Building AI Agents with Amazon AgentCore
Leverage Cleveroad’s expertise in building Agentic AI systems on AWS AgentCore. We create and orchestrate multi-agent solutions through Amazon Bedrock to automate complex workflows and drive measurable business growth.
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Building AI Systems with AWS AgentCore
- Building intelligent AI agents on Amazon Bedrock AgentCore Runtime with the Starter Toolkit, LangGraph, and Strands to define agent loops, ensure secure IAM-based execution, and enable task handling in the AWS environment
- Deploying agents with the agentcore CLI, packaging logic, tools, and memory into runtimes. Integrating them into web, mobile, or backend systems via AgentCore Gateway for seamless interaction and automation
- Monitoring agent performance with Amazon CloudWatch Observability, tracking sessions, traces, and latency in real time, and tuning prompts and tool calls to improve reliability, accuracy, and efficiency of AWS production agents
Advantages of Amazon Bedrock AgentCore for AI Projects
Faster deployment and runtime efficiency
Better observability and performance track
Custom solutions for your domain
End-to-end development and automation
Flexible integration with your ecosystem
Enhanced security and governance
Built-In Capabilities of AWS AgentCore
Dynamic reasoning
Strands agents coordinate tasks and connect multiple data sources to deliver accurate, context-aware resultsOptimized performance
The AgentCore runtime enables fast, stable, and secure AI agent execution for consistent performanceSecure gateway
Amazon AgentCore connects agents to business systems and cloud data through a secure, compliant gatewayBuilt-in code interpreter
AI models include a built-in code interpreter that runs Python scripts for analytics and data transformationContinuous learning
AI models evolve through continuous tracking, adapting to new data and improving accuracy with observabilityMulti-agent orchestration
AWS AgentCore coordinates multiple agents to share context, delegate tasks, and achieve goals efficiently
AI Agents Use Cases Across Industries
Use case examples for Healthcare
Autonomous medical coding and billing
Autonomously extract and assign ICD, CPT, and HCPCS codes from clinical documents to streamline billing processes, ensure accurate reimbursement, and maintain compliance.
Personalized treatment recommendations
Deliver tailored care plans based on real-time patient data using scalable agentic AI systems that support clinicians in making faster, more informed decisions.
Clinical workflow automation
Optimize administrative workflows with AI agents that handle scheduling, documentation, and reminders to reduce manual workload and improve patient care.
Medical data triage and routing
Accelerate diagnosis and improve operational efficiency, leveraging AI agents to analyze incoming patient data and route it to the right department or specialist.
Use case examples for FinTech
Automated fraud detection and response
Deploy intelligent agents that continuously monitor transactions and autonomously act on suspicious patterns to protect against evolving financial threats.
Personalized financial advisory
Provide real-time, AI-driven investment guidance tailored to user goals using agentic AI platforms that adapt to market changes without human intervention.
Loan underwriting optimization
Transform traditional loan processing with autonomous agents that assess risk and make decisions using enterprise data and predefined business rules.
Regulatory compliance checks automation
Streamline compliance by using agentic AI to monitor financial activity, update documentation, and ensure adherence to regulatory standards automatically.
Use case examples for Education
AI tutors for personalized learning
Guide students through tailored learning paths, adapting content and pace in real-time with intelligent AI agents to meet individual progress and understanding.
Assignment grading automation
Reduce teacher workload by deploying agentic AI tools that evaluate assignments, give feedback, and maintain grading consistency across large student volumes.
Real-time engagement tracking
Monitor student attention and participation via AI systems that offer insights to instructors and adjust content delivery to maximize educational impact.
Curriculum planning support
Leverage AI solutions that analyze learning outcomes and suggest curriculum changes aligned with evolving educational standards and learner needs.
Use case for E-commerce
Conversational AI for product discovery
Enable businesses to improve customer experiences with AI agents that understand natural language and guide users to relevant products instantly.
Inventory and demand forecasting
Improve operational efficiency by using agentic AI to analyze trends and predict inventory needs, helping avoid stockouts or overstock situations.
Automated pricing strategy
Employ AI agents to autonomously adjust product prices based on market conditions, competitor data, and real-time customer behavior to maximize revenue.
Post-purchase experience management
Leverage agentic AI platforms to automatically handle returns, refunds, and feedback collection, ensuring seamless and scalable customer support after checkout.
Use case for Travel & Hospitality
AI agents for itinerary planning
Create personalized travel plans that adapt to user preferences and real-time conditions, enhancing customer satisfaction with minimal human input.
Dynamic pricing and yield optimization
Adjust travel package pricing in real-time based on demand, seasonality, and competitor activity with autonomous agentic AI systems.
Guest service automation
Deploy autonomous AI agents to respond to guest inquiries, provide local recommendations, and resolve issues quickly across communication channels.
Operational task management
Streamline hotel and airline operations with AI platforms that coordinate housekeeping, maintenance, and logistics based on real-time data.
Agentic AI Solutions We’ve Delivered
Germany
Healthcare
Challenges solved within the creation of an AI-based claims processing system:
- Replacing manual medical claim reviews with an agentic AI that autonomously validates treatment codes and policies
- Implementing an AI agent for automated data extraction and policy validation that reduced claim resolution time by 60%
- Setting up a real-time anomaly detection and cross-claim pattern analysis that improved fraud detection accuracy by 35%
United Kingdom
Fintech
Challenges solved within the creation of an AI-based credit scoring solution:
- Implementing an AI agent for real-time document parsing and risk signal analysis that automates creditworthiness assessment
- Deploying an autonomous decision engine that shortened loan approval cycles by 70%, reducing processing time
- Integrating explainable AI components and real-time decision monitoring that improved model transparency
Learn about Cleveroad’s expertise in Projects Portfolio.
in Projects Portfolio.
Show moreBuilding AI Agents with AWS Bedrock AgentCore
- Discovery & planning
- Custom agent design
- AI agent implementation
- Testing & optimization
- Launch & optimization
Discovery & planning
We start by defining automation goals and agent roles. Our AI team identifies where AI brings the most value, mapping workflows, setting KPIs, and creating a clear roadmap to boost efficiency and ROI across critical business operations.
Key outcomes:
Agent role definition
Agent integration map
Core feasibility metrics
AI delivery roadmap
Custom agent design
Our engineers and data scientists design your AI agent’s architecture and decision logic using CrewAI for task coordination and workflow automation. Each element is optimized for collaboration, reliability, and future scaling.
Key outcomes:
Architecture diagrams
Workflow prototype
Data flow mapping
UX concept creation
AI agent implementation
Developers connect your agent to business systems via a secure MCP server, ensuring real-time data access, smooth integrations, automation-ready connections, and consistent performance across APIs, databases, and tools.
Key outcomes:
Configured agent logic
API integrations setup
Agent data access setup
Functional MVP product
Testing & optimization
We validate every component of your solution for precision, accuracy, and performance. Using AgentCore observability, we track metrics, debug workflows, and optimize behavior before deployment to ensure reliability at scale.
Key outcomes:
Agent workflow evaluation
Performance report
Prompt tuning & retraining
Feedback refinement
Launch & continuous support
Your custom agent is deployed within your environment using AWS Bedrock Agent Core runtime. We provide post-launch monitoring, updates, and continuous optimization to help your AI evolve with your business.
Key outcomes:
Agent deployment
ChatKit UI integration
Monitoring and analytics
Post-launch tuning
Certifications
ISO 27001
Information Security Management System
ISO 9001
Quality Management Systems
AWS
Select Tier Partner
AWS
Solution Architect, Associate
Scrum Alliance
Advanced Certified, Scrum Product Owner
AWS
SysOps Administrator, Associate
Why Choose Cleveroad as Your AI Agent Building Partner
Proven expertise in agents and tools
Our engineers have deep experience building advanced agents and tools with AWS AgentCore, applying multimodal reasoning, orchestration, and automation tailored to each client’s needs, ensuring reliability, scalability, and measurable performance gains.
Custom architecture powered by AgentCore services
Our experts build Agentic AI systems powered by AgentCore services, allowing flexible agent logic, task routing, and integration with your data ecosystem. We design architectures aligned with your workflows for seamless fit and measurable results.
Seamless integration and real-time monitoring
We connect your agents with enterprise systems like CRMs, ERPs, accounting solutions, etc., and cloud resources, ensuring full performance transparency through CloudWatch dashboards and continuous runtime tracking for proactive optimization and reliability.
Secure access and identity management
We ensure data integrity, compliance, and trust across every AI workflow by using AgentCore identity for secure access control, transparent operations, and full auditability across all environments and processes.
Our Clients Say About Us
DenmarkCTPO of Penneo A/S
"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."
Industry Contribution Awards
70 Reviews on Clutch
4.9
Award
Clutch 1000 Service Providers, 2024 Global
Award
Clutch Spring Award, 2025 Global
Ranking
Top AI Company,
2025 Award
Ranking
Top Software Developers, 2025 Award
Ranking
Top Web Developers, 2025 Award
Ranking
Top Staff Augmentation Company US, 2025 Award
- Faster agent development and deployment
- Secure agent identity and system access control
- Model observability and monitoring
- Compliance-ready AI environment
- Lower Ai agent maintenance costs
- Full control over agent logic