Custom AI Agents with Vertex AI Agent Builder
Create and orchestrate innovative AI agents with Cleveroad using Google Vertex Agent Development Kit (ADK). We design intelligent solutions that will help your business cut costs, speed up workflows, and make smarter data-driven decisions
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Building AI Agents with Vertex AI Agent Builder
- Building intelligent AI agents with Agent Development Kit (ADK) enables the creation of multi-agent systems using Vertex AI’s ADK, enhanced with prebuilt tools and sample agents from Agent Garden to accelerate development
- Deploying AI agents with Vertex AI Agent Engine and Cloud Infrastructure ensures reliable deployment, seamless scaling, and stable performance for agents running across diverse production environments
- Optimizing agent performance with monitoring and a security framework provides complete visibility and control through observability tools that track, audit, and protect every agent operation
Benefits of Vertex Agent AI Builder for AI Integration
Deployment ready
Lower development costs
Rich tool ecosystem
Flexible orchestration
Multi-agent architecture
Enterprise-grade reliability
Features of Models Built with Vertex AI Agent Builder
Data access and search
Agents connect to enterprise data through Vertex AI Search, enabling real-time insights across your organizationWorkflow automation
Vertex AI agents use LLM reasoning and structured workflows and orchestrate processes across systemsMultimodal intelligence
Powered by Vertex AI’s multimodal models, agents process text, images, and data for smarter analyticsGoogle integration
Agents integrate natively with BigQuery and other GCP services, ensuring secure data processingBuilt-in evaluation
Evaluate agent performance by testing response quality and execution flow against defined scenariosBuilding secure agents
Build reliable agents by applying proven security and safety practices to their design
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 moreHow We Create AI Agents with Vertex AI
- Discovery & planning
- Custom agent design
- AI agent implementation
- Testing & optimization
- Launch & optimization
Discovery & planning
We begin by defining your automation objectives, key use cases, and operational priorities. This stage focuses on identifying where AI will bring the most impact, from customer experience enhancement to process optimization.
Key outcomes:
Agent role definition
Agent integration map
Core feasibility metrics
AI delivery roadmap
Custom agent design
Our team designs the agent’s architecture, logic, and interaction flow using Vertex AI Agent Builder. We connect agents to your enterprise data and tools to ensure seamless integration with your existing systems.
Key outcomes:
Architecture diagrams
Workflow prototype
Data flow mapping
Agent UX-design concept
AI agent implementation
Using the Vertex Agent AI Builder, our engineers connect your agent to live business systems, APIs, and data sources. We enable secure data access, real-time processing, and automation capabilities for analytics and reasoning.
Key outcomes:
Configured agent logic
API integrations configuration
Agent data access setup
Functional MVP product
Testing & optimization
We run extensive testing to validate workflow accuracy, stability, and performance. Leveraging Vertex AI evaluation tools and internal frameworks, we refine prompts and optimize agent behavior for consistent, reliable results.
Key outcomes:
Agent workflow evaluation
Performance report
Prompt tuning & retraining
Feedback refinement
Launch & continuous support
After testing, we deploy your agents to a fully managed runtime, ensuring smooth integration and real-time interaction. Post-launch, we provide monitoring, updates, and ongoing optimization to keep your agent evolving.
Key outcomes:
Agent deployment
Interface 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 agentic AI systems
Our team has extensive experience with LLMs, autonomous agents, and multimodal AI powered by Google Vertex AI. We apply advanced prompt design, reasoning frameworks, and GCP-native tools to build agents that act intelligently and align with your business logic.
Custom AI architecture for your goals
Each of our solutions comes from the ground up, from workflow mapping to API integration. We create agent architectures optimized for your domain and processes, ensuring precision, high performance, efficiency, and tangible ROI.
Native integration with Google Cloud ecosystem
We connect your AI agents directly with BigQuery, Vertex AI Search, Cloud Storage, and other GCP services. Such an approach ensures seamless data flow, real-time analytics, and uninterrupted collaboration across systems.
Faster, transparent delivery process
Using Google’s Vertex AI Agent Builder and Agile methodology, we shorten development cycles and maintain full visibility at every stage. You get faster deployment, predictable progress, and a working solution without unnecessary delays.
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 specify where automation or reasoning adds the most value.
- Map workflows and logic. Outline the agent’s decision paths, task sequences, and interaction flow.
- Connect data sources. Integrate APIs, databases, and tools to give the agent access to relevant enterprise data.
- Configure reasoning models. Select and fine-tune Vertex AI foundation models to align with the desired behavior and outputs.
- Test and validate performance. Use Vertex AI’s evaluation tools to ensure reliability, accuracy, and readiness for deployment.