Integrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly.
Say goodbye to static reports and outdated aging spreadsheets. With Real-Time AR Reporting, you get live visibility into every invoice, payment trend, and follow-up outcome — powered by AI and synced directly with your accounting platform. Know exactly who owes what, who’s most at risk, and when cash is coming in — all from one clean, actionable view.
Because visibility is power — especially when it comes to cash flow.
We know finance teams don’t have time to chase data across platforms. Our Real-Time AR Reporting gives you a living, breathing view of your receivables — so you can make smarter decisions, prioritize the right clients, and spot risks before they become write-offs.
Dynamic AR Aging Reports:
See live breakdowns of what’s due in 0–30, 31–60, 61–90, and 90+ days — with customer-level detail and filters.
Customer Risk Scores:
Each customer is scored based on late payment behavior, current debt load, and responsiveness to follow-ups.
Forecasted Collections:
Predict upcoming cash inflows based on scheduled payments, payment plans, and follow-up outcomes.
Invoice Status Tracker:
See all invoices grouped by stage: Sent, Viewed, Followed-Up, Paid, In Dispute, or In Payment Plan.
Auto-Generated Summaries:
Receive a daily or weekly digest via Slack or email with key metrics, trends, and next steps.
Instantly syncs with your accounting system (QuickBooks, Xero, Sage, etc.)
Continuously monitors all invoices, payment statuses, and follow-up history
Generates real-time reports for AR aging, customer risk scoring, collection success, and payment plan activity
Pushes daily or weekly snapshots to Slack, email, or your dashboard
Uses machine learning to forecast future cash inflows based on historical behavior and current trends
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
