When Two Sources Should Agree — Prove It.
Compare documents with documents, documents with systems, and systems with systems. Tech Tammina Comparison & Reconciliation finds every mismatch, explains it and tracks it to resolution.
What Is Automated Comparison and Reconciliation?
Automated reconciliation uses AI and rules to match records across documents, spreadsheets and systems, identify differences and route exceptions for resolution. Tech Tammina’s solution standardizes data from different sources, applies matching logic and tolerances, and keeps an audit trail of every match, break and correction.
Why Mismatches Hide Between Systems
Statements don’t match ledgers. Schedules don’t match policies. Migrated data doesn’t match the source. Teams export to spreadsheets and compare by hand — every month, every renewal, every audit.
Statements vs ledgers
Figures that should agree rarely do.
Schedules vs policies
Lists drift apart between documents.
Migrated data
Target data doesn’t match the source.
Spreadsheet checks
Manual comparison every month, renewal and audit.
How Automated Reconciliation Works
Connect
Pull data from documents, files, databases and APIs.
Normalize
Standardize names, codes, dates, amounts and identifiers.
Match
Apply exact, fuzzy and rule-based matching with tolerances.
Detect
Find missing, extra and changed records.
Explain
Show why each item matched or broke, with evidence.
Resolve
Assign breaks, track actions and approve corrections.
Record
Keep the full history for audit and reporting.
Reconciliation Use Cases by Function
What You Can Measure
Measure
Reconciliation cycle time
Measure
Unresolved breaks and their age
Measure
Manual matching effort
Measure
Audit findings
Related solutions
Comparison & Reconciliation FAQs
Straight answers to the questions buyers ask most.
What Is Automated Comparison and Reconciliation?
Automated reconciliation uses AI and rules to match records across documents, spreadsheets and systems, identify differences and route exceptions for resolution. Tech Tammina’s solution standardizes data from different sources, applies matching logic and tolerances, and keeps an audit trail of every match, break and correction.
Can it compare a PDF with data in our system?
Yes. Document intelligence extracts the PDF data so it can be matched with system records.
What if names or IDs don’t match exactly?
Fuzzy matching links similar records using scoring rules, and uncertain matches go to a person for review.
Can it validate a data migration?
Yes. It compares source and target data and reports every difference.
Is there an audit trail?
Yes. Every match, break and correction is recorded.
See Comparison & Reconciliation working on your documents.
Book a working session with our team. Bring real samples — we will show you the flow, the controls and the outcomes you can measure.
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