Comparison & Reconciliation

Tech Tammina's AI and intelligent automation services embed Agentic AI, document intelligence and decisioning into enterprise workflows, with human oversight built in.

What's included

20–40%

Reduction in
manual workflow load

Mid-market SaaS · 6–8 week deployment

Quick answer

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.

Our standard
Match records across documents, files and systems
Apply matching logic and tolerances
Keep an audit trail of every break

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.

01
Statements vs ledgers

Figures that should agree rarely do.

02
Schedules vs policies

Lists drift apart between documents.

03
Migrated data

Target data doesn’t match the source.

04
Spreadsheet checks

Manual comparison every month, renewal and audit.

How it works

How Automated Reconciliation Works

Connect → Normalize → Match → Detect → Explain → Resolve → Record

Step 01
Connect

Pull data from documents, files, databases and APIs.

Step 02
Normalize

Standardize names, codes, dates, amounts and identifiers.

Step 03
Match

Apply exact, fuzzy and rule-based matching with tolerances.

Step 04
Detect

Find missing, extra and changed records.

Step 05
Explain

Show why each item matched or broke, with evidence.

Step 06
Resolve

Assign breaks, track actions and approve corrections.

Step 07
Record

Keep the full history for audit and reporting.

Reconciliation Use Cases by Function

Insurance

Commission and carrier statements, direct-bill, schedules vs policies

Finance

Bank, vendor and intercompany reconciliations

Operations

Orders vs invoices, inventory vs records

Data programs

Data migration validation, system-to-system checks

Compliance

Registered vs operational data, contract vs delivery

Outcomes

What You Can Measure

Reconciliation cycle time
Unresolved breaks and their age
Manual matching effort
Audit findings

Stop Reconciling in Spreadsheets

Our stack

What clients say

Reconciliation FAQs

Yes. Document intelligence extracts the PDF data so it can be matched with system records.

Fuzzy matching links similar records using scoring rules, and uncertain matches go to a person for review.

Yes. It compares source and target data and reports every difference.

Yes. Every match, break and correction is recorded.