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TrustBank Financial — Automated Invoice Reconciliation at Scale
Erick Machney
7 May 2026
2 min read
How FLYZEO automated TrustBank's invoice reconciliation process — eliminating 30+ hours of weekly manual work and achieving 99.8% accuracy across all transactions.
| CHALLENGE
TrustBank's finance team spent 30+ hours per week manually reconciling invoices against bank statements and ERP records. With 500+ transactions per day, errors were inevitable. Discrepancies were found days after they occurred, causing downstream compliance and reporting issues. Two junior finance staff were dedicated entirely to this task.
SOLUTION
FLYZEO built an AI reconciliation system that runs nightly, matching all transactions automatically, flagging discrepancies and delivering a clean exception report to the finance manager each morning.
Key automations delivered:
- Nightly automated pull of all bank statement transactions and ERP invoice records
- AI matching engine with configurable tolerance rules for timing and amount differences
- Automatic categorisation of matched, partially matched and unmatched items
- Exception report with full context delivered to finance manager at 6am every morning
- Audit trail generation for every transaction — fully compliant with UAE financial regulations
- Integration with existing ERP (SAP) requiring zero changes to current system
TECH STACK: n8n, OpenAI GPT-4o, SAP ERP Connector, Banking API, Google Workspace, PostgreSQL
TIMELINE: Deployed in 10 days
RESULTS
- 99.8% reconciliation accuracy (up from ~94% with manual process)
- 30+ hours per week of manual reconciliation work eliminated
- 2 finance staff redeployed to higher-value analytical work
- Discrepancies now identified within hours instead of days
- Full audit trail available in real time — audit preparation time reduced by 80%
TrustBank's finance team spent 30+ hours per week manually reconciling invoices against bank statements and ERP records. With 500+ transactions per day, errors were inevitable. Discrepancies were found days after they occurred, causing downstream compliance and reporting issues. Two junior finance staff were dedicated entirely to this task.
SOLUTION
FLYZEO built an AI reconciliation system that runs nightly, matching all transactions automatically, flagging discrepancies and delivering a clean exception report to the finance manager each morning.
Key automations delivered:
- Nightly automated pull of all bank statement transactions and ERP invoice records
- AI matching engine with configurable tolerance rules for timing and amount differences
- Automatic categorisation of matched, partially matched and unmatched items
- Exception report with full context delivered to finance manager at 6am every morning
- Audit trail generation for every transaction — fully compliant with UAE financial regulations
- Integration with existing ERP (SAP) requiring zero changes to current system
TECH STACK: n8n, OpenAI GPT-4o, SAP ERP Connector, Banking API, Google Workspace, PostgreSQL
TIMELINE: Deployed in 10 days
RESULTS
- 99.8% reconciliation accuracy (up from ~94% with manual process)
- 30+ hours per week of manual reconciliation work eliminated
- 2 finance staff redeployed to higher-value analytical work
- Discrepancies now identified within hours instead of days
- Full audit trail available in real time — audit preparation time reduced by 80%
Topics
#financial services AI automation
#invoice reconciliation AI
#ERP automation finance
#bank automation AI
#financial ops AI