Finance
AI Automation
28-day delivery

How a Swiss Bank Eliminated Invoice Backlogs with AI

PVC AI deployed an end-to-end invoice processing automation that cut a 3-day manual review cycle to under 4 minutes — with 94% of all invoices approved autonomously.

94%
Auto-processed
4 min
Cycle time
CHF 2.4M
Annual savings
AP Automation — Live Results
Live
94%
Auto-approved
no human needed
4 min
Cycle time
was 3 days
12×
Faster
same team
0.3%
Error rate
was 12%
CHF 2.4M
Saved / yr
year 1
Live invoice feed
Roche AG — INV-4821 CHF 48,200 Approved
Novartis — PO-9204 CHF 210,500 Matching
ABB Ltd — INV-3317 CHF 76,400 Approved
Client
Confidential — Swiss Private Bank
Industry
Financial Services
Team Size
AP department — 18 staff
Go-Live
28 days from kick-off
Solution
AI Automation — Invoice Processing
Stack
Python, GPT-4o, Laravel, EBICS
The Challenge

A manual process drowning in volume

The bank's AP team processed over 4,000 invoices per month across 200+ vendors. Each required manual data entry, PO matching, approval routing, and ERP posting — taking up to 3 business days per cycle.

3-day average processing cycle causing payment delays
12% duplicate or erroneous invoices slipping through manually
18 AP staff spending 70% of their time on data entry alone
Audit trail gaps creating compliance exposure
Before PVC AI
Processing Time 3 days
Manual Touch Rate 100%
Error Rate 12%
Cost per Invoice CHF 48
After PVC AI
Processing Time 4 min
Manual Touch Rate 6%
Error Rate 0.3%
Cost per Invoice CHF 2.80
The Solution

A four-layer automation pipeline

We engineered a modular AI pipeline that hooks into the bank's existing ERP and EBICS banking connection — no rip-and-replace required.

01
Intelligent Ingestion
Invoices arrive via email, supplier portal, or SFTP. OCR + document AI extracts all fields with 99.4% field accuracy.
OCR Document AI Multi-format Auto-classify
02
PO Matching & Validation
Each invoice is matched against open purchase orders in the ERP. Mismatches trigger a tolerance check; within policy invoices auto-approve.
3-way match Tolerance rules ERP sync Duplicate detect
03
Risk Scoring & Anomaly Flag
A trained classifier scores every invoice for fraud signals, new vendors, unusual amounts, and policy violations.
Fraud detection Anomaly scoring New vendor flag Audit log
04
Approval Routing & ERP Post
Low-risk invoices post directly to the ERP and trigger EBICS payment. High-risk exceptions are routed to the right approver.
Dynamic routing EBICS ERP posting Full audit trail
Technology Stack
Python
GPT-4o
Laravel
EBICS
PostgreSQL
Grafana
AWS Lambda
SOC2 Ready
The Results

Numbers from the first 90 days

94%
Auto-processed
No human in the loop
4 min
Avg. cycle time
Down from 3 business days
12×
Faster throughput
Same headcount
CHF 2.4M
Annual savings
Year 1 projection
0.3%
Error rate
Down from 12%
100%
Audit trail
Every action logged

Performance over time

The system improved continuously after go-live. Auto-approval rates climbed as the model learned vendor patterns.

Week 1
71%
Go-live. Supervised mode.
Week 2
81%
Learning vendor fingerprints.
Month 1
88%
Full autonomous mode activated.
Month 2
92%
Anomaly model tuned.
Month 3
94%
Stable. Compounding gains.
Full ROI Impact Breakdown
Staff time reclaimed 70%
Vendor payment on-time 99.1%
Duplicate invoices caught 100%
Compliance incidents 0 in 90d
Payback period < 4 months
“

We were skeptical. Our AP process had been the same for fifteen years. PVC AI not only replaced it — they built something more accurate and auditable. The ROI was visible within the first month.

CFO
Chief Financial Officer
Swiss Private Bank — Confidential
CHF 2.4M saved / year
How We Delivered It

Live in 28 days

From signed agreement to first autonomous invoice approved — four weeks flat.

Days 1–5
Discovery
  • Process audit & workflow mapping
  • ERP + EBICS integration spec
  • Edge case catalogue & policy rules
Days 6–15
Build
  • OCR + extraction pipeline
  • PO matching logic
  • Risk scoring model training
Days 16–22
Test
  • Shadow mode on 3 weeks of real invoices
  • Accuracy benchmarking vs manual
  • Edge case hardening
Days 23–28
Go-Live
  • Staged rollout — 20% → 50% → 100%
  • On-call engineer standby
  • Real-time monitoring dashboard
Your turn

Ready to automate your most expensive manual process?

Book a free 30-minute audit. We'll identify your top automation opportunity — no obligation.

Schedule Free Audit View All Case Studies
No commitment required Custom ROI estimate included Live in 30 days or less