AI agent development cost depends on several factors, including agent complexity, required capabilities, LLM usage, integrations, data requirements, workflow design, security, deployment, and ongoing maintenance. A simple task-based agent generally costs less than a multi-agent system requiring advanced reasoning, private data access, multiple APIs, and enterprise integrations. Development time, testing, monitoring, infrastructure, and user volume can also affect the total cost.
At Osiz Technologies, we develop AI agents based on specific business requirements, workflows, and integration needs.