AI Chatbot Development & Integration Services

An AI chatbot is software that uses a large language model to answer questions in plain language, working from your business data instead of a scripted decision tree. Done well, it answers the questions your customers actually ask. Done badly, it makes things up in your brand’s voice.

That second outcome is why our AI chatbot development services start with scope, not with a widget. We define what the bot is allowed to answer, connect it to the content it should answer from, and set rules for when it hands the conversation to a human. Then we test it against real questions before anyone else talks to it.

We are not reselling a hype cycle. Lumien runs a Claude assistant over its own monday.com CRM and publishes AI news daily through its own Claude pipeline, so every recommendation on this page comes from systems we operate ourselves. When a chatbot is the wrong tool for your problem, we will say so, and usually suggest something cheaper.

Projects start at $4,000 and ship in 4 to 12 weeks, priced by milestone. The work is done by a senior team with 15+ years of combined experience across 60+ shipped projects, and no junior bench.

Every engagement covers six areas. Each one appears in your proposal as a milestone with its own price.

Scoping and use-case selection

We pick the two or three questions the bot must answer well and write down what “well” means. Vague scope is how chatbot budgets die.

Knowledge base and RAG setup

We structure your docs, FAQs, and product data so the model retrieves real answers instead of guessing. This is usually the largest share of the work.

Model selection

We test your use case against several models and pick the smallest one that meets the quality bar. Bigger models cost more every day the bot runs.

Guardrails and escalation

Refusal rules for out-of-scope topics, a clear path to a human, and a test suite of real customer questions the bot must pass before launch.

Integrations

Website embed, CRM, Slack, email, or Google Sheets. If your stack needs custom front-end work, our small business web development team handles it inside the same project.

Monitoring

Usage dashboards, spend caps, and a monthly review of what the bot got wrong. AI chatbot development services that skip this step leave you with a bill and no idea what drove it.

Yes. ChatGPT integration services are the most common request we get, and the OpenAI API (or Anthropic’s, for Claude) makes the connection itself straightforward. The hard part is everything around it: what the model may see, what it may say, and what happens when it is unsure.

Typical integrations we build:

• A website assistant that answers from your actual docs and pricing, not the open internet
• A CRM copilot that summarizes deals, drafts follow-ups, and answers questions about your pipeline
• Slack bots for internal questions: policies, project status, onboarding
• Google Sheets and reporting workflows that turn raw data into a written summary
• Email triage and draft replies, with a human clicking send

This is first-hand territory for us. We built a Claude assistant with durable memory on top of our own monday.com CRM, and our AI newsroom runs on a Claude publishing pipeline every day. If your customer data lives in a CRM that needs cleanup before an AI can use it, our CRM implementation services sort that out first.

Uncontrolled API spend is the quiet failure mode of AI projects. A team ships a proof of concept on the most expensive model, leaves the API key uncapped, and finds out at invoice time.

Every bot we build ships with usage limits, a cost dashboard, and alerts. We route work per task, so a cheap model handles routine questions and the expensive one runs only when the job needs it.

If you already run AI tools and the bill looks wrong, we offer a standalone AI spend audit. We review your usage logs, map cost to features, right-size the models, and set caps and alerts so the next surprise cannot happen silently. Smaller audits run at our hourly rate of $40-95; larger ones get a fixed milestone price.

You get a written report with recommended changes ranked by expected savings and effort. We can implement them ourselves or hand the list to your own developer, whichever costs you less.

Honest answer: sometimes you should build it yourself. If the bot reads one data source, a wrong answer costs you nothing, and someone on staff can maintain it, an off-the-shelf tool set up over a weekend is a perfectly good start.

Hire help when any of these are true: the bot is customer facing, it connects to more than one system, your industry has compliance rules, or nobody will own monitoring after launch. Those are the projects where a cheap start becomes an expensive restart.

We also do plain AI consulting for small businesses: tool selection, vendor evaluation, and a sanity check on quotes you have received elsewhere. Advisory work runs at our published hourly rate of $40-95.

And sometimes the right answer is no chatbot at all. If the real problem is manual data entry, lead routing, or copy-pasting between tools, business process and workflow automation from $750 solves it for a fraction of the price. We would rather sell you the $750 fix that gets used than the $4,000 one that gathers dust.

AI integration starts at $4,000. That covers a scoped chatbot or integration with one primary data source, guardrails, testing, deployment, and a monitoring dashboard.

Three things move the price: the number of data sources and integrations, compliance and data-privacy requirements, and whether you need a custom interface rather than an embed on your existing site. A product-grade AI application with its own front end falls under full custom builds, which start at $20,000.

Pricing is milestone based: you approve a fixed price for each phase before we start it, so there is no open-ended retainer. Most projects ship in 4 to 12 weeks depending on scope.

Related numbers, so you can compare options: automation from $750, CRM setup from $3,000, hourly consulting at $40-95. The full list is on our pricing page, published in the open with no call required to see it.

We reply within 24 hours on business days, and you get a written proposal within 3 business days of a scoping call.