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Construction

Construction RFI & Quote Request Chatbot

Capture project enquiries and RFIs inline. NIVA collects scope details, routes by trade or region, and pushes structured requests to your team.

construction chatbot RFI bot quote request chatbot contractor lead capture construction enquiry automation
24/7
Automated Coverage
0
Developers Required
5
Automation Steps
4
Measurable Outcomes
The Problem
Contractors lose project enquiries to slow follow-up, and RFIs arrive as unstructured emails that are hard to triage and route.

How NIVA Handles This Automatically

A construction persona answers service and capability questions from a knowledge base, the Flow Engine captures project scope and RFIs via Smart Forms, branches by trade or region, and fires a webhook to the estimating team.

Live Conversation Flow
1
Trigger: "quote", "RFI" or project question
2
Form: project scope, location, timeline
3
Condition: branch by trade or region
4
Webhook: send structured request to estimating
5
Confirm: reply with a reference

Step-by-Step: What Happens Inside the Chat

Trigger "quote", "RFI" or project question
Form project scope, location, timeline
Condition branch by trade or region
Webhook send structured request to estimating
Confirm reply with a reference

Before NIVA vs. With NIVA

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

Area Before NIVA With NIVA
Enquiry follow-up Slow Instant capture
RFI structure Unstructured email Standardised form
Routing Manual By trade or region
Lead loss High Reduced

How NIVA Powers This

Under the hood this maps to NIVA's documented engines. The persona engine handles tone and routing for construction, 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 construction 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 enquiry follow-up, you move from slow to instant capture; on rfi structure, you move from unstructured email to standardised form; on routing, you move from manual to by trade or region; on lead loss, you move from high to reduced. 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 construction rfi & quote request chatbot?
It is a NIVA-powered conversational agent in which construction persona answers service and capability questions from a knowledge base, the Flow Engine captures project scope and RFIs via Smart Forms, branches by trade or region, and fires a webhook to the estimating team. 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 Construction 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 Construction 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.