AI agency pricing generally falls into two patterns: subscription-based off-the-shelf apps that run $100 to $300 a month, and tailored, custom-built systems priced as a one-time project, typically $2,500 to $10,000 depending on scope. Which one applies depends on how specific your processes are and how deeply the system needs to connect to your existing software. There's no single industry-wide rate, because agencies differ enormously in what counts as "full service."
Two pricing models dominate the market. Generic AI tools, such as receptionist apps, chatbot builders, and scheduling assistants, are sold as software subscriptions, usually $100 to $300 a month, because the product is identical for every customer and the vendor's main cost is hosting and support. A custom-built automation, designed around your specific workflow, calendar, CRM, and edge cases, is more often priced as a project: a one-time build fee in the $2,500 to $10,000 range, sometimes with a smaller monthly fee afterward for hosting, monitoring, or updates. Within that custom-build range, price scales with how many systems you're automating, how many third-party tools it has to talk to, and how much decision logic it needs. A simple call-answering agent costs less than one that also qualifies leads, checks live calendar availability, and writes back to a CRM. Industries with compliance requirements, such as healthcare or finance, tend to cost more because of the extra engineering and review that goes into handling sensitive data correctly. The number by itself doesn't tell you whether a quote is fair. A $3,000 system that saves ten hours a week of admin time or captures leads that were previously lost pays for itself quickly. A $10,000 system automating a process you rarely use is a bad deal regardless of the price tag. Cost is best weighed against the time or revenue it's expected to recover, not compared against some abstract market rate.
Key takeaways
- Off-the-shelf AI apps typically cost $100 to $300 a month in subscription fees.
- A custom-built automation is usually priced as a one-time project fee, commonly $2,500 to $10,000.
- Price scales mainly with the number of integrations and the amount of decision logic required, not with company size.
- Industries with compliance requirements, like healthcare or finance, typically cost more due to additional engineering and review.
- The right way to judge a price is against the time or revenue the system is expected to recover, not against a flat market rate.
What actually drives the price
Within either pricing model, a handful of factors move the number: the number of third-party tools the system has to integrate with, how much branching decision logic it needs (qualifying a lead is more complex than reading back a business's hours), expected call or task volume, and whether the industry carries compliance overhead like HIPAA. A single-purpose agent that just answers FAQs and takes messages sits at the low end. One that checks live availability, books directly into a calendar, and updates a CRM record sits higher.
Subscription tool versus custom build
A subscription app is fast to start, cheap, and requires no build time, but customization and integration depth are limited to whatever the vendor built for everyone. A custom build costs more up front and takes longer to launch, but it's shaped around your exact process, integrates deeply with the tools you already run, and the business typically owns the finished system rather than renting access to a shared product.
How to read a quote
Before comparing numbers across agencies, ask what's actually included: design, build, testing, integration with your existing tools, staff training, and post-launch support, or just the build. Ask whether the price is fixed or hourly, since hourly work has no built-in ceiling. It's also reasonable to ask for a smaller pilot project before committing to a larger scope, so you can judge the quality of the work before scaling the spend.
Answered by Alex Rivera, Founder · Updated July 24, 2026