AI Agent Development That Runs Your Operations

EnactOn defines AI agent development services as building autonomous software systems that perceive inputs, make decisions, use tools, and execute tasks, with minimal or no human intervention required.

EnactOn brings 13+ years of engineering experience, 350+ clients, and 500+ delivered projects, ensuring every agent is production-ready, not just a convincing demo.

EnactOn serves healthcare, fintech, e-commerce, education, logistics, legal tech, SaaS, and more, delivering agents to clients across 65+ countries worldwide.

EnactOn's hourly rate is $25 to $49, and most projects start from $5,000. A simple, single-task agent with two or three tool connections typically costs $5,000 to $15,000. A multi-agent system with its own memory and testing usually runs $20,000 to $50,000. A complex agent that handles sensitive data or connects to many systems can cost $50,000 to $150,000 or more. Running the agent each month also costs money, usually $500 to $5,000 or more for the AI model, hosting, and monitoring, and this is priced separately, since it's the cost most people forget to plan for.

At EnactOn, timelines depend on scope and complexity. A narrow, single-task agent moves fastest, while a fuller multi-agent system with custom memory and evaluation takes longer, generally landing in the range confirmed during discovery.

At EnactOn, it depends on agent type. LLM-powered agents need minimal proprietary data. Custom-trained agents require labelled datasets. We assess your data readiness during discovery.

EnactOn draws this distinction clearly: a chatbot follows a scripted conversation tree and responds within fixed boundaries, while an AI agent perceives its environment, reasons about goals, uses tools, and takes real actions with minimal human input. A chatbot answers questions. An agent gets things done.

EnactOn builds safety limits, access controls, and human approval steps directly into how the agent works. Actions with high stakes need a person to say yes before they happen, and every agent is tested for unusual situations and mistakes before it goes live.

You do, and EnactOn hands over full ownership of the agent, its prompts, its configuration, and its data on delivery, with no licensing arrangement that keeps you tied to us.

Yes, and EnactOn regularly works with operations leads and non-technical founders on agent projects, since agents are often bought by operations rather than engineering. We translate business requirements into agent architecture and keep you informed with plain-language updates, not technical jargon.

EnactOn prices ongoing running costs, AI model usage, hosting, and monitoring, separately from the build. Most agents cost $500 to $5,000 or more a month to run, depending on how much the agent is used, and this is where agent projects often surprise people: a fixed build price does not cover the cost of the agent actually running.

Yes, EnactOn regularly takes over agent prototypes built with LangChain, CrewAI, or similar frameworks that will not survive production traffic. We audit the existing logic, evaluation coverage, and failure handling, then harden or rebuild what does not hold up.