Kristin Johnson

Product Designer

M.S., Human Factors

LLM-Based Email Agent to Minimize Payment Delays

How an email parsing assistant trained to detect payment-related problems achieved a 90% acceptance rate, reduced customer suspensions by 2%, and delivered major workflow improvements.

GenAI Payment Extraction to Extend Automation & Pipeline

An LLM-based extraction workflow that garnered
6% immediate adoption by the customer base, established the feature as a net new customer entry point, and significantly reduced manual payment breakdown time and time to revenue.

ML-Driven Payment Matching for Faster Time to Revenue

An automated matching algorithm driven by machine learning achieved a ~90% auto-match rate, minimizing manual matching and speeding up revenue recognition cycle times for cash application teams.

Real-Time Clarity & Rapid Issue Resolution in Procurement

This solution was the foundation for an Enterprise 2.0 platform while also opening the door to a new mid-market customer base, achieving improved issue response times and reduced ambiguity regarding ownership at every stage in the order lifecycle.

[Summary in Progress]

Other Work

Cash Flow Performance

This strategic initiative conveyed up-the-chain product value to finance executives. The concept centered on the power of Tesorio’s direct cash flow forecast product paired with invoice and payment-level insight provided by its AR automation functionality.

0→1 Transformation of Supply Chain Program Management

This program management platform transformed a disjointed, often manual process into an online solution for banks managing hundreds of programs and billions in credit, supporting faster program creation, a 35% increase in supplier onboarding speed, and reduced credit risk through entity and matching and de-duplication.

Illuminating Performance Dynamics for Trading Partners

A proof-of-concept supplier scorecard that transformed the network’s operational data into actionable performance analytics, enabling trading partners to see performance dynamics they sensed but couldn’t previously quantify and delivering a shared fact base that gave both parties equal insight and balanced power in negotiations.