This recipe describes how to use a conversational assistant to turn unstructured interest into clean, routed leads.
Forms are useful but often produce incomplete, inconsistent data. Real-time qualification converts those fields into a short conversation that feels more natural and yields better information. An AI-driven flow can then route leads immediately to the right team.
Configure a lead-qualification AI Skill that defines variables like company_size, region, industry, role, primary_goal, timeline, and current_tools. The skill’s prompt graph should adapt its questions depending on previous answers; for example, only ask current_tools if primary_goal suggests integrations matter.
Ground the skill with flat Topics such as Product-overview, Pricing-basics, Engagement-process, and Eligibility-basics. This ensures that when visitors ask detailed questions (“Can you handle X in region Y?”), the skill responds from approved content instead of inventing capabilities.
Once variables are captured, a routing function can compute target_team and priority_level. Use these values to create or update a lead or contact record in your CRM, attach an AI-generated summary, and assign it accordingly. The summary should mention the primary goal, key constraints, and any special notes gathered by the skill.
For high-value or urgent cases (for example, company_size above a threshold and timeline=urgent), the skill can also create tasks and send notifications to specific Slack channels or email groups. This avoids relying solely on dashboards and helps teams react quickly to important leads.
You can also keep these variables for audience segmentation. Visitors marked as “qualified but not contacted” can see in-app notifications prompting them to schedule a demo, download a deep-dive guide, or visit a tailored landing page. Segments such as “enterprise, new region” can receive different in-app prompts than “SMB, simple use case.”
Conclusion
Real-time qualification and lead routing turns basic inbound interest into structured, actionable leads with minimal friction. By using AI Skills to collect variables, grounding answers in focused Topics, and driving internal tasks and notifications for priority signals, it reduces manual triage and supports more timely, relevant follow-up.
