---
title: AviaryAI Pricing Model
type: article
created: '2026-04-05'
updated: '2026-04-05'
source_docs:
- raw/2025-12-30-aviaryai-marketing-kickoff-111269995.md
tags:
- pricing
- aviaryai
- sales-enablement
- credit-unions
- voice-ai
layer: 2
client_source: null
industry_context: null
transferable: true
---

# AviaryAI Pricing Model

Pricing structure for AviaryAI's voice agent platform, as discussed during the [[wiki/clients/aviaryai/_index|AviaryAI]] marketing kickoff. Relevant for sales enablement, proposal development, and marketing messaging around cost and ROI.

## Structure Overview

AviaryAI uses a two-part pricing model: a one-time setup fee plus an annual commitment that covers a tiered volume of outbound calls.

### Setup Fee

| Tier | Setup Fee |
|---|---|
| Starter | $5,000 |
| Growth | $5,000 |
| Elevated | $10,000 |

### Annual Commitment (Includes Call Volume)

| Tier | Annual Commitment |
|---|---|
| Starter | ~$35,000 |
| Growth | ~$45,000 |
| Elevated | ~$85,000 |

> **Note:** The commonly cited range of **$40k–$100k** represents the total annual commitment across tiers. Call volume is bundled into the annual fee — there is no separate per-call charge on top of the commitment.

### Volume & Cost-Per-Call Scaling

Higher tiers include greater call volume at a lower cost-per-call. The tiered structure is designed to reward clients who scale usage, making the unit economics more favorable as adoption grows.

## Sales Strategy Implications

- **Entry point:** AviaryAI aims to start most new clients at the Starter or Growth tier (~$40k total outlay) to minimize friction and accelerate time-to-ROI.
- **Upsell path:** Once a client proves ROI on an initial use case, the conversation shifts toward expanding volume and moving up tiers.
- **Decision maker:** Pricing is positioned for business-area owners (COO, CMO, CFO, VP-level) — not IT — who control budget and can approve without a lengthy procurement process. See [[wiki/knowledge/gtm/aviary-gtm-strategy|AviaryAI GTM Strategy]].
- **De-risking the ask:** The 2–4 week deployment timeline and SFTP-based data integration (no IT project required) are used to justify the commitment as low-risk relative to the ROI potential.

## ROI Framing for Pricing Conversations

The pricing is most easily justified against use cases with measurable, direct ROI:

- **Collections:** Revenue recovered from delinquent accounts.
- **System conversions / mergers:** Cost savings from reducing contact center spike (typically ~400% post-merger; AviaryAI clients have seen this reduced to 50–100%).
- **Indirect ROI:** Control group experiments for dormancy reactivation and card activation to measure lift.

For aspirational buyers (AI-curious, not pain-driven), the low barrier to entry and managed deployment are the primary value levers. See [[wiki/knowledge/sales-enablement/aviary-use-cases|AviaryAI Use Cases & Pain Points]].

## Source

Pricing details confirmed by Aaron Grossman during the [[wiki/meetings/2025-12-30-aviaryai-marketing-kickoff|AviaryAI Marketing Kickoff]] call. Full pricing breakdown to be shared via asset pack from Justin Dwyer / Aaron Grossman.