Chatzy
Summary
Customer conversations fragment across WhatsApp, web chat, voice, and Instagram — and most platforms make you stitch them together manually, losing context every time a customer switches channels. Chatzy is built to close that gap.
The vendor describes a unified inbox where AI agents handle inbound and outbound conversations across WhatsApp, voice, web, Instagram, Messenger, and Telegram — with customer history following the thread, not the channel. Agents are trained on business data pulled from URLs, PDFs, Google Sheets, and Shopify catalogs, then deployed to handle sales qualification, support, and follow-up without a human in every loop. Multi-agent squads with auto-routing let teams assign different agents to different intents, and escalation rules hand off to humans based on intent, sentiment, or SLA breach. The platform is cloud-only — no self-hosted option — which means your conversation data lives on Chatzy's infrastructure. Teams with strict data residency requirements will hit that wall before they hit any feature ceiling.
Bottom line: Pick this for an SMB that needs WhatsApp-first AI support and lead qualification running across channels inside a single inbox — and plan a different architecture if your compliance team requires on-premise data control or you need to inspect and version the underlying agent logic yourself.
Pricing Plans
Subscription- Price
- $49/month
Starter
2 channels, 5 agents, basic automation
- Any 2 channels
- 5 team seats
- Email support
Growth
All 6 channels, 10 agents, advanced features
- All 6 channels
- 10 team seats
- WhatsApp chat support
Advanced
Unlimited limits, dedicated success manager
- All 6 channels
- 15 team seats
- Account manager support
Enterprise
Dedicated infrastructure and custom SLAs
- Unlimited everything
- SOC 2 Type II, GDPR, SSO/SAML
- 99.9% SLA
View full pricing on chatzy.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Single inbox across WhatsApp, voice, web, Instagram, Messenger, and Telegram — so customer history survives channel switches and agents never answer without context from the previous interaction.
- Knowledge base connects to live sources — website URLs, Shopify catalogs, Google Sheets, uploaded PDFs — which means agents stay current when your product catalog or policy changes, without a manual retraining step.
- Multi-agent squads with intent-based auto-routing, so a sales qualification agent and a support agent can run in parallel without a human dispatcher deciding which queue to use.
- Configurable escalation rules triggered by intent, sentiment, or SLA breach, so human agents step in at the right moment rather than reviewing every conversation.
- API available, so teams can pipe Chatzy into existing CRMs or ops tooling rather than treating it as a standalone island.
Cons
Sign in to edit- No self-hosted deployment option — conversation data, including customer PII, lives on Chatzy's cloud infrastructure. Teams in financial services, healthcare, or any market with strict data residency mandates cannot satisfy compliance requirements with this setup and will need to evaluate on-premise alternatives before a procurement conversation gets far.
- The vendor page does not describe access to agent decision logs, versioning, or explainability tooling. When an agent misqualifies a lead or escalates incorrectly at volume, debugging requires working through support rather than inspecting the logic directly — a friction point that compounds as agent squads grow.
- WhatsApp broadcast campaigns and comment handling depend on Meta's API policies and rate limits, which sit outside Chatzy's control. Teams that build core acquisition workflows on WhatsApp broadcasts are exposed to policy changes that can break campaigns with no warning from the tool itself.
About
- Platforms
- Web, WhatsApp, Voice, Instagram, LinkedIn
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-08-16T11:46:43.576Z
Best For
Who it's for
- SMBs and enterprises needing WhatsApp and voice AI agents
- Companies automating customer lifecycle workflows
- Teams requiring omnichannel inbox with human escalation
What it does well
- Lead qualification and follow-up automation
- 24/7 customer support across messaging and voice
- WhatsApp broadcast campaigns and comment handling
- Multi-agent squads with auto-routing
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is Chatzy free?
- Chatzy is a paid tool ($49/month). A 14-day free trial is available.
- Is Chatzy open source?
- No — Chatzy is a closed-source tool. Source code is not publicly available.
- Does Chatzy have an API?
- Yes. Chatzy exposes a developer API. See the official documentation at https://chatzy.ai for details.
- What platforms does Chatzy support?
- Chatzy is available on: Web, WhatsApp, Voice, Instagram, LinkedIn.
Curated lists that include this category
Channel switches erase customer history
Conversations split across WhatsApp, voice, web, Instagram, Messenger, and Telegram, and most tools require manual stitching that drops context with every change.
Unified inbox with trained agents
Chatzy places all channels in one inbox so AI agents handle inbound and outbound messages while customer history stays attached to the thread. Agents pull training data from URLs, PDFs, Google Sheets, and Shopify catalogs and then manage sales qualification, support, and follow-up tasks.
Routing and handoff
Multi-agent squads apply auto-routing by intent. Rules send conversations to humans on specific triggers such as intent, sentiment, or SLA breach. Live connections to the listed data sources keep agent knowledge current when catalogs or policies change.
The single inbox and live sources remove the need to rebuild context or retrain after every update.
Who it is for / who should skip it
SMBs and enterprises that want WhatsApp and voice agents plus an omnichannel inbox with human escalation match the stated best fit. Teams automating lead qualification, 24/7 support, and broadcast campaigns can use the listed features directly. Skip the tool if data must stay on-premise or if teams need agent decision logs for audits, since the vendor offers only cloud deployment and does not describe access to those logs.