Financial Reconciliation
10,000 transactions matched. Discrepancies flagged. Before you finish your morning coffee.
The Problem
- • Manual reconciliation takes 3–5 days per reporting cycle.
- • Human error in matching leads to missed discrepancies and audit findings.
- • High transaction volumes make 100% matching impossible manually.
- • Month-end close delays cascade into late financial reporting.
What This Blueprint Does
FinRecBot, your AI Reconciliation Analyst, matches thousands of transactions across bank and ledger data in minutes. She flags discrepancies, generates exception reports, and routes findings for human sign-off.
- → Pulls transactions from bank APIs and internal accounting systems.
- → Performs fuzzy matching on amount, date, and reference fields.
- → Generates structured exception reports with variance details.
- → Writes final reconciliation to your accounting system and sends Slack summaries.
Workflow Architecture
Bank Data Ingestion
AutonomousREST API Connector pulls transactions from bank API.
Employee: FinRecBot — Reconciliation Analyst
Ledger Data Ingestion
AutonomousSQL DB Connector queries internal accounting database.
Employee: FinRecBot
Matching & Scoring
AutonomousFuzzy match on amount, date, reference. Confidence scored per row.
Employee: FinRecBot
Discrepancy Report
AutonomousGenerates structured exception report — flagged rows with variance detail.
Employee: FinRecBot
Human Sign-off
Human ReviewFinance lead reviews flagged exceptions. Approves reconciliation.
Reviewer: Human Analyst
Export to Accounting
AutonomousWrites final reconciliation to accounting system. Sends Slack summary.
Employee: FinRecBot
Blueprint Details
AI Employee: FinRecBot
FinRecBot
Reconciliation Analyst