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SaaS & Tech / Agencies

White-Label Chatbot Platform for Agencies

Resell branded vertical chatbots to clients in hours. NIVA's multi-tenant admin, full white-label and 250+ personas let agencies launch in any vertical fast.

white-label chatbot agency chatbot platform reseller chatbot multi-tenant chatbot admin branded AI chatbot for clients
24/7
Automated Coverage
0
Developers Required
5
Automation Steps
4
Measurable Outcomes
The Problem
Agencies want to offer AI chatbots but can't justify building per-client bots from scratch, and most platforms charge extra for white-label or lack client isolation.

How NIVA Handles This Automatically

NIVA provides full white-label (name, colours, avatar, configurable "Powered by"), multi-tenant client isolation, and a 250+ persona library so an agency can launch a branded vertical bot per client in hours. BYOK controls AI costs at scale.

Live Conversation Flow
1
Pick a client's vertical from pre-configured domains
2
Subscribe to relevant personas from the library
3
Upload the client's knowledge and configure branding
4
Build flows and forms; embed with one script tag
5
Manage all clients from a multi-tenant admin dashboard

Step-by-Step: What Happens Inside the Chat

Pick a client's vertical from pre-configured domains
Subscribe to relevant personas from the library
Upload the client's knowledge and configure branding
Build flows and forms; embed with one script tag
Manage all clients from a multi-tenant admin dashboard

Before NIVA vs. With NIVA

Real differences your team will feel from day one — not theoretical benchmarks.

Area Before NIVA With NIVA
Build cost per client Weeks of work Hours
White-label Often a paid add-on Included on all plans
Client isolation Often missing Built-in multi-tenant
Vertical coverage Limited 250+ personas, 25 verticals

How NIVA Powers This

Under the hood this maps to NIVA's documented engines. The persona engine handles tone and routing for saas & tech, drawing on a library of pre-trained personas so the agent speaks the language of the domain from day one rather than being trained from scratch. The flow engine runs the conditional steps in the sequence shown above, branching on the visitor's answers so each person follows the path that fits their situation. The smart-form engine surfaces structured fields at the moment intent appears, capturing clean data inline instead of bouncing the user to a separate form. Cross-session memory preserves context so returning users are recognised and never asked to repeat themselves. Finally, webhooks push the completed interaction into your systems of record, and per-persona tool calls can read live data from your APIs mid-conversation wherever an endpoint exists. None of these steps requires writing code; they are assembled in the no-code admin and embedded with a single script tag.
Who Is This For

This works in two directions. As a public-facing agent it engages prospects and customers directly on your website or app; as an internal tool it answers staff questions and runs intake against internal systems. The same engines power both, and which direction you deploy depends only on which knowledge sources and systems you connect. Many saas & tech operators start public-facing for the traffic and conversion upside, then reuse the same build internally.

In practical terms, the shift looks like this: on build cost per client, you move from weeks of work to hours; on white-label, you move from often a paid add-on to included on all plans; on client isolation, you move from often missing to built-in multi-tenant; on vertical coverage, you move from limited to 250+ personas, 25 verticals. Each of these is a direct consequence of moving the interaction from a manual, human-gated channel to an always-available conversational one that still escalates to a person when the situation genuinely needs it.

NIVA Engines Persona Engine Flow Engine Smart Forms RAG Knowledge Webhooks
Implementation Note

Implementation reality: the conversational layer, routing, data capture, and system handoff are all within NIVA's documented no-code capabilities. Where this use case reads or writes live data, it assumes the relevant API or webhook endpoint exists on your side; that integration is the one piece worth scoping before launch. Start with the knowledge base and flow, then layer in live API calls once the core experience is proven.

Frequently Asked Questions

What is a white-label chatbot platform for agencies?
It is a NIVA-powered conversational agent in which nIVA provides full white-label (name, colours, avatar, configurable "Powered by"), multi-tenant client isolation, and a 250+ persona library so an agency can launch a branded vertical bot per client in hours. It runs on your website or app and works around the clock without adding headcount.
How does NIVA build this without code?
You select a pre-trained SaaS & Tech persona, connect your knowledge sources, and assemble the flow and forms in the no-code admin. The example flow on this page can be replicated step by step, and the bot embeds with a single script tag.
Can it connect to our existing systems?
Yes. Completed conversations fire webhooks into your CRM, booking system, or ticketing tool, and per-persona tool calls can read live data from your APIs during the conversation where an endpoint exists.
How quickly can we go live?
Because the SaaS & Tech persona is pre-trained and the engines are no-code, a working version of this use case can be configured and embedded quickly, then refined against real conversations.
Ready to Deploy

Build This for Your Business in Hours, Not Months

No developers. No long setup. NIVA gives you every engine shown on this page — persona routing, flow automation, smart forms, and webhooks — as a ready-to-configure platform.