covering identity, fine-grained access policies, and secure foundation model deployment patterns. Learn how to harden generative and agentic AI applications using AWS security capabilities, implementing least-privilege controls, and building secure architectures at scale.
- TNC202Intermediate
Accelerate Your Cloud Journey with AWS Transform
Embark on a faster, smoother cloud transformation with agentic AI and integrated solutions. This session reveals how AWS Transform accelerates your cloud journey, addressing migration and modernization challenges through intelligent automation. Through real-world examples, discover how to leverage this powerful integration to fast-track your cloud adoption and transformation efforts. With the specialized AI agents of AWS Transform, customers can migrate VMware workloads to Amazon EC2, modernize .NET applications to cross-platform .NET, and modernize IBM z/OS mainframe applications, delivering transformation projects up to 4x faster.
- DEV312Advanced
Strands Agents on Lambda: Observability With Powertools & X-Ray
When a Strands Agent fails across five Lambda log streams with no correlation, debugging takes 20 minutes minimum. This session demonstrates a structured observability layer that reduces diagnosis to under two minutes. You'll learn how Lambda Powertools Tracer wraps Strands tool invocations as X-Ray subsegments, how Powertools Logger injects AgentCore session correlation IDs across invocations, and how Powertools Metrics surfaces tool retry frequency as CloudWatch alarms — before timeouts occur. The session covers three production failure classes — tool timeout, reasoning loop, and retry storm — and delivers a reusable CDK construct providing full instrumentation for any Strands Agent Lambda deployment.
- STP211Intermediate
Authenticating AI Agents: How Kinde Navigates Agentic Identity
AI agents are no longer just answering questions - they're booking flights, managing infrastructure, and calling APIs on our behalf. But when an agent acts autonomously, who's really knocking on the door This talk explores how Kinde is rethinking authentication and authorisation for a world where your users aren't always human, covering machine-to-machine identity, delegated scopes, and why traditional auth flows break down when agents enter the chat.
- AIM203Intermediate
Prompt Engineering to Learning Systems: Woodside's Agentic Ecosystem
Woodsides Agentic Maintenance Framework connects frontline execution to longhorizon strategy, turning each job into fuel for continuous improvement. The approach uses governed evidence and multiagent AI to assemble the right context at the decision pointimproving request quality, planning accuracy, and execution readinesswhile capturing planvsactual signals that strengthen backlog quality, scheduling confidence, and longterm maintenance strategies. The result is a closed loop where execution improves strategy, and strategy improves execution, all within existing governance and systems of record. In this talk, well share practical lessons from designing the tactical layer (Maint Assist) and the strategic layer (Maint Intel), show how evidence is created once and reused across the lifecycle, and outline a maturity path from prompts to agentic orchestrationfocused on safety, reliability, and efficiency.
- ARC304Advanced
Demystifying Agent Identity
Confused by inbound vs. outbound authentication for agents You're not alone. This Level 300 session demystifies OAuth flows and agent identity patterns through the lens of a practitioner's learning journey. Explore the differences between SPA (single-page web app) and agent authentication, then dive into AgentCore's inbound/outbound auth with Runtime and Gateway. Through live code demonstrations of 3-legged OAuth flows, you'll see exactly how agents authorize actions on behalf of users. Leave with working code examples from aws-samples and practical implementation insights to accelerate your agent development. Part of the AgentCore session track.
- DEV305Advanced
Agents in the enterprise: Best practices with Amazon Bedrock AgentCore
As organizations scale AI agent development, robust enterprise architecture patterns become essential. In this advanced session, we'll explore how Amazon Bedrock AgentCore enables teams to build modular systems using their preferred frameworks while sharing tools through MCP gateways. Learn about A2A collaboration, shared memory, identity-based access controls, and integrated observability. Discover practical strategies for secure runtime deployment, standardized tool integration, evaluation frameworks, and end-to-end monitoring. Leave with actionable insights to build secure, scalable agent infrastructures that balance centralized governance with team autonomy.
- DEV401Expert
Build Intelligent Memory Systems for AI Agents
Explore how to build production-grade AI agents with persistent, context-aware memory using Amazon Bedrock AgentCore. This expert session covers architectural patterns for implementing four memory typesepisodic, semantic, preference, and summaryenabling agents that recall past interactions, recognize cross-session patterns, and maintain conversation context. You'll examine real implementation techniques for long-term memory management, workflow orchestration, and retrieval strategies using Amazon Bedrock. Leave with practical skills to design intelligent agents that deliver faster, more accurate responses in high-stakes applications. Ideal for architects and engineers ready to move beyond stateless AI toward genuinely intelligent, memory-enabled systems.
- GHJ301Advanced
R2 — AWS Game Day : Secret Agent Unicorns
AWS Game Day : Secret Agent UnicornsAWS GameDay is a gamified learning event that challenges participants to use AWS solutions to solve real-world technical problems in a risk-free setting. As a new hire at Unicorn.Rentals, the worlds largest mythical creature rental company, youll test your AWS knowledge in an interactive, team-based, risk-free environment! The Secret Agentic Unicorns GameDay covers the different components of AgentCore, guiding participants through agent creating using Strands, A2A, and other AgentCore technologies. Youll get real world experience creating and learning about AgentCore agents, and have fun along the way.
- TNC201Intermediate
Explore the Agentic Capabilities of Amazon Quick Suite
Discover the latest features of Amazon Quick Suite, a generative AI-powered business intelligence platform transforming organizational data workflows. Explore the newest capabilities including Quick Sight for interactive visualizations, Quick Flows for workflow creation, Quick Automate for intelligent automation, and Quick Research for comprehensive analysis. Learn how custom chat agents, knowledge spaces, and workplace extensions integrate seamlessly to enhance productivity through natural language interactions across your organization.
- DEV209Intermediate
CI/CD Guardrails for Agentic Coding Workflows
AI coding agents introduce failure modes traditional CI/CD pipelines weren't built to catch — deleted tests, weakened type constraints, silent cross-service regressions. This session examines practical pipeline-level guardrails for agentic workflows running on ECS Fargate and distributed CI environments. You'll learn which failure patterns agents introduce that humans rarely do, which automated checks reliably catch them, and how to structure pipelines that apply appropriate scrutiny to agent-generated code without blocking developer velocity. Leave with concrete, implementable patterns covering test integrity enforcement, type safety validation, and cross-service regression detection — applicable whether you're managing one agent or coordinating many across multiple repositories.
- ISV304Advanced
Managing AI Agents with Confidence and Control using Kasada & AWS
AI agents are powerful but riskythey can access sensitive data, trigger workflows, and make autonomous decisions. Kasada and AWS are helping enterprises adopt agents with confidence through comprehensive AI agent trust management that protects legitimate AI agents while detecting and blocking malicious automated visits. Kasada's platform, integrated with AWS services, enables organizations to distinguish trusted agent traffic from sophisticated bot threats, monitor for anomalous behavior, and maintain agent integrity against evolving AI-powered attacks. Join Kasada and AWS experts to explore a practical framework for managing agent trust: how AI and agentic traffic are being abused today, where risks appear across discovery and checkout, how teams decide when to allow or block agents, what new protocols like Web Bot Auth do and where they fall short, and what Kasada has built for agent traffic visibilityall while maintaining seamless customer experience.
- INO201Intermediate
Build and scale AI: from reliable agents to transformative systems
Many teams move fast with agentic AI prototypes that impress in demos but stall in productionblocked by gaps in reliability, accuracy, and safety. In this session, AWS agentic AI technical leaders will help builders rethink how to build and scale production-grade, trustworthy agentic AI. Learn proven patterns to build and deploy agents that earn trust in the real world. See AWS agentic AI platform Amazon Bedrock AgentCore in action. Discover how AWS customers move fast from sparks of experiment to scaled AI-driven innovation with trust at the core, transforming industries.
- SEC401Expert
Advanced AI Security: Architecting Defense-in-Depth for AI Workloads
Dive deep into advanced security architectures for AI workloads, exploring how to protect your workload against sophisticated attack vectors. Through technical examples, we'll implement secure architectures for AI workloads, covering identity, fine-grained access policies, and secure foundation model deployment patterns. Learn how to harden generative and agentic AI applications using AWS security capabilities, implementing least-privilege controls, and building secure architectures at scale.
- DAT301Advanced
Powering your Agentic AI experience with AWS Streaming and Messaging
Powering your Agentic AI experience with AWS Streaming and MessagingOrganizations are accelerating innovation with generative AI and agentic AI use cases. This session explores how AWS streaming and messaging services such as Amazon Managed Streaming for Apache Kafka, Kinesis Data Streams, Amazon Managed Service for Apache Flink, and Amazon SQS build intelligent, responsive applications. Discover how streaming supports real-time data ingestion and processing, while messaging ensures reliable coordination between AI agents, orchestrates workflows, and delivers critical information at scale. Learn architectural patterns that highlight how a unified approach acts on data as fast as needed, providing the reliability and scale to grow for your next generation of AI.
- MAM304Advanced
Modernize SQL Server & .NET Together with AWS Transform's New AI Agent
Want to cut your Microsoft licensing costs by up to 70% while modernizing SQL Server workloads Join us to explore AWS Transform's groundbreaking
- MAM305Advanced
Legacy App modernization and reverse engineering using Kiro
This session demonstrates how agentic AI systems revolutionize legacy application modernization through intelligent reverse engineering workflows. We showcase a multi-agent architecture that autonomously analyzes legacy codebases, generates comprehensive business specifications, and rebuilds cloud-native applications while preserving critical business logic. Our agentic framework orchestrates specialized AI agentsAnalyzer, Generator, Evaluator, and Refinerworking collaboratively to extract institutional knowledge from decades-old systems and validate modernized applications against original code. Drawing from real-world enterprise implementations including Commonwealth Bank of Australia's transformation, we present practical patterns for deploying autonomous AI agents that achieve 70% efficiency gains in modernization cycles.
- AIM101Foundational
AI League Championship | 14-May | 08:00 - 16:00
Experience the ultimate AI showdown from your theater seat as finalists from the AWS AI League: Agentic AI challenge battle head-to-head in real-time. Watch top performers compete in a live, tournament-style competition where their AI agents navigate complex challenges, demonstrating the power of intelligent automation and decision-making under pressure. This electrifying viewing experience offers AI practitioners and enthusiasts unique insights into orchestrating intelligent agents using Amazon Bedrock AgentCore. See firsthand how agents handle real-world scenarios including code execution, web browsing, content moderation, and multi-step problem solvingall while competing for championship glory. The 1st place winner will represent Australia at the 2026 AWS AI League Championship at re:Invent 2026.
- AIM403Expert
AI League
Building intelligent AI Agents with Amazon Bedrock AgentCore Dive into the future of Al in this competitive workshop where you'll create intelligent agents using Amazon Bedrock AgentCore. Using our no-code Ul interface and generative AI you will develop agents and agentic tools that tackle real-world technical challenges. Experience hands-on learning through dynamic gameplay with live leaderboards while mastering prompt engineering, safety guardrails, tool creation, and performance optimization. Whether you are an avid Al developer or an architect eager to gain practical experience with production-grade agentic Al, this session will give you a new hands-on experience.
- FSI206Intermediate
Agentic AI Transforming Quality at Cloud Speed
Agentic AI Transforming Quality at Cloud SpeedFinancial services cloud transformations unlock tremendous opportunity - and quality assurance is the catalyst. The Quality Validation Agent Framework deploys specialised AI agents across the delivery lifecycle, collaborating through the AgentCore Runtime Platform to continuously monitor, validate, and accelerate work in real-time. Covering Assessment, Transformation, Testing, and Deployment Intelligence, these autonomous agents shift FSI organisations from reactive checkpoints to proactive validation - eliminating rework, detecting defects early, and achieving AWS Well-Architected compliance with confidence. Come and join us to discover how agentic AI turns quality assurance into your fastest path to production in banking and financial services!
- TNC203Intermediate
Structured Approach to AI coding with Spec-Driven Development on Kiro
This session demonstrates how Kiro brings discipline and clarity to AI-assisted software development, ensuring generated code aligns with intended functionality and architecture. Explore Kiro's innovative spec-driven development approach for AI coding. Learn how to leverage structured specifications as a single source of truth, contrasting with unstructured 'vibe coding'. Discover how Kiro uses AI to generate detailed requirements, design, and task documents, guiding AI agents in code creation. Experience a workflow that enhances collaboration, maintainability, and documentation accuracy.
- FSI207Intermediate
From enterprise data mesh to AI with Amazon SageMaker Unified Studio
From enterprise data mesh to AI with Amazon SageMaker Unified StudioFinancial institutions are unlocking enormous value with AI agents — from personalised customer experiences to better risk decision making. But to deliver on that promise, agents need data they can find, understand, and trust. This session shows how a data mesh architecture on Amazon SageMaker Unified Studio builds that foundation: discoverable data across lines of business, business context that grounds agent responses in real meaning, quality signals that build confidence in every answer, and governed access that keeps you compliant by design. We cover domain ownership, multi-account strategies, data contracts, business glossaries, data quality, and cross-domain governance — and demonstrate how this foundation empowers agentic AI that delivers trusted, accurate results at enterprise scale.
- DEV306Advanced
Taming Legacy Code: Multi-Agent AI in Brownfield Systems
Real engineering happens in legacy codebases, not blank canvases. This session explores deploying multi-agent AI workflows using Kiro against brownfield production systems with tangled dependencies and accumulated technical debt. Learn how to orchestrate specialised agents for system mapping, dependency navigation, code generation, and validation within complex existing architectures. We'll examine practical strategies for providing sufficient context to agents, implementing guardrails to prevent regressions, and coordinating multiple agents toward shared goals. Walk away with actionable techniques for applying agentic AI to real-world codebases, understanding where automation delivers value and where human judgment remains irreplaceable.
- ISV211Intermediate
Scaling Conversation Intelligence with Agentic AI on AWS
Businesses capture millions of conversations daily, sales calls, support interactions and compliance discussions, yet most of this intelligence remains locked away. Standard dashboards and predefined reports cannot address every customer's unique questions. Dubber, a world leader in conversation capture and intelligence, built Insight Agent on AWS, enabling users to ask bespoke, natural language questions across conversations and structured data to receive context-aware answers in seconds. Learn how Dubber innovated from static dashboards to surfacing business value moments, and now to agentic AI that compresses time to value, making conversation intelligence accessible, scalable and viable.
- ISV209Intermediate
From dev tools to customer value: BGL's agentic AI journey
Australian fintech leader BGL demonstrates their systematic approach to scaling agentic AI. Starting with Claude Code on Amazon Bedrock for developer productivity, BGL built OpsGorilla, a Slack-integrated agent serving 200+ employees. BGL extended AI agents to customer-facing innovation. BGL's Roni AI autonomously drafts annual compliance work for Self-Managed Superannuation Funds, reducing accountants' workload from days to hours. Built on Claude Agent SDK and Amazon Bedrock AgentCore, BGL's implementation showcases practical architectural patterns for organizations scaling AI agents from developer tools through enterprise operations to customer solutions.
- STP209Intermediate
How Cartesian Turns AI Agents from SaaS Killer to SaaS Moat
The agents invasion into the software market is a fact of life now. Agents are changing how we are consuming software, services and information. But just like any technological inflection point, theres a redistribution of power with and SaaS platforms are struggling to find their centre of gravity in this new world. In this talk we will explore how, Cartesian is helping platforms lean in to their strategic assets like access to customers and privacy and find their moat in the agentic age by distributing and monetizing 3rd party agents.
- FSI204Intermediate
Agentic AI in Financial Services: Architectural Patterns That Work
Getting agentic AI right in financial services means balancing innovation with the realities of compliance, risk, and auditability. This session cuts through the hype — exploring proven architectural patterns from reactive agents to multi-agent topologies, and how FSI organisations are using them to transform customer experience and automate operations. Leave with actionable guidance on building the business case, avoiding enterprise-scale pitfalls, and putting well-architected agents into production.
- IND204Intermediate
How Transurban Transformed Customer Experience with AI Agents on AWS
Every month, Transurban handles 5.5 million customer interactions across its Linkt brand — and is reimagining every one of them. Built on Amazon Connect, Transurban's AI-powered customer service platform has evolved from simple chatbots to multi-turn conversational AI and personalised experiences that are already lifting bot containment and freeing agents for higher-value work. Join this session to hear how Transurban is aligning people, process, and AI to transform customer service, what's coming next with Amazon Connect Cases and Email, and the hard-won lessons from scaling AI in a complex enterprise.
- TNC301Advanced
Using Tools and Agents in Generative AI applications
Join us for an engaging session on AI Agents and Tools in AWS, where well explore how to build intelligent, autonomous systems using Amazon Bedrock and open-source frameworks. Learn about function calling, ReAct patterns, and AWSs comprehensive agent platforms. Well dive into practical demonstrations using Strands and CrewAI, and discover how to leverage protocols like MCP and A2A for seamless tool integration and agent collaboration. Perfect for developers looking to create production-ready AI solutions.
- ISV102Foundational
From documents to voice - building AI products on AWS
How Affinda leverages Amazon Bedrock (Claude), SageMaker, EKS & CloudFormation to deliver intelligent document processing at enterprise scale, cutting setup time and costs by 90% with 95%+ accuracy. This session will demonstrate how Affinda powers real-world AI product development from Affinda's Intelligfent Document Processing platform to Pathfindr's (acquired by Affinda) custom AI agents. The session will showcase the complete journey of building Honey Insurance's voice agent - Australia's first voice agent in financial services, and how the Affinda-AWS partnership enables rapid AI product development for Enterprises.
- STP212Intermediate
How Apate AI uses Amazon Bedrock and voice AI to catch scammers
Scams are a global epidemic costing businesses and consumers trillions. Apate AI turns the tables on fraudsters by deploying lifelike conversational AI agents, powered by Amazon Bedrock and speech models on Amazon SageMaker bidirectional streaming, that engage scammers in real time to detect, divert, disrupt, and decode their tactics. In this session, learn how Apate AI converts every scam interaction into actionable intelligence and how to build your own voice AI agents on AWS.
- IND301Advanced
Stockland Empowers People with a GenAI Assistant Built on AWS
Discover how Stockland, one of Australia's largest diversified property groups, built an intelligent AI assistant on AWS that puts enterprise knowledge at everyone's fingertips. This session explores a multi-agent system powered by Amazon Bedrock & Strands SDK and embedded in Microsoft Teams, that enables teams to streamline vendor management, automate routine tasks and accelerate decision-making. Learn how Stockland built intelligent workflows that transform procurement data into actionable insights, reducing manual effort while improving accuracy and compliance.
- MAE205Intermediate
AI at Speed of News: Unlocking Value from Media with Generative AI
For media and communications organizations, the ability to rapidly discover, repurpose, and distribute content across platforms directly impacts revenue and audience engagement. This session examines how Generative AI is transforming content operations through intelligent metadata extraction, semantic search, and automated workflow orchestration. Using a case study from a global media organization managing 13 petabytes of content growing at 3,000 hours daily, we'll explore practical implementations using Amazon OpenSearch for multimodal retrieval, Amazon Neptune for knowledge graphs, and agentic AI for content assembly. Learn how organizations are achieving faster time-to-market, improved content monetization, and enhanced audience experiences through AI-powered content discovery and recommendation systems
- STP207Intermediate
How RedOwl Built Real-Time Financial Governance and Control on AWS
How RedOwl Built Real-Time Financial Governance and Control on AWS: RedOwl is a real-time governance and control platform that enforces policy before a single dollar moves combining agentic AI and pre-transactional intelligence to give CFOs and finance leaders the control to turn finance into a proactive business enabler. This session unpacks the architecture behind that capability, giving technology leaders and practitioners a practical guide to deploying AI-powered financial governance that earns CFO trust and drives enterprise-wide impact.
- IND201Intermediate
Transforming software license efficiency - Human-centered AI on AWS
As Worley's software landscape expands, manual license governance struggles to keep pace with scale and complexity. While manual optimisation has delivered measurable results, a sustainable approach is needed to scale these outcomes. Software Intelligence Advisor (SIA) is Worley's agentic AI solution that enables optimal license decisions and empowers end users. Underpinned by AWS native data platforms, SIA combines deep usage intelligence with a conversational agent that meets users within existing collaboration tools. Through trusted, context-aware conversations, the agent validates usage patterns and encourages better behaviours — delivering scalable, human-centred optimisation and a pragmatic path to learning what agentic AI can deliver.
- INO101Foundational
From Zero to 270 AI Agents: how Lendi built Guardian
When Lendi Group launched Project Aurora on AWS, they bet big on a single super-agent with 270 tools. It floppedtechnically impressive but commercially useless. The agent couldn't sell. The breakthrough came from treating AI like a workforce: specialist agents with clear roles, sales logic embedded in the funnel, and relentless measurement. Engagement tripled. This talk shares the hard lessons from Lendi's 16-week sprint: why capability isn't outcome, why your best prompt engineer might be a 23-year-old closer, and how to architect agentic systems that actually convert.
- ISV104Foundational
hipages Journey Towards an Agentic Engineering Organisation
Discover how hipages, ANZ's leading online construction marketplace, redefined their software development lifecycle by embedding Claude Code on Amazon Bedrock into daily engineering workflows. Join this session to get practical insights into maximizing Claude Code on Bedrock, understanding the decision process behind selecting this solution, and learning how hipages is pioneering an AI-first strategy that's transforming operations across their entire business.
- STP216Intermediate
Building AI Agents: From Open-Source Frameworks to Production-Grade
AI agents are moving from demo to deployment. Startups across ANZ are building production-grade assistants using open-source orchestration frameworks, fine-tuned foundation models, and GPU-accelerated inference on AWS and NVIDIA infrastructure. This panel explores what it actually takes to ship agentic use casesfrom choosing the right models and frameworks to managing latency, cost, and reliability at scale. We'll hear from AirTree VC on where the investment thesis is heading, from NVIDIA on how accelerated compute is shaping the agent stack, and from Heidi Health building and scaling these systems in production. Whether it's vertical agents for healthcare, customer support, or code generation, we'll focus on what's working, what's hype, and where the real startup opportunities lie in the agent ecosystem.
- ISV214Intermediate
Grounding AI Agents: How to give your AI real-world data with MCP
Most AI agents fail not because of models, but because they cant access trusted external data. This session shows how InfoTrack used Model Context Protocol (MCP) to connect agents to authoritative data sources via a compliant and secured gateway.
- WPS302Advanced
Secure and Resilient Agentic AI for High-Assurance Environments
Autonomous AI systems that plan, decide, and act across workflows are transforming how organisations deliver mission-critical services. This session shares security-first architecture best practices for designing, deploying, and governing agentic AI in high-assurance environments, drawing from Australia's Information Security Manual (ISM) and AWS security frameworks. Discover practical patterns for architecting proactive, intelligent services while maintaining security, transparency, and operational resilience through defense-in-depth strategies and purpose-built AWS capabilities.
- STP202Intermediate
Stop Vibing, Start Shipping: How Startups Build with Kiro
Prompt-and-pray development doesn't scale. Learn how startup engineering teams are adopting Kiro's spec-driven, agentic approach to go from requirements to working code on AWS with real adoption patterns, pitfalls, and measurable productivity impact.
- INO202Intermediate
Build and scale AI: from reliable agents to transformative systems
Many teams move fast with agentic AI prototypes that impress in demos but stall in productionblocked by gaps in reliability, accuracy, and safety. In this session, AWS agentic AI technical leaders will help builders rethink how to build and scale production-grade, trustworthy agentic AI. Learn proven patterns to build and deploy agents that earn trust in the real world. See AWS agentic AI platform Amazon Bedrock AgentCore in action. Discover how AWS customers move fast from sparks of experiment to scaled AI-driven innovation with trust at the core, transforming industries.
- SMB203Intermediate
From Vision AI to Agentic AI: Real-Time Ops & Compliance in QSR
Fingermark's Eyecue platform turns drive-thru video feeds into real-time operational intelligence for some of the world's largest QSR brands. Using hybrid edge-cloud architecture on AWS, they track every customer journeycapturing precise timing at order points, windows, and bayswhile keeping sensitive data at the edge. Now they're taking the next leap: agentic AI powered by Amazon Bedrock AgentCore. Autonomous agents automatically answer compliance questions"Are there spills Are staff following food handling protocols"replacing manual audits with continuous monitoring. See how a Kiwi company scaled from local innovation to global impact, and from computer vision to autonomous agents.
- AIM304Advanced
Agentic AI Meets Responsible AI - Science, Strategy and Practice
AI agents offer powerful capabilities — and introduce fundamentally new risks that require more than traditional controls. This session explores responsible agentic AI through three lenses: the science, the framework, and a real-world customer story. Understand the scientific frontiers that make agents different — from emergent behaviour and agent-to-agent trust to the challenges of governing systems that plan, negotiate, and act autonomously. Learn the four areas of the AWS Responsible AI framework where agents change the rules, and hear how one of Australia's leading health insurer is putting responsible AI into practice — from strategy to governance to real-world trade-offs.
- AIM402Expert
Agentic AI Meets responsible AI: Strategy and best practices
AI agents offer powerful capabilities and require thoughtful design to help manage risks. This session explores responsible agentic AI implementation with appropriate controls and governance. Understand some of the scientific frontiers that inform design considerations, including the language of AI agents, context management, agent interactions, and common sense reasoning. Learn approaches for human oversight, risk mitigation, evaluation methods, and control mechanisms to help align agent behaviors with organizational goals, and help make agentic AI both effective and trustworthy.
- WPS202Intermediate
Secure and Resilient Agentic AI for High-Assurance Environments
As governments worldwide race to modernise services, agentic AI based autonomous systems that plan, decide, and act across workflowsis emerging as a game-changer. This session delivers a compliance-first blueprint for designing, deploying, and governing agentic AI in the Australian public sector, fully aligned with Australias Information Security Manual (ISM) and national AI standards. Learn how to transform legacy processes into proactive, citizen-centric services while ensuring security, transparency, and trustwithout regulatory risk.
- STP401Expert
How WhiteHorse AI Deploys Openclaw Agents on AWS with Amazon Bedrock
What if every small business could afford a chief of staff that never sleeps In this session, WhiteHorse AI shares how they build autonomous AI agents — "AI employees — that handle invoicing, email triage, lead follow-up, and customer inquiries 24/7.
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- techcrunch.com high confidence Agent payments & wallets
Stripe Link digital wallet AI agents shopping
Amazon announced 'Bedrock AgentCore Payments,' turning its AI agent platform into a transactional layer through a partnership with Coinbase (providing x402 stablecoin rails) and Stripe to enable payment rails for autonomous bots.
- edu.google.com high confidence Multi-agent collaboration patterns
Learning Tools & Educational Solutions
Google introduced the A2A (Agent2Agent) protocol, a standardized communication framework designed to enable interoperability between AI agents across different frameworks, teams, and organizations. Launched as part of a broader agentic suite at Google Cloud Next 2026, it includes
- arxiv.org high confidence Decision lineage & audit trails for agents
Artificial Intelligence May 2026 - arXiv.org
Daxn launched an AI agent governance system that provides a full audit trail and captures the complete multi-step journey for every agent action to ensure fast and explainable decisions.
- linkedin.com high confidence Multi-agent collaboration patterns
A2A Net
Google introduced the A2A (Agent2Agent) protocol, a standardized communication framework designed to enable interoperability between AI agents across different frameworks, teams, and organizations. Launched as part of a broader agentic suite at Google Cloud Next 2026, it includes
- vectorize.io high confidence Agent memory & RAG architectures
Best AI Agent Memory Systems in 2026: 8 Frameworks Compared
IBM introduced 'Real-time context on watsonx.data', which provides AI agents with data that is continuously accessible as it changes. Using a Real-Time Context Engine in partnership with Confluent, the system combines streaming data with semantic enrichment and governance, allowi
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