AI Agent Development
Custom Agents, Agentic Workflows & AI Automation
AI agents are software systems that reason, plan, use tools, and take autonomous actions to complete goals. Brillnex Systems builds production-grade agents for enterprise automation, research, support, and data workflows.
As of 2026, autonomous AI agents are the fastest-growing area of enterprise AI investment. We have built agents using LangGraph, the OpenAI Assistants API, and Anthropic's tool-use system, all shipped to production.
TL;DR
An AI agent is an LLM that can use tools (search, code, APIs) and take multi-step autonomous actions. Brillnex builds single-purpose agents and full multi-agent systems, with reliability, error handling, and human-in-the-loop gates built in. Offshore rates, 4–16 week delivery.
What AI Agent Development Includes
Common deliverables across our agent development engagements:
- Single-purpose AI agents: research, support, data extraction, reporting
- Multi-agent orchestration systems with task delegation and coordination
- Tool-use integrations: web search, code execution, database queries, API calls
- LangGraph and LangChain-based stateful agentic workflows
- OpenAI Assistants API integration with file handling and thread management
- Human-in-the-loop review gates for high-stakes agent decisions
- Agent observability: trace logging, latency monitoring, error tracking
- Memory and context persistence across long-running agent sessions
Why Choose Brillnex for AI Agent Development?
Production reliability
We design every agent with failure modes in mind: fallback paths, retry logic, validation layers, and human review gates for high-stakes decisions.
Framework expertise
We work with LangGraph, LangChain, OpenAI Assistants, and Anthropic tool-use, and choose the right one for your architecture rather than the one we are most comfortable with.
Offshore pricing
Senior AI engineers at 40–60% below US or UK rates. Complex multi-agent systems that would cost $80k+ at a US agency cost $35k–$50k with Brillnex.
Frequently Asked Questions
What is an AI agent?
An AI agent is a software system powered by a large language model that can autonomously reason, plan, use tools, and take sequential actions to complete a goal without a human directing each step. Unlike a chatbot, an agent can browse the web, run code, call APIs, write files, and make multi-step decisions.
What is the difference between an AI chatbot and an AI agent?
A chatbot receives a message and generates a reply: one turn, one output. An AI agent is given a goal and autonomously plans and executes multiple steps to achieve it, using tools like web search, code execution, database queries, and API calls. Agents are far more capable but also more complex to build reliably.
What frameworks do you use to build AI agents?
We build agents using LangChain, LangGraph, the OpenAI Assistants API, Anthropic's tool-use API, and AutoGen. Framework selection depends on the use case. LangGraph is best for complex stateful workflows, while the Assistants API is best for simpler task-based agents.
How much does AI agent development cost?
A single-purpose AI agent typically costs $8,000–$20,000. A multi-agent system with orchestration, tool access, and human-in-the-loop reviews costs $25,000–$60,000+. Offshore pricing means these numbers are 40–60% below US agency rates.
Are AI agents reliable enough for production?
As of 2026, AI agents are production-ready for well-defined, bounded tasks. They perform reliably for research, data extraction, report generation, and workflow automation. We design for reliability first: every agent we build includes error handling, tool call validation, and fallback paths.
Do you build AI automation workflows, not just chat agents?
Yes. Much of our agent work is AI automation: agents that read incoming email, documents or tickets, decide what to do, call your CRM, ERP, helpdesk or internal APIs, and either complete the task or hand it to a person for approval. We design each workflow with validation steps, logging and a human-in-the-loop path, so the automation is auditable rather than a black box.
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Ready to build an AI agent?
Book a free scoping call. We'll map out the right agent architecture for your use case and give you a clear scope and timeline.
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