Creating AI Agents with OpenAI AgentKit
Accelerate AI adoption with Cleveroad and get a ready-to-use Agentic AI system that starts delivering measurable results from day one. With OpenAI Agent Kit, we orchestrate complex agent workflows and deploy them faster.
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Building AI Agents with OpenAI AgentKit
- Building intelligent AI agents using OpenAI Agent Builder, combining LLMs, tools, and custom logic in a single workflow. Our team designs agents that can rea
- Deploying agents using ChatKit, embedding them into your applications with customizable chat interfaces. Each solution is tailored to your brand and ecosystem, ensuring smooth, real-time interaction between users and AI.
- Optimizing agent performance using Evals and Trace Grading. Continuous monitoring and improvement allows us to test accuracy, optimize prompts, and enhance reliability, keeping your AI system efficient, adaptive, and production-ready.
Benefits of Utilizing Open AI Agent Kit for Your Projects
Faster AI implementation
Seamless system integration
Continuous improvement and scalability
Lower development costs
Tailored solutions for your domain
Enterprise-grade security
Built-In Tools by OpenAI AgentKit
Web search
AI agents access verified, up-to-date information from the internet to deliver accurate, real-time answersFile search
Agents retrieve relevant information from internal files, knowledge bases, and shared documentsImage generation
AI agents create images directly from text descriptions, enabling quick production at a lower costCode interpreter
The built-in code interpreter runs Python code for data analysis, calculations, and reportingComputer use
Agents independently perform browser-based tasks such as online searches or form submissionsConnectors and MCP
AI agents integrate with CRMs, ERPs, and other systems through connectors and MCP servers
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.
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.
Assignment grading automation
Reduce teacher workload by deploying agentic AI tools that evaluate assignments, give feedback, and maintain grading consistency across large student volumes.
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.
Guest service automation
Deploy autonomous AI agents to respond to guest inquiries, provide local recommendations, and resolve issues quickly across communication channels.
Dynamic pricing and yield optimization
Adjust travel package pricing in real-time based on demand, seasonality, and competitor activity with autonomous agentic AI systems.
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 moreOur Structured AI Agents Building Process
- Discovery & planning
- Custom agent design
- AI agent implementation
- Testing & optimization
- Launch & optimization
Discovery & planning
The process begins with defining automation goals, target use cases, and key operations that can benefit from agentic AI. This stage focuses on identifying where AI adds the most value, whether in customer service or employee task automation.
Key outcomes:
Agent role definition
Agent integration map
Core feasibility metrics
AI delivery roadmap
Custom agent design
The agent’s architecture, personality, and behavior are designed using OpenAI’s Agent Builder interface. Workflows, decision logic, and communication patterns are outlined to ensure the agent fits seamlessly into the existing ecosystem.
Key outcomes:
Architecture diagrams
Workflow prototype
Data flow mapping
API integrations setup
AI agent implementation
Developers connect your agent to real business systems through APIs, databases, and tools. They set up secure data access, enable real-time actions, and integrate capabilities like document parsing or multimodal understanding.
Key outcomes:
Configured agent logic
UX concept creation
Agent data access setup
Functional MVP product
Testing & optimization
Comprehensive testing ensures the agent’s workflows, accuracy, and performance meet quality expectations. Using OpenAI Eval API and internal validation frameworks, the solution is refined for stability, precision, and responsiveness.
Key outcomes:
Agent workflow evaluation
Performance report
Prompt tuning & retraining
Feedback refinement
Launch & continuous support
Once tested, your agent is deployed using ChatKit for seamless UI embedding across web and mobile platforms. After launch, you can request continuous monitoring, updates, and optimization to keep your agent learning and evolving.
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 Builder Partner
Deep expertise in agentic AI
Our engineers have hands-on experience with LLMs, autonomous agents, and multimodal AI systems. We use OpenAI AgentKit and advanced prompt engineering to create high-performing agents that think, act, and adapt to your goals.
Tailored architecture for your business
Every solution we deliver is custom-built, from defining agent logic to integrating APIs and databases. We design AI workflows aligned with your business processes and solve your actual challenges, ensuring seamless fit and measurable ROI.
Seamless integration with your ecosystem
Our specialists connect AI agents with your existing software stack, APIs, and data pipelines, including CRMs, ERPs, and analytics systems, without disrupting your operations. You get automation that works within your current environment, not outside it.
Fast and transparent delivery
Using OpenAI’s Agent Kit and proven Agile practices, we deliver results quickly and keep you involved at every stage, providing clear communication at every model-building stage. Our AI process ensures faster deployment and visible progress from day one.
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
- Define the use case. Identify the business problem and outline how the agent will support or automate it.
- Map the agent workflow. Design task sequences, decision paths, and logic connections between nodes.
- Connect data sources. Integrate external information via APIs, databases, or third-party tools.
- Refine prompts and test responses. Adjust prompt templates to ensure accuracy and consistency in agent output.
- Deploy and embed. Use ChatKit to deploy the agent and embed it into your web or mobile product.