Custom AI Agent Development Services

Frequently Asked Questions

• Q:

  As an AI agent development company, what can Azumo build?

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  Azumo builds autonomous AI agents that plan, reason, and execute multi-step business tasks without human intervention. Our AI agent development services cover the full lifecycle: strategy, architecture, development, integration, and ongoing optimization. We build agents for workflow automation, customer service, document processing, inventory management, and multi-system orchestration. Our agents connect to CRMs like Salesforce and HubSpot, ERPs like SAP and NetSuite, cloud platforms including AWS, Azure, and Google Cloud, and communication tools like Slack and Microsoft Teams. We use frameworks including LangChain, LangGraph, CrewAI, and Microsoft AutoGen, powered by LLMs from OpenAI, Anthropic Claude, and LLaMA. As an example, we developed Charlibot, an AI-powered chatbot platform that delivers real-time, personalized conversations. Every project ships under SOC 2 compliance from our nearshore teams across Latin America.

• Q:

  How much does it cost to hire an AI agent development company?

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  AI agent development costs vary based on complexity, integration scope, and deployment requirements. Azumo offers three engagement models: fixed-price projects for well-defined scopes, dedicated AI development teams for ongoing work, and staff augmentation to embed individual engineers into your existing team. Our nearshore model with engineers across Latin America delivers enterprise-quality AI development at 30-50% lower cost than equivalent US-based teams. We also leverage AI-augmented development workflows that reduce delivery time and cost. A typical engagement starts with a free discovery session where we define requirements, evaluate feasibility, and provide an accurate estimate. POC and MVP agents can be delivered in days. Production-ready agents with enterprise integrations typically take 4-9 months.

• Q:

  How long does it take to develop a custom AI agent?

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  A proof-of-concept AI agent can be delivered in days, and a production-ready agent with enterprise integrations typically takes 4-9 months. Timeline depends on the number of system integrations, complexity of decision logic, data pipeline requirements, and security/compliance needs. Azumo uses agile development with working increments delivered throughout the project. Our dedicated nearshore teams work in your time zone, participate in daily standups, and integrate with your CI/CD pipelines. For simpler agents handling single-system tasks like customer support triage or document classification, expect weeks. For complex multi-system orchestration agents managing cross-platform workflows, expect several months.

• Q:

  What's the difference between an AI agent and a chatbot?

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  AI agents are autonomous systems that independently plan, decide, and execute multi-step tasks across multiple systems, while chatbots primarily respond to user inputs based on predefined scripts or trained responses. A chatbot handles customer inquiries and basic Q&A. An AI agent can monitor inventory, predict demand, generate purchase orders, evaluate supplier responses, and process payments without human intervention. AI agents use goal-oriented reasoning, maintain memory across interactions, access external tools and APIs, and learn from outcomes. Chatbots are reactive and typically operate within a single interface. Azumo builds both: standalone chatbots using our Charlibot platform, and autonomous AI agents using frameworks like LangChain, LangGraph, and CrewAI for complex business process automation.

• Q:

  How do AI agents integrate with our existing business systems?

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  Azumo builds AI agents with native integration capabilities for enterprise systems including Salesforce, HubSpot, SAP, Oracle, NetSuite, ServiceNow, Slack, Microsoft Teams, AWS, Azure, and Google Cloud. We use standard protocols including REST APIs, GraphQL, webhooks, and message queues to connect agents with your existing software. Our integration process includes security review, data mapping, authentication configuration, error handling, and comprehensive testing. For regulated industries, we implement compliance-specific controls for HIPAA, GDPR, PCI-DSS, and SOX. AI agents can be deployed in your private cloud, on-premises, or in hybrid environments when data sovereignty requirements demand it. SOC 2 certification ensures enterprise-grade security throughout the integration process.

• Q:

  What industries benefit most from AI agent development?

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  AI agents deliver measurable ROI across healthcare, financial services, insurance, retail, manufacturing, and professional services. In healthcare, agents automate appointment scheduling, patient data collection, and preliminary assessments while maintaining HIPAA compliance. Financial services firms deploy agents for fraud detection, loan processing, and compliance monitoring. Insurance companies use agents for claims processing, policy management, and risk assessment. Retail and e-commerce businesses automate inventory management, order processing, and personalized customer experiences. Manufacturing operations benefit from supply chain optimization, predictive maintenance, and quality control automation. Azumo has delivered AI agent solutions across all these sectors. We built a custom AI/ML platform for Meta that used Named Entity Recognition to extract supplier capabilities, and deployed real-time generative AI systems for Stovell AI's 24/7 financial platform.

• Q:

  What AI technologies and frameworks does Azumo use for agent development?

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  Azumo's AI agent stack includes LLM foundations from OpenAI, Anthropic Claude, LLaMA, Mistral, Qwen, and DeepSeek. We build with agentic frameworks including LangChain, LangGraph, LlamaIndex, CrewAI, and Microsoft AutoGen. Cloud deployment spans AWS Bedrock, Azure OpenAI, and Google Vertex AI. We use vector databases like Pinecone, Weaviate, and Chroma for RAG-powered agent memory. Our MLOps pipeline uses Docker, Kubernetes, and CI/CD automation for production deployment and monitoring. We also offer Valkyrie, our proprietary AI infrastructure platform that provides a single REST API to any LLM, image model, or fine-tuned model. We are technology-agnostic and select the optimal stack based on your requirements, existing infrastructure, latency constraints, and cost targets.

• Q:

  How do you ensure AI agent security and data privacy?

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  Azumo is SOC 2 certified and implements end-to-end encryption, role-based access controls, secure API authentication, comprehensive audit logging, and data masking for sensitive information. Every AI agent undergoes security review before deployment. For regulated industries, we implement compliance-specific controls for HIPAA, GDPR, PCI-DSS, and SOX. We can deploy agents in your private cloud, on-premises infrastructure, or air-gapped environments when data sovereignty requirements demand it. Our security measures include regular penetration testing, vulnerability scanning, and incident response procedures. We maintain detailed documentation of data handling procedures and provide transparent compliance reporting. All development follows secure coding practices with code review, automated testing, and dependency scanning.