Overview

Delayed payments are more than just a problem for financial teams — they’re a risk to the business.

Built in-house, Predictex is an AI-powered finance module designed to forecast payment delays before they happen. It empowers teams to act proactively, turning data into early signals and allowing collections to be managed with precision.

The Challenge

What if your finance team could know, with confidence, which invoices are most likely to be delayed?

That was the question behind Predictex. As late payments from high-value clients began to affect cash flow predictability, the finance team needed a way to anticipate risk and take action before issues escalated.

The traditional collections process was reactive: an invoice went overdue, and then follow-ups began. But that cycle left too much to chance, and too much time lost. Without an intelligent, scalable system to prioritize efforts, the business risked increased bad debt and tense customer relationships.

The Solution

We developed a predictive model that analyzes historical invoices and payment behavior to identify which open invoices are at greatest risk of late payment.

The model runs weekly and delivers risk-scored insights directly into Slack, alerting the finance team in real time. This streamlined setup eliminates the need for additional dashboards or manual reviews. Instead, it puts intelligence directly into the team’s daily workflow.

What started as a tool for detection evolved into a decision-making engine, reshaping how the organization handles collections.

Key Outcomes

• Reduction in late payments from high-priority accounts.

• Improved cash flow predictability, enabling better financial planning.

• Faster, more focused collection efforts with less manual overhead.

• Stronger collaboration between Finance and Customer Success teams.

With early signals and seamless integration, Predictex has become a cornerstone of proactive financial operations — and a model for how internal AI solutions can deliver lasting impact.