Agentic AI represents the next evolution in artificial intelligence, moving beyond reactive assistants to proactive, autonomous systems capable of understanding, deciding and acting, with minimal human oversight. Unlike generative AI, which focuses on producing outputs such as text, images or code in response to prompts, agentic AI systems can plan, remember, learn from experience and collaborate with other agents to achieve defined goals. They are designed to navigate complex tasks, adapt to changing conditions and integrate seamlessly with tools, data and APIs to deliver tangible business outcomes.
Why should businesses pay attention to Agentic AI?
In a competitive, cloud-first environment, organisations are under pressure to innovate faster, operate more efficiently and deliver exceptional customer experiences. Agentic AI offers the potential to automate multi-step workflows, make intelligent decisions in real time and reduce operational overheads. This capability is particularly attractive to industries with repetitive routines, such as finance, healthcare, retail and manufacturing, where efficiency gains and rapid adaptability can translate directly into competitive advantage. For innovation leaders, agentic AI is not just about replacing manual tasks; it is about reimagining processes and unlocking new opportunities for growth.
How can AWS help with agentic AI?
AWS has positioned itself at the forefront of agentic AI development, offering a comprehensive toolkit to design, build and deploy AI agents securely and at scale. At the core of this offering is Amazon Bedrock AgentCore, which provides runtime environments, intelligent memory, gateways, identity management, observability and tools to operate highly capable agents across any framework or model. Developers can take advantage of Strands Agents, an open-source SDK that simplifies agent creation with minimal code, and Amazon Nova, a family of foundation models built for agentic behaviours, including Nova Act for performing actions within web browsers.
For organisations seeking ready-made solutions, the AWS Marketplace offers hundreds of AI agents and tools from AWS Partners, enabling rapid deployment of automation and strategic AI initiatives. AWS also provides specialised services such as Kiro, an AI-powered IDE for spec-driven development, AWS Transform for modernising legacy workloads, and Amazon Q Developer and Amazon Q Business for enhancing productivity in software development and enterprise operations.
Putting agentic AI to work
The potential applications for agentic AI are vast. In customer service, AI-powered virtual agents can manage complex queries, escalate issues intelligently and integrate with backend systems to resolve problems without human intervention. In workflow automation, agents can coordinate multi-department processes, and ensure tasks are completed in sequence and on time. In data analysis, agentic AI can autonomously gather, interpret and act on insights, enabling faster decision-making and reducing the burden on human analysts. These capabilities are already being applied in sectors such as agriculture, where companies like Syngenta use multi-agent collaboration to deliver data-driven insights to farmers, and in financial services, where automation is accelerating loan processing and compliance checks.
Agentic AI is redefining how organisations design workflows, deliver services and innovate at scale. AWS provides the tools, models and infrastructure to turn this vision into reality, and TD SYNNEX can help you navigate the opportunities of generative and agentic AI on AWS.
Additionally, AWS Cloud Lab can help you to design, build and deploy AI agents that drive measurable business value.
