14 YEARS
in Agile Engineering & Software Development
500+
Consultants & Engineers
5
Global Offices
100+
Clients, including Fortune 500
Our Awards & Recognitions
Quality-first approach based on a mature ISO 9001-certified quality management system.
ISO 27001-certified security management that relies on comprehensive policies and processes, advanced security technology, and skilled professionals.
A full-scale PMO able to carry out even the most complex projects.
A leading outsourcing provider featured on the Clutch for three years in a row.
We are trusted by Fortune 500 companies
What Companies Are Solving with AI Agents
Many organizations already have powerful digital systems, but employees still spend hours coordinating between tools, searching for information, and manually executing tasks. AI agents solve this gap by acting as autonomous digital workers.
Businesses use AI agents to:
- Automate multi-step operational workflows across systems
- Retrieve and analyze information from internal knowledge bases
- Execute repetitive tasks in HR, finance, legal, and operations
- Assist employees with real-time insights and decision support
- Handle customer inquiries and service requests autonomously
- Coordinate between applications such as CRM, ERP, and internal platforms
Instead of simply responding to prompts, AI agents can understand goals, plan actions, and complete tasks end-to-end.
How We Use RAG to Make GenAI Practical
At Kyanon Digital, we combine LLMs, orchestration frameworks, tool integrations, and knowledge retrieval to build practical, production-ready AI agents. Our architecture typically includes:
Knowledge Layer
We ingest business data such as PDFs, databases, APIs, and enterprise systems.
1
Vector & Retrieval Systems
Content is transformed into searchable knowledge using vector databases such as Pinecone, Qdrant, or Weaviate.
2
AI Reasoning Layer
Multi-modal LLMs power reasoning, planning, and decision-making.
3
Agent Orchestration Layer
Agent frameworks manage task planning, tool usage, and agentic workflows.
4
Tool & System Integration
Agents interact with business tools like CRM, ERP, HR systems, and internal APIs.
5
Monitoring & Control
We implement guardrails, audit logs, and analytics dashboards to ensure reliability and governance.
6
This architecture enables secure, explainable, and scalable AI agents for enterprise environments.
AI Agent Development Services We Offer
AI Agent Strategy Consulting
- From evaluating your current setup to identifying AI agent implementation opportunities, we provide tailored consulting for successful collaboration.
- Our AI agent consulting encompasses determining the ideal AI agent type for your needs, selecting the appropriate LLM, identifying the required prompt engineering technique, defining the necessary tech stack, assessing integration options, and more.
Custom AI Agent Development
- Leveraging advanced tools like AutoGen Studio and crewAI, we craft custom AI agents tailored to your unique business needs.
- Whether you need virtual assistance, task automation, or decision-making support, our team creates AI agents that are not only tailored to your current needs but are also flexible enough to adapt to future changes in your business landscape.
AI Agent Integration
- Whether you prefer single-agent or multi-agent systems, we ensure your solution’s seamless integration into your workflows.
- Using advanced techniques in API architecture, microservices, and containerization, we streamline data flow, reduce latency, and foster smooth collaboration between AI agents and your current systems, establishing an efficient workflow.
Continuous Improvement and Maintenance
- We focus on continuous improvement and maintenance, ensuring the AI agent continuously iterates and maintains the agent workflow. Our developers engage in regular model fine-tuning and performance monitoring to keep the AI solution at its peak efficiency.
- This approach guarantees that your business benefits from consistently optimized and up-to-date AI capabilities.
AI Agents We Develop for Departments Across Industries
Customer Service
Enhance customer interactions and satisfaction through AI-driven support and personalized recommendations.
- Customer Support Agents
- Personalized Recommendation Agents
- Customer Feedback Analysis Agents
- Virtual Shopping Agents (Retail)
Human Resources (HR)
Streamline HR processes, from recruitment to employee management, with intelligent AI solutions.
- Talent Acquisition and Recruitment Agents
- Employee Onboarding Agents
- HR Support Agents
- Scheduling and Calendar Management Agents
Finance and Accounting
Automate financial tasks, enhance fraud detection and improve financial planning with AI.
- Financial Analysis and Reporting Agents
- Fraud Detection in Transactions Agents
- Automated Bookkeeping Agents
- Invoice Processing Agents
Marketing and Sales
Boost marketing strategies and sales performance through data-driven AI insights and automation.
- Automated Email Marketing Agents
- Lead Generation and Scoring Agents
- Sales Forecasting and Reporting Agents
- Market Research and Trend Analysis Agents
Information Technology (IT)
Optimize IT operations, enhance security, and streamline software development with AI.
- Task Automation Agents
- IT Helpdesk Support Agents
- DevOps Automation Agents
- Software Testing Agents
Research and Development (R&D)
Drive innovation and product development with advanced AI analytics and predictive insights.
- Data Analysis and Insights Agents
- Predictive Analytics Agents
- Product R&D Agents
- Competitive Analysis Agents
This is essential for companies in regulated sectors like legal, finance, healthcare, or government.
Operations and Logistics
Enhance operational efficiency and logistics management through AI-driven automation and optimization.
- Workflow Automation Agents
- Inventory Management Agents
- Supply Chain Optimization Agents
- Transportation and Logistics Planning Agents
Legal and Compliance
Improve compliance and legal processes with AI-powered analysis and monitoring tools.
- Document Review and Summarization Agents
- Contract Analysis and Review Agents
- Regulatory Compliance Monitoring Agents
- Legal Research Agents
Security
Enhance organizational security through AI-based threat detection and incident response systems.
- Fraud Detection and Prevention Agents
- Cybersecurity Threat Detection Agents
- Compliance Monitoring Agents
- Incident Response and Management Agents
Your Requirement Is Not On the List?
You can definitely explore additional options even if your specific requirements aren’t explicitly mentioned. We provide services like needs analysis, cost estimation, and project/risk management planning. For quicker ROI and idea validation, we can develop and deploy an MVP within a 2–4 month timeframe. We’re happy to discuss your business objectives and challenges.
Industries We Serve
- Banking & Finance
- Retail
- Healthcare
- Supply Chain & Logistics
- Insurance
- Manufacturing
- Automotive
- E-commerce
- Real Estate
- Media and Entertainment
- Legal
- Hospitality
Our Tech Stacks
Generative AI
MODELS
MODEL APPLICATION AND EFFICIENCY
AI PLATFORMS AND SERVICES
AGENTS AND ORCHESTRATION
Traditional ML
PLATFORMS AND SERVICES
FRAMEWORKS AND LIBRARIES
Programming languages
Our Approach: From Idea to Enterprise Deployment
Identify High-Impact Use Cases
We work with stakeholders to identify workflows where AI agents deliver the highest operational ROI.
1
Design the Agent Architecture
We define the orchestration model, tools, and LLMs best suited to your environment.
2
Connect Your Data & Systems
Agents are integrated with your data sources, APIs, and enterprise platforms.
3
Build and Deploy Secure AI Agents
Solutions can be deployed on your cloud, private infrastructure, or as secure enterprise applications.
4
Monitor, Optimize, and Scale
We continuously improve performance through analytics, user feedback, and model optimization.
5
Why Companies Choose Kyanon Digital for AI Agent Development
Autonomous Decision-making
Our AI agents can analyze data, initiate actions, and make decisions autonomously to support complex business workflows.
Skills Library Integration
Built with extensible Python-based skill libraries, our agents can execute diverse tasks and access external data beyond their training.
Multimodal Interaction
Utilizing AutoGen’s Multimodal Conversable Agent and LLaVA Agent, we equip our agents with the ability to process multisensory data, enabling them to process various input types, including text, speech, and images.
Defined Multi-agent Workflow
We design scalable multi-agent systems with hierarchical, sequential, or collaborative workflows to handle complex operations.
Customizable Conversation Patterns
Agents can interact with users, systems, or other agents while incorporating LLMs, human feedback, and automation tools.
Enhanced LLM Inference
We maximize the utility of Multi-modal LLMs by offering enhanced inference capabilities, including caching, error handling, multi-config inference, and templating, ensuring optimal performance and overcoming model weaknesses.
Let’s discuss how these practices can drive success for your specific project. Our team can share relevant case studies and references that match your industry and requirements.
Our Success Stories
Trusted by Industry Leaders
Our Outsourcing Insights
FAQ
The cost depends on the complexity, integrations, and capabilities required. Contact our team for a consultation and tailored estimate based on your business needs.
Vietnam offers highly skilled AI engineers, competitive development capabilities, and strong experience in software outsourcing and emerging AI technologies.
Modern deployments implement guardrails such as permission boundaries, human approval checkpoints, audit logging, and kill-switch mechanisms. Since agents interact with emails, databases, and APIs autonomously, organizations treat them as privileged users. Continuous monitoring and explainability dashboards help teams detect policy violations or abnormal decision patterns early.
Development timelines vary depending on scope and integrations. Most projects start with an MVP before scaling to enterprise-grade AI systems.
Successful organizations track outcome-based metrics rather than model accuracy. Common benchmarks include cost per completed task, automation success rate, reduction in manual hours, escalation frequency, and operational turnaround time. Observability platforms now measure task success across multi-step workflows because small execution failures compound quickly in autonomous systems.
Yes, but integration complexity is often underestimated. Older ERP or CRM environments contain undocumented workflows and inconsistent data definitions. Experienced development teams use middleware orchestration, data normalization layers, and staged rollout strategies to avoid workflow failures. Task-specific agents with human oversight typically achieve faster adoption in legacy ecosystems.
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