Configure SaaS Chat for Qualified Demo Requests
Configure an AI assistant to identify a visitor's use case, collect company-size and budget details, and offer product-demo times from your sales team's calendar.
Use Case
Intent Capture
Company
Size Qualification
Routing
Segment Handoff
Calendar
Demo Booking
Built for SaaS Sales Professionals
Configurable AI conversation flows designed around common qualification and booking steps in this industry.
Use Case & Intent Detection
The AI identifies whether the visitor wants a trial, demo, enterprise consultation, or pricing information. High-intent signals like 'enterprise' and 'demo' are scored higher for faster routing.
Company Size Qualification
Company size is a key qualification signal for SaaS. The AI captures team size naturally in conversation, helping your sales team prioritize enterprise leads over individual signups.
Budget & Contract Value
The workflow can collect annual-contract-value expectations and use the stated range as one input for lead routing.
Automatic Demo Booking
Qualified leads are offered demo slots from your sales team's calendar. Prospects with the highest confidence scores get priority scheduling.
Lead Routing by Segment
Route SMB leads to one team and enterprise leads to another. The AI qualifies and routes in real-time based on company size and contract value.
24/7 Global Coverage
SaaS buyers are global. Your AI engages and qualifies prospects in any timezone, ensuring leads from Europe, Asia, and Latin America get the same instant response.
See the AI in Action
This fictional example shows how a configured conversation could unfold with a saas sales lead. It is not a customer transcript or performance claim.
Hey! Interested in [Your Product]? I can help you find the right plan or schedule a demo. What brings you here today?
We're looking for a solution for our sales team. About 50 reps.
50 reps is a great team size! Are you looking for a product demo, or would you like to start with a trial?
A demo would be great. We want to see the enterprise features.
Perfect. Enterprise features include advanced analytics and SSO. What's your approximate annual budget for this kind of tool?
Around $50k annually. We need to decide within this quarter.
Great! Let me set you up with Sarah, our enterprise AE. Available times: 1) Tomorrow at 2 PM ET, 2) Wednesday at 11 AM ET. Which works?
Wednesday at 11 AM works perfectly.
How OnLeads Supports SaaS Sales Workflows
Offer a Conversational Entry Point
Give visitors an alternative to a static form by answering product questions and collecting qualification details in the same conversation.
Qualify Leads Before They Hit Your CRM
Configured CRM records can include company size, use case, budget range, timeline, and conversation context for SDR review.
Give Sales Context Before Follow-Up
Give account executives the visitor's stated needs and budget context before a scheduled demo.
Frequently Asked Questions
How does the AI qualify SaaS leads?
The AI identifies intent (trial, demo, enterprise inquiry, pricing), captures company size, gauges annual contract value, and determines purchase timeline. All through natural conversation that feels like chatting with a helpful sales rep.
Can it route leads to different sales teams?
Yes. The Team plan supports multiple sales reps with automatic lead routing. You can route by company size (SMB vs enterprise), geography, or round-robin across your team.
Does it integrate with our CRM?
OnLeads integrates with HubSpot for automatic contact creation, deal creation, and conversation notes. Webhook integrations are available for other CRMs.
Can I customize the AI's knowledge about our product?
Yes. The Team plan includes a knowledge base where you can add product details, FAQs, pricing tiers, and feature descriptions. The AI references this information when answering prospect questions.
How does demo scheduling work?
The AI connects to your Google Calendar and offers available demo slots to qualified prospects. When they pick a time, the demo appears on your calendar with all qualification data: company size, use case, budget, and conversation history.
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