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Add AI matching to the reconciliation system you already have.

Operartis sits on top of your existing reconciliation system as a lightweight add-on. No migration, no replacement, no retraining your team on new software. Matchimus handles the matches your current rules can't - and gets more accurate over time.

Diagram: rules-based matching at 83% plus Operartis AI matching gives a 96% match rate, cutting manual matching from 17% to 4%

Same workflow. Same team. 60-80% less manual matching.

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What changes for your team

Matchimus handles the post-rules exceptions your team is currently matching by hand. Your team's workload drops - the process, the system and the controls stay exactly as they are.

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It adds AI matching on top of what you already have.

Matchimus connects to your existing reconciliation stack as a lightweight module - on-premise (no special hardware required) or cloud-based. No data migration. No workflow change. No vendor replacement.

Higher match rates. Low integration risk. Auditable results.

Matchimus has passed Tier 1 model governance and security reviews. Every match recommendation is logged with its reasoning - so your compliance team can audit the AI, and your finance director can report on it.

Book your Proof of Value

Tell us about your reconciliation and we'll arrange a run on your data. You'll get an Uplift Report before you commit.

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Key benefits of improving your reconciliation processes with AI:

01.

Discover Your Potential Savings

02.

Quick & Easy Integration

03.

Increased Efficiency

04.

Free Up Your Team

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Higher match rates. Benchmarked against BenchRec.

Test it on your own reconciliation data.

Upload a sample of your reconciliation data to the secure Workbench portal and we'll show you your match rate, MIR and projected saving - before you make any decision.

Measure My AI Uplift
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Why rules-based matching has a ceiling

Rules-based matching degrades as transaction narratives evolve. Every new narrative pattern that doesn't fit an existing rule becomes a manual exception - and over time, those exceptions accumulate.


The result is a team spending 30%+ of their day on manual matching that their system should be handling - work that grows in volume as data complexity increases, not decreases.

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What your team does instead

Matchimus handles the post-rules exceptions automatically. Your team reviews only the genuine edge cases - the ones that actually need a human.


Average manual workload reduction is 60-80% compared to leading rules-based engines. And unlike rules, Matchimus gets more accurate over time - it adapts to new narrative patterns without manual rule updates.

Operartis helps you reconcile more, faster. 

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