AI That Matches Lenders in Seconds and Revives Dormant Leads
As a specialist finance distributor, Crystal matches broker cases to the right lenders across hundreds of criteria. Pinnasys replaced slow manual matching with AI automation that returns ranked lender matches in seconds, at 94% accuracy.
30-45%
Leads reactivated
94%
Match accuracy
The Problem
The Hidden Cost of Manual Matching and Forgotten Leads
Specialist finance matching is detailed work. Each case weighs property type, income source, credit profile, LTV, location, and dozens more variables against hundreds of lender criteria. By hand, that took experienced brokers up to an hour per enquiry.
The follow-up was just as costly. Around 30-45% of leads went dormant when responses lagged, criteria shifted unnoticed, or cases slipped through gaps in manual follow-up. That idle pipeline was lost revenue.
So Crystal needed two fixes at once. First, an AI system to match borrowers to the right lenders instantly and accurately. Second, an automated engine to re-engage dormant leads the moment a situation or a lender's criteria changed.
Our Approach
We Built the Matching Brain and the Reactivation Engine
Pinnasys built two connected AI systems for Crystal. The first is a custom matching engine. It reads lender criteria from every source, understands each borrower profile, and produces instant matches at 94% accuracy.
The second is an agentic reactivation engine. It watches dormant leads, spots when a criteria change or timing trigger makes one viable again, and re-engages it automatically with personalised outreach. Both systems run inside Crystal's existing workflow. Through deep AI integration with Microsoft Teams, brokers match cases and review reactivation prompts without switching tools or learning a new app.
Instant Lender Matching
A custom AI engine checks each case against hundreds of lender criteria. It returns ranked matches with confidence scores in seconds, not the better part of an hour.
Automated Lead Reactivation
Agentic AI watches dormant leads and re-engages them the moment a rate shift, criteria change, or timing trigger makes the case viable. Outreach is personalised, so revived leads feel handled, not spammed.
Live Criteria Monitoring
When a lender updates its rules, the system flags which existing leads now qualify. This decision-intelligence layer alerts the right broker, or triggers automated follow-up before the opportunity passes.
Built Inside Microsoft Teams
Brokers match cases, review reactivation prompts, and approve outreach inside Teams. Deep AI integration means there is no new app to learn and no workflow to change.
From Manual Bottleneck to Always-On Matching
Instant Matching, Dormant Leads Brought Back to Life.
30-45%
Dormant leads reactivated through AI-driven monitoring and outreach
94%
Lender match accuracy across hundreds of criteria dimensions
Seconds
To produce ranked lender matches — down from 30–60 minutes
Auto
Reactivation when criteria changes make dormant leads viable
Managing Director, Crystal — Specialist Finance Brokerage
What This Project Taught Us About AI in Finance?
Dormant Leads Are Not Dead Leads
Once the system caught criteria changes and timing shifts, 30-45% of leads written off as dead came back. Most firms underestimate the revenue sitting idle in their own pipeline.
Accuracy Earns Trust, And Trust Drives Adoption
At 94% accuracy, brokers stopped double-checking the AI within the first week. Below 85%, they would have kept matching by hand. The threshold decides everything.
Build Inside The Workflow, Not Beside It
Since the AI lives in Teams, adoption took no effort. Brokers use the tool they already sit in for eight hours a day, so nothing felt new.
Your Dormant Pipeline Is Worth More Than You Think
The fastest wins come from problems you already know about. Schedule a free consultation and bring your messiest matching or pipeline challenge. We will scope an AI system that works inside your tools and proves itself on your numbers.