How much does an AI integration cost? Get an instant build-cost range, monthly running cost, and timeline for your project. Updates live as you choose.
Instant estimate. Exact scope & price confirmed in a free consultation.
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"How much would an AI integration cost?" is the question that stalls most AI projects, because the honest answer from any agency is "it depends" followed by a request for a call. Meanwhile you cannot write a business case without a number.
This estimator gives you one before you talk to anyone. Five choices produce a build cost range, a monthly running cost, and a timeline, updating live as you adjust.
Seven integration types, and the choice matters more than any other input because the engineering differs fundamentally:
AI Chatbot · RAG / Knowledge Base · Internal Copilot · Document Processing · Voice AI · AI Workflow Automation · Custom AI API
A chatbot answering scripted questions and a RAG system searching your entire document library are not variations of the same build. The retrieval layer, the data pipeline, and the accuracy requirements are all different work.
Scope covers data sources and workflows — the two things that most reliably drive cost upward. Each additional data source means another connection, another format, another set of edge cases.
Build options include whether you need a custom or fine-tuned model, and whether you want self-hosted or managed infrastructure. Self-hosting changes both the build cost and the ongoing bill, usually in opposite directions.
Complexity tier runs Standard (proven patterns), Custom (tailored build), or Enterprise (scale and compliance). The Enterprise tier is not a marketing label — audit logging, access controls, and data residency requirements are real engineering.
Monthly usage — low, medium, or high — drives the running cost, since inference is charged by volume.
The output separates one-time build cost from monthly running cost, and that separation is the most useful thing on the page.
Most people asking about AI integration cost are thinking only about the build. The monthly figure is what catches teams out six months later: model inference, hosting, monitoring, and maintenance continue for as long as the system runs.
A project with a modest build cost and a heavy usage profile can cost more over two years than one with a larger build and light usage. You cannot see that from a single number.
You also get a timeline and a scope summary, plus a downloadable PDF for sharing with whoever approves budgets.
A support team of twelve spends hours daily searching internal documentation for answers. The manager wants to propose a RAG system over their help centre, product docs, and past tickets.
She selects RAG / Knowledge Base, sets three data sources, picks Standard complexity since the pattern is well established, chooses managed infrastructure, and sets usage to medium.
The estimator returns a build range, a monthly figure, and a timeline. She downloads the PDF and takes it to her director with three specific numbers rather than "we should look into AI."
The proposal gets a scoping conversation instead of a shrug — because it read like a project rather than an idea.
Because an honest estimate is a range. "Custom complexity" spans a lot of ground, and every business brings its own legacy systems, data quality problems, and compliance requirements.
The range narrows once someone maps your actual scope. Treat this as the number that tells you whether to have that conversation, not as a quote.
Operations and product leads building a business case. Founders sizing an AI feature. IT managers comparing build against buy. Anyone who needs a figure before a budget meeting. Pair it with the LLM Token Cost Calculator for inference maths and the AI Automation Cost Calculator for process automation. Our AI integrations service delivers these builds — the Brain AI case study shows an agent built inside an existing platform.
You cannot build a business case around "it depends." Set your integration type and scope above, and take a build cost, a monthly cost, and a timeline into your next budget conversation.
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