---
title: 'Advintro: AI-Driven Lead Routing & Qualification Workflow'
type: knowledge
created: '2026-04-05'
updated: '2026-04-05'
source_docs:
- raw/2026-03-04-complimentary-strategy-session-matt-rossiter-127212711.md
tags:
- crm-automation
- lead-scoring
- lead-routing
- qualification
- ai
- fintech
- advintro
- conversion
layer: 2
client_source: null
industry_context: null
transferable: true
---

# Advintro: AI-Driven Lead Routing & Qualification Workflow

## Overview

During a discovery call with Matt Rossiter of [[wiki/clients/advintro/_index|Advintro]], a key constraint surfaced: Advintro's small sales team cannot handle unfiltered inbound volume. Their deliberate low web visibility was partly a workaround for this capacity problem. The proposed solution was a progressive qualification form with AI-driven lead scoring that routes incoming leads into tiers — ensuring the sales team only touches high-fit prospects while lower-priority leads are handled through automation.

This pattern is broadly applicable to any client operating a two-sided or relationship-gated business model where sales capacity is a bottleneck.

---

## The Problem This Solves

When a business increases its digital presence and inbound traffic, it risks overwhelming a small or relationship-focused sales team with unqualified leads. Without a filtering mechanism:

- Sales reps spend time on low-fit prospects
- High-value leads may be delayed or missed
- The business resists investing in traffic growth because it fears the operational consequences

A tiered routing workflow decouples traffic volume from sales workload by automating triage.

---

## Workflow Design

### Step 1: Progressive Qualification Form

Deploy a multi-step form on the website that gathers enough information to score the lead without creating friction. Questions should be tailored to the business model. For Advintro's two-sided platform (fintechs seeking distribution + RIAs seeking tools), example questions include:

- Are you a fintech or a financial institution (RIA/bank)?
- What is your AUM range / stage of company?
- What problem are you trying to solve?
- What is your timeline for making a decision?
- Have you worked with an outsourced sales or distribution partner before?

The form should feel consultative, not bureaucratic — framing it as "help us point you in the right direction" rather than a gatekeeping exercise.

### Step 2: AI-Based Lead Scoring

An AI scoring layer evaluates responses against a defined ideal customer profile (ICP) and assigns a tier:

| Tier | Criteria | Action |
|------|----------|--------|
| **Tier 1** | Strong ICP fit, clear need, decision-making authority, near-term timeline | Route directly to sales for immediate outreach |
| **Tier 2** | Partial fit or longer timeline; worth nurturing | Enter email automation sequence |
| **Tier 3** | Low fit, early stage, or outside target segment | Add to database; minimal active effort |

Scoring logic should be revisited quarterly as the ICP evolves.

### Step 3: Routing & Automation

- **Tier 1 → Sales queue:** CRM task created, rep notified, target response within 24 hours
- **Tier 2 → Email nurture:** Automated sequence delivers relevant content (case studies, white papers, product spotlights) over 4–8 weeks; re-scores on engagement signals
- **Tier 3 → Database maintenance:** Tagged and suppressed from active outreach; eligible for periodic broadcast campaigns

---

## Implementation Notes

- **Platform fit:** This workflow pairs well with tools like HubSpot, ActiveCampaign, or a lightweight CRM + form stack (e.g., Typeform + Zapier + Mailchimp). For Advintro specifically, integration with their existing [[wiki/knowledge/martech/wealthreach-visitor-identification|WealthReach]] visitor identification setup would enrich lead records before scoring.
- **Two-sided platforms:** When the business serves two distinct audiences (e.g., fintechs and RIAs), the form should branch early based on visitor type and apply separate scoring models for each segment.
- **Capacity-aware design:** The Tier 1 threshold should be calibrated to the sales team's actual capacity. If a team can handle 10 qualified calls per week, the scoring cutoff should be set to produce roughly that volume — not more.

---

## Connection to 80/20 Fintech Portfolio Analysis

This workflow complements the [[wiki/knowledge/strategy/80-20-portfolio-analysis|80/20 fintech portfolio optimization]] concept raised in the same session. If Advintro narrows its active fintech portfolio to the highest-revenue 20%, the qualification form can be updated to prioritize leads most relevant to those fintechs — further tightening the signal-to-noise ratio for the sales team.

---

## Client Context

This workflow was proposed to [[wiki/clients/advintro/_index|Advintro]] (Matt Rossiter) during a strategy session on 2026-03-04. Matt acknowledged the concept positively and indicated he would discuss it with Chuck (Advintro's marketing lead). The proposal was part of a broader AAG engagement that also included domain authority improvement and website conversion optimization.

See also: [[wiki/meetings/2026-03-04-advintro-strategy-session|Meeting: Advintro Strategy Session (Matt Rossiter)]]