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AiSensy is broadcast-first marketing software. ChatBridge is a full WhatsApp CRM — shared inbox, ticketing, automation — where your own AI model runs conversations.
AiSensy's AI agents can call tools and hit your APIs — but the model is theirs and it's billed per AI message as an add-on. ChatBridge's agent layer is model-agnostic: bring any OpenAI-compatible key, pay your provider directly, and your LLM reads conversation context and acts on contacts, tickets, and your catalogue — gated by an approval queue until its track record earns autonomy.
ChatBridge pairs broadcasts (scheduling, recurring sends, per-recipient failure drill-down) with the service side AiSensy isn't built for: shared team inbox, ticketing pipelines with SLA and escalation, CSAT surveys, drip sequences, and a visual workflow builder with A/B splits.
REST API, outgoing webhooks with response actions, and a hosted MCP server let an external, customer-owned AI agent operate the inbox from Claude, ChatGPT, or any MCP client. AiSensy ships no MCP server — verified across their product navigation in September 2026.
| Capability | ChatBridge | AiSensy |
|---|---|---|
| Customer-facing AI agent model | Any LLM — bring your own key (OpenRouter, OpenAI-compatible) | Their model, billed per AI message |
| MCP server for external AI agents | Included — autonomy-gated sends | |
| Staged AI autonomy (draft → approve → autonomous) with audit trail | ||
| Ticketing pipelines with SLA & escalation | ||
| Broadcasts + recurring + failure drill-down | Broadcasts (their core) | |
| Shared team inbox with tickets, SLA & CSAT | Broadcast-first |
Claims verified September 2026 against AiSensy's public product, docs, and pricing. Spotted something outdated? Tell us and we'll fix it.
Why it's different
Most platforms now ship an MCP server for data access — and keep the customer-facing AI locked to their own model, priced their way. ChatBridge is built the other way around: bring any LLM with your own key, and it runs your live WhatsApp conversations with tool-call access to contacts, tickets, and your catalogue.
Every AI action is logged, drafts go through an approval queue until the model's track record earns autonomy, and ChatBridge has no metered AI revenue to protect — the open agent layer is the business model.
AiSensy is strong at what it was built for: high-volume broadcast marketing and click-to-WhatsApp ad funnels at a low entry price, and their AI agents have grown real capability — tool calling, REST integrations, and human handoff, at one of the cheapest entry points in the market. If broadcasting is the job and you're happy on their model, it's a fair choice — ChatBridge is for teams that also have to answer what comes back, on a model they choose.
FAQ
Every campaign generates replies — questions, complaints, orders. ChatBridge routes those into a shared inbox with assignment, SLA timers, and automation, so the revenue your broadcasts create doesn't die in an unanswered thread.
Yes — your WABA is a Meta asset. Connect it to ChatBridge via Embedded Signup; approved templates sync automatically. See /switch for the walkthrough.
No platform markup. Meta's conversation charges pass through at cost; ChatBridge charges a flat workspace subscription.
Moving from another platform? See the switch guide →
Your WhatsApp number and approved templates move with you — they're Meta assets, not your tool's.
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