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    AI Receptionist Pricing: What It Actually Costs in 2025

    AI receptionist pricing ranges from $50/month for basic off-the-shelf tools to $30,000+ for a custom-built system with full integrations. Here is what drives the price difference and which option makes sense for your business.

    3 min read

    The gap between the cheapest AI receptionist and the most expensive is enormous. You can spend $50 per month on a basic tool or $30,000 on a custom-built system. The difference is not arbitrary — it reflects what you actually get.

    The three tiers of AI receptionist pricing

    Tier 1: Off-the-shelf AI receptionist tools ($50–$500/month). Products like Ruby, Smith.ai, and AnswerForce offer AI-assisted or human-AI hybrid answering services. You get a phone number, basic scripting, and call forwarding. You do not get custom integrations, CRM updates, or EHR connectivity. These work for simple use cases — capturing a name and message. They break down when callers have anything beyond the most basic request.

    Tier 2: Configurable AI receptionist platforms ($300–$1,500/month). Tools like VAPI, Retell AI, and Bland AI let you build a more capable voice agent with custom scripting and some integrations. You pay per minute of call time ($0.05–$0.15/minute) plus the platform subscription. You still need technical setup, and most businesses need a developer or agency to configure it correctly.

    Tier 3: Custom-built AI receptionist ($10,000–$30,000 build + $200–$600/month). A fully custom system built on your real intake scripts, integrated with your actual CRM, calendar, and practice management software. Handles escalation flows, multilingual calls, and complex routing. Monthly costs cover infrastructure, LLM API usage, and monitoring. This is what a specialist AI agency builds.

    What drives the price up

    Custom integrations add the most cost. Connecting to Salesforce, HubSpot, Clio, Epic, or a proprietary booking system requires API development and testing. Each integration takes 20–40 hours of engineering time.

    Call volume affects running costs. At $0.08 per minute average, 500 calls per month averaging 3 minutes = $120/month in API costs. At 5,000 calls per month, that is $1,200/month — still a fraction of a human hire, but worth modelling upfront.

    Compliance requirements (HIPAA, PCI) add scope. HIPAA-compliant deployments require a Business Associate Agreement, specific infrastructure choices, and zero-retention LLM API configuration. This adds 20–30% to the build cost and limits which providers you can use.

    What to ask any vendor before you commit

    First: what integrations are included, and what do additional ones cost? Off-the-shelf tools often charge extra for CRM sync, calendar booking, and EHR connectivity.

    Second: what is the per-minute or per-call cost, and how does pricing change as call volume scales? You want this in writing before you commit.

    Third: who owns the system and the integration code? With custom builds from an agency, you should own everything. With SaaS tools, you own nothing — and if they raise prices or shut down, you start over.

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