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AWS AI Competency Partners

AWS has expanded the AI Competency program with three new Agentic AI categories, recognizing partners with deep expertise in enterprise AI solutions that understand context, reason over goals, and act autonomously.

Market Momentum

Organizations are moving beyond basic AI experimentation toward autonomous systems that drive real business value:

  • 23% of organizations expect full agentic AI deployment in the next 12 months (IDC)
  • 65% of organizations expect full deployment by 2027 (IDC)
  • AWS has invested over $115 million in the AI Competency program

“Our data shows that customers working with AI Competency Partners are implementing production solutions 25% faster—a clear signal that validated expertise accelerates transformation.”

— Ruba Borno, VP Global Specialists and Partners, AWS

Agentic AI Categories

Partners in these categories undergo rigorous technical validation and must demonstrate successful customer implementations using Amazon Bedrock, AgentCore, Amazon SageMaker AI, and related services.

Agentic AI Applications

Partners who develop autonomous AI solutions that perceive environments, reason over complex goals, and execute purposeful actions with minimal human intervention. These applications orchestrate sophisticated workflows, maintain extended contextual awareness, and collaborate across multiple platforms while ensuring compliance with enterprise governance requirements.

Examples:

Autonomous workflow orchestrationMulti-platform agent collaborationContext-aware decision systemsEnterprise-grade autonomous assistants

Agentic AI Tools

Partners who create platforms, frameworks, and development tools enabling organizations to build, deploy, and manage agentic AI systems efficiently. This includes both AWS-native solutions like Amazon Bedrock AgentCore and open-source frameworks that integrate with AWS infrastructure.

Examples:

Amazon Bedrock AgentCoreStrands Agents (AWS)LangGraph / LangChainCrewAI

Agentic AI Consulting Services

Partners who provide strategic guidance, implementation expertise, and ongoing support for agentic AI initiatives. These partners help organizations navigate deployment complexity while ensuring business alignment, governance requirements, and sustainable competitive advantages.

Examples:

AI strategy developmentAgent implementation servicesGovernance framework designChange management and adoption

The Foundation: Amazon Bedrock

AI Competency partners build on Amazon Bedrock—AWS's fully managed service for building generative AI applications. Key capabilities include:

Amazon Bedrock Agents

Build agents using foundation models that orchestrate tasks, call APIs, and connect to company data—setup in minutes with natural language instructions.

Amazon Bedrock AgentCore

Deploy and operate agents at scale with any framework. Includes Runtime, Gateway, Memory, Identity, and Observability services.

Knowledge Bases

Implement RAG patterns to ground agent responses in your enterprise data sources with managed vector storage and retrieval.

Guardrails

Apply responsible AI safeguards with content filtering, PII redaction, and policy controls that enforce boundaries on agent behavior.

Enterprise Results

Organizations using AWS agentic AI services are achieving measurable outcomes:

Ericsson

“AgentCore powers our crucial fusion of data and information to deliver AI agents of unprecedented capability in real-world R&D, scaling to double-digit gains across a workforce in the tens of thousands.”

— Dag Lindbo, Head of AI and Emerging Technologies

Epsilon

  • ✓30% reduction in campaign setup time
  • ✓20% increase in personalization
  • ✓8 hours saved weekly per team

Thomson Reuters

“AgentCore reduces our engineers' cognitive load by abstracting away infrastructure complexity—agent runtimes, observability, lifecycle management—so they can focus on solving the business problems that matter.”

— Emre Caglar, Head of Product Engineering

OAIO Alignment with AWS AI Services

Orion AI Outcomes creates the strategic foundation that maps directly to AWS platform capabilities. Each OAIO pillar addresses critical preparation areas before implementation begins.

Pillar 1: Value & Adoption: Identifies high-value use cases that align with Bedrock Agents multi-agent collaboration and workflow automation capabilities.
Pillar 2: Data Readiness: Prepares enterprise data for Knowledge Bases RAG patterns and ensures data architecture supports agent memory and retrieval.
Pillar 3: Trust & Governance: Defines policies that translate to Guardrails configurations and AgentCore Policy enforcement boundaries.
Pillar 4: Experience Design: Specifies human-agent interactions that leverage AgentCore Runtime, Browser, and Code Interpreter capabilities.
Pillar 5: FinOps: Establishes metrics aligned with AgentCore Observability and Evaluations for ongoing cost and quality management.

OAIO Delivers

  • Prioritized opportunity roadmap
  • Data readiness assessment
  • Governance framework
  • Experience design specs
  • Economic models

Orion AI Service Delivery Implements

  • Bedrock Agents configuration
  • AgentCore deployment
  • Knowledge Bases integration
  • Guardrails implementation
  • Production monitoring

Launch Partners

With 60 launch partners, this marks AWS's largest Specialization launch to date. These partners are deploying agents that orchestrate complex workflows across enterprise systems.

AWS AI Competency Launch Partners - 60 organizations including Accenture, Anthropic, Databricks, Deloitte, IBM, LangChain, PwC, Snowflake, and more

Preparing for Agentic AI on AWS

OAIO provides the strategic foundation that ensures your AWS implementation addresses value, data, governance, experience, and economics from day one.

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