


Free up your reconciliations team from tedious and error-prone post-rules manual matching
Deployed as an add-on module to your existing reconciliation solution, our AI-based matching engine cuts your post-rules manual matching workload by 70%, freeing up valuable team time and accelerating the reconciliations process without replacing your existing solution.
Optimise your reconciliation processes with AI
Manual reconciliations can be a time-consuming and error-prone process. Take the next step and learn how Operartis reconciliation machine learning can help.
Key benefits of improving your reconciliation processes with AI:
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Discover Your Potential Savings
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Quick & Easy Integration
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Increased Efficiency
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Empower Your Team
Empower Your Team
Data quality issues inherent in GL and bank reconciliations can limit rules-based match rates.
This leaves reconciliation teams bogged down by mind-numbing post-rules manual daily matching of thousands of transactions, consuming more than 30% of their day and distracting them from more strategic tasks.
Matchimus uses specialized AI and patented match algorithms to deliver superior match rates, along with auditable explanations, pinpoint accuracy and calibrated confidence.
Average manual match workload reduction is 70% compared to market-leading rules-based matching solutions. With automated monitoring and re-training Matchimus keeps match rates optimal without the constant manual tweaking that is required for maintaining rules based matching.
Optimal match rates, Pinpoint Accuracy, Low risk Integration.
Trusted by Tier-1 US banks (meeting rigorous model governance and security reviews), our powerful AI Add-on is deployed as a lightweight on-prem (no special hardware required) or cloud based seamless add-on to your existing reconciliation solution.
Matchimus avoids the migration risks and workflow disruption associated with rip and solution replacement approaches.
Trusted by Tier-1 US Banks and Global Retailers
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