How to Price AI Employees: What Actually Drives the Cost

"How much does an AI Employee cost?" doesn't have a single honest answer, because the real drivers of cost aren't fixed — they scale with what you're actually asking the AI Employee to do. It's worth understanding those drivers before comparing numbers between vendors, since two very different setups can both be called "an AI receptionist."

Channels are the first driver

A single AI Employee answering only voice calls is a different cost than one covering voice, WhatsApp, email, and web chat at once. Each additional channel adds infrastructure and usage cost — more conversations handled, more integrations maintained. That's why pricing is usually structured around how many channels are included, not just "one AI Employee" as a flat concept.

Usage volume is the second driver

Voice minutes and message counts are the closest thing to a direct cost driver: a business fielding a few hundred calls a month has a fundamentally different usage profile than one fielding several thousand. Plans typically include a set volume of AI voice minutes and AI messages per month, with overage billed per unit beyond that — so cost tracks actual usage rather than a flat guess.

Workflow complexity is the third driver

An AI Employee that only answers questions and takes messages is simpler to configure and run than one that qualifies leads through a multi-step workflow, books real appointments against live calendars, or handles handoff-and-approval steps for sensitive actions. More workflows, more integrations, and more governance (audit logs, role-based permissions, approval steps) all add setup and ongoing cost.

Number of AI Employees and seats

Most organizations don't stop at one — a receptionist, a sales qualifier, and a support agent are often three separate AI Employees, each with its own role, memory, and channel presence, even if they share the same knowledge base underneath. Pricing scales with how many AI Employees you're running and how many human users need accounts to supervise them.

Deployment requirements

Cloud SIP trunk integration is the standard, no-hardware-required path. Organizations that need on-premise call handling, private network isolation, or custom compliance workflows (common in regulated or public-sector contexts) require additional infrastructure — an optional on-site appliance, custom data retention, or dedicated deployment — which sits at a different pricing tier than a standard cloud setup.

What this actually looks like

On our own pricing page, this shows up as four tiers — Starter, Growth Team, Business, and Enterprise/Government — that scale along exactly these dimensions: number of AI Employees, channels included, voice minutes and messages included, workflow count, and governance features like audit logs and role-based permissions. Usage beyond included limits is billed at published overage rates, and telecom, WhatsApp provider fees, SIP trunk charges, and on-premise hardware are billed separately unless bundled into a custom contract. Enterprise and government deployments — the ones needing 10+ AI Employees, private/on-prem deployment, or custom compliance workflows — are quoted directly rather than fixed to a published number, since the cost genuinely depends on the specific requirements.

What to actually evaluate

When comparing AI Employee pricing across vendors, ask what's actually included in the number you're being quoted: How many channels? How many voice minutes and messages before overage kicks in? Is workflow complexity capped, or does it require a custom quote past a certain point? Is there a setup fee on top of the monthly rate? A quote that looks cheaper in isolation can be more expensive in practice once usage, channels, and workflow complexity are accounted for — the honest comparison is dimension by dimension, not headline number to headline number.

See the full pricing page for exact plan details, included usage, and overage rates.

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