Protect your cash flow with machine-speed invoice intelligence.
Delayed payments and disputed invoices are rarely random — they follow patterns your data already contains. But without a model watching for those patterns, AR teams prioritise by gut feel, disputed invoices reach customers with errors intact, and days sales outstanding climbs.
The cost compounds: every day an invoice sits unpaid is working capital your business doesn't have. Every dispute that could have been prevented is a relationship friction your team had to absorb.
Historical payment timing & pattern · Invoice value vs. contracted terms · Customer dispute history · Invoice conformity against contract conditions · Communication & response behaviour · Account age & credit profile changes
We train models on your invoice and payment history to score each customer on payment delay probability — segmented by account, invoice type, and value band.
Before invoices reach customers, automated checks validate them against contracted terms — catching mismatches in pricing, scope, or format that predictably trigger disputes, before they cause damage.
Risk scores, prioritised account lists, past-communication summaries, and guided outreach scripts are delivered via Power Platform dashboards — replacing manual spreadsheet triage with intelligent prioritisation.
Actual payment outcomes feed back into the model continuously — improving accuracy as your customer base and billing practices evolve over time.
A global industrial services company deployed payment-risk models and pre-dispatch invoice conformity checks — reducing DSO across key segments and generating $1.8M in its first quarter of deployment.
Read the case study →The most impactful element was catching invoice errors before dispatch. Preventing a dispute costs a fraction of resolving one — and the model identified conformity risk patterns that the AR team had no systematic way to spot manually.
Share your invoice and payment data and we will model the opportunity before any engagement begins.
Model my receivables risk