Agentic AI
What is Agentic AI?
Agentic AI is about creating ML infrastructure to work on the jobs that slow your team down—those repetitive, multi-step tasks that eat up hours and require constant checking, handoffs, or manual fixes. Instead of just acting as a chatbot, like the AIs most know today, agentic AI can actually take action: it finds information, makes decisions, and gets things done across your systems.
For businesses, this means solving the headaches that keep teams from moving fast. Whether it’s streamlining customer support, hypertailoring marketing campaigns at scale, or building a bespoke solution for your unique business, the tools and guidance are out there to automate this work effectively. AWS has built a powerful toolchain of capabilities for agentic AI, but making it work for your business takes more than just turning it on. With experience from over 150 unique generative AI solutions, Mission’s AI and AWS experts will ensure your project is driven by deep customer insight that helps you design, launch, and scale agentic AI to solve your specific challenges.
Just Starting To Learn About Agents?
Then this podcast is for you. Take twenty minutes during your next lunch break to hear Mission’s Chief AI and Data Scientist, Dr. Ryan Ries, answer the question so many are asking - what even is agentic?
The Six Pillars of Agentic AI
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Autonomy allows independent operation and decision-making
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Reasoning and Planning break down complex tasks
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Memory retains context and improves accuracy
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Tool Use enables interaction with external systems
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Learning and Adaptability enhance performance over time
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Multimodal Capacity processes diverse data types
Amazon Bedrock Agentcore
Amazon Bedrock Agentcore is a comprehensive set of fully managed services that provide infrastructure, tools, and capabilities purpose-built for running highly efficient AI agents at scale. To put Amazon Bedrock Agentcore into production most effectively, we focus on three key areas:
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Memory
Mission configures memory systems that help your agents retain the right information across sessions without ballooning storage costs. We ensure agents remember what matters—user preferences, workflow state, business context—while automatically discarding what doesn't.
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Integration
We connect your agents to existing APIs, databases, and enterprise systems without rebuilding your infrastructure. Mission handles the translation layer so your agents can pull data and trigger actions across your tech stack seamlessly.
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Observability
Mission implements monitoring that shows you exactly what your agents are doing and why. We set up dashboards and alerting so you can debug issues quickly, prove compliance, and continuously improve agent performance based on real usage patterns.
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Security
Mission ensures your agents only access the right data for each user, protecting sensitive information and enforcing strict permissions. We help you avoid data sprawl and keep your environment secure.
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Guardrails
We design robust guardrails so your agents act within clear boundaries—no risky shortcuts and no overreaching. Mission helps you define, monitor, and enforce safe behaviors, reducing the risk of costly mistakes.
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Runtime
Mission optimizes agent runtimes to keep data calls efficient and costs predictable. We streamline workflows so your agents only fetch what’s needed, preventing runaway expenses and sluggish performance.
Common Use Cases For Agentic AI
Agents orchestrate advanced workflows, breaking down intricate processes into smaller, actionable steps. Their autonomy and ability to collaborate unlock new possibilities for business transformation. The following use cases represent just a glimpse—agentic AI adapts to nearly any challenge you can imagine.
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Automated customer support and triage
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Intelligent document processing
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Personalized marketing campaign orchestration
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Workflow automation across enterprise systems
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Real-time data retrieval and synthesis
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IT operations and incident response
Debunk AI Myths!
Then we have a podcast for you, too! This conversation, also led by Mission’s Chief AI and Data Scientist, Dr. Ryan Ries, goes deeper into agentic AI so we can parse the real from the make-believe.
Agentic AI on AWS
AWS is a leader in agentic AI, offering a suite of tools refined over years of real-world AI deployment. With Mission’s guidance, these services can empower your organizations to build, scale, and secure agents for any business scenario.
| Amazon Bedrock Agentcore | Kiro | Amazon Q Business | Amazon Q Developer |
| AWS Transform | Strands Agents | Amazon Nova Act | Amazon Bedrock Agents |
Why Mission
Mission brings deep AI expertise, hands-on support, and a proven track record of real-world deployments. We help you navigate every step—from strategy to infrastructure—so your agentic AI solutions on AWS are practical, secure, and built to deliver lasting business value.
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Proven Gen AI Expertise
AWS Generative AI Competency launch partner with decades of AI leadership experience and over 100 unique generative AI solutions delivered.
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Comprehensive Support
Our proven process guides you from defining objectives to model selection, team training, and application development for smooth deployment.
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Diverse Use Case Experience
Successful implementation across translation, document processing, call centers, and dozens more use cases exposes us to key deployment challenges.
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Infrastructure Leadership
Born-in-the-cloud expertise in building, optimizing, and maintaining generative AI infrastructure with specialized LLMOps for scalable, secure solutions.
Get in Touch
Want to talk about using Agents on AWS?
Schedule a free consultation with a Mission Cloud Advisor today.