How much does it cost to build an AI solution?

Measured in in-house engineering time at US median wages, a production AI chatbot costs roughly $50K to $130K, a custom machine learning model $145K to $385K, an AI agent system $255K to $770K, and a full AI platform $1.15M or more. Outsourced builds of the same scope typically land somewhat lower, though vendor rates vary widely. Data readiness and integration depth move a project up or down these tiers.

How much does AI chatbot development cost?

A chatbot on a hosted large language model with retrieval over your documentation typically takes a team of 2 to 3 people 6 to 12 weeks, about $50K to $130K in in-house-equivalent engineering cost, or roughly $43K to $115K outsourced. Chatbots that take actions in other systems, such as issuing refunds or updating orders, cost more.

Why do AI development cost estimates vary so much?

Most estimates quote a single number without stating the data work, integrations, and risk controls behind it. Two projects with the same description can differ several-fold once you account for data quality, the number of systems involved, and how much error the use case can tolerate.

What are the ongoing costs of an AI system?

The three recurring lines are inference or API usage, monitoring and retraining, and machine learning operations overhead. Inference scales with volume and model choice, while monitoring and operations scale with how many models and integrations you run.

How long does it take to get an accurate AI cost estimate?

A discovery phase usually takes 2 to 6 weeks and produces a prioritized scope, an architecture outline, integration notes, a roadmap, and effort ranges. It prices your actual data and systems, which is why it is more reliable than a generic calculator.

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Practical insights on software development, AI and digital transformation from Redwerk’s engineering experts.

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