AI Agent Development Services &
Multi Agent Systems

An AI agent is a system that takes a goal, breaks it into steps, calls tools or APIs to complete each step, observes the result, and continues without a human directing each action. It executes a workflow autonomously, across multiple systems, over multiple steps. A chatbot responds to a message. An AI agent completes a process.

A chatbot handles single turn responses within a conversation. An AI agent executes multi step workflows across multiple tools and systems: querying databases, calling APIs, writing records, routing decisions, and taking actions autonomously. The operational scope is categorically different.

Engagements at Van Data Team start with a fixed price Strategy Sprint from $1,500 that scopes the build. A single production agent typically costs $8,000 to $20,000, and a multi agent system $25,000 to $80,000. Final pricing depends on workflow complexity, integration requirements, and whether the system requires multi agent orchestration or single agent execution. Every engagement receives a fixed quote after a free workflow audit.

Van Data Team delivers AI agent development across multiple industries including ecommerce, finance, healthcare, and automotive. We provide specific case studies for each sector, such as RAG systems for automotive manuals and data pipelines for fintech. Every architecture is tailored to the unique compliance and workflow constraints of your specific industry.

State management, guardrails, observability, cost controls, retry and timeout handling, human in the loop checkpoints, and monitoring that alerts you to failures before users ever encounter them. A demo agent has none of these. A production agent ships with all of them from day one.

Framework selection is matched to the workflow requirement. LangGraph for complex branching workflows where stateful execution and auditability matter most. CrewAI for multi agent coordination with specialized roles. The OpenAI Agents SDK for velocity first builds. Custom stacks when a framework adds unnecessary complexity. The audit stage produces a recommendation with a clear rationale before implementation starts.

Single agent workflows: two to four weeks from audit to production. Multi agent systems with complex integrations: four to eight weeks. The workflow audit produces a delivery estimate based on actual scope, not a rough range adjusted upward mid project.

Engagements are scoped after the workflow audit, because pricing reflects the actual complexity of the build. Strategy Sprints are fixed price. Production builds are priced per project based on scope, framework complexity, and integration requirements. Book a free 30 minute consultation for a realistic estimate.

Every production build includes a 30 day hardening window after launch as part of the delivery. Issues that surface under real load during this period are addressed as part of the engagement, not billed separately. Ongoing embedded partner support is available after the 30 day window.

Yes. Most builds involve integration with CRMs, databases, data warehouses, internal APIs, and communication platforms. The workflow audit maps your existing stack and specifies integration architecture before implementation starts.

It depends on whether agent infrastructure is your core product. If it is not, a specialized partner is usually faster and cheaper: the recurring failure points of in house builds, such as state management, guardrails, observability, and cost control, are solved patterns for a team that ships agents continuously. Van Data Team delivers production agents in two to four weeks with a fixed scope, which is typically shorter than the hiring cycle for one ML engineer.

LangGraph is a framework for building stateful, graph based AI agent workflows. It models each agent step as a node with explicit transitions, which makes branching logic deterministic, auditable, and easy to checkpoint. We use LangGraph when a workflow needs reliable routing, human in the loop pauses, or full execution traces, and CrewAI when role based task delegation fits the problem better.

You do. Once the invoice is paid in full, everything written for you, the agents included, is yours; the existing tools we bring in are licensed to you permanently and royalty free, and cloud, API and model accounts are opened in your name. Your data and documents stay confidential during the project and for three years after it, and a data processing agreement is signed before any personal data is shared.

In English, in writing and on calls, on Vietnam time (UTC+7), which covers the APAC working day, the morning in the UK and Europe, and the start or end of the day in the US. The founder who scopes the work also builds the agents, so there is no account manager between your team and the engineer, and progress is visible in your own repository and tools.