A mid-sized accounts payable team was drowning in 4,200+ invoices per month. We built an end-to-end AI automation pipeline that extracted, validated, and posted invoices with zero manual intervention — saving £420K per year.
The Challenge
Our client — a 200-person fintech company processing payments for SMEs — had an accounts payable function that hadn't scaled with the business. What worked at 500 invoices per month was collapsing under 4,200. The team was exhausted, errors were mounting, and supplier relationships were suffering.
Manual data entry from 4,200+ invoices per month across 12 supplier formats
Average 3-day processing cycle causing late payment penalties and strained supplier relationships
High error rate (6.2%) requiring costly manual review and correction cycles
No visibility into invoice status, creating bottlenecks in the approval workflow
Finance team spending 60% of their time on data entry instead of value-add analysis
"We were spending more time chasing invoices than analysing our finances. The team was burnt out and we were still making errors. We knew something had to change — we just didn't know AI could fix it this completely."
Our Approach
We built a multi-format document ingestion layer that accepts invoices via email, portal upload, and EDI — automatically routing each to the appropriate processing pipeline.
A fine-tuned LLM extracts all key fields (vendor, amount, line items, tax, due date, PO reference) from any invoice format with 99.4% accuracy — no templates required.
The system automatically matches invoices against purchase orders and goods receipts, flagging discrepancies and routing exceptions to the appropriate approver.
AI-driven routing logic sends invoices to the correct approver based on amount, cost centre, and vendor — with escalation paths for time-sensitive payments.
Approved invoices are automatically posted to the client's SAP instance with correct GL coding, cost centre allocation, and payment scheduling.
A live operations dashboard gives the finance team full visibility into invoice status, processing times, exception rates, and cash flow projections.
Outcomes
Processing time reduced from 3 days to 6 hours — an 87% improvement
Annual cost saving of £420,000 through headcount reallocation and eliminated late payment penalties
Error rate dropped from 6.2% to 0.6% — a 90% reduction in manual corrections
Finance team now spends 85% of time on analysis and strategic work vs. data entry
Supplier satisfaction scores improved by 34% due to faster, more reliable payments
Full audit trail and compliance documentation generated automatically for every invoice
Book a free consultation and let's explore what AI automation could do for your operations.
Services Used