Treasury Data & Reconciliation
How do you turn the data you receive into usable information?
Exploration pathTurn Bank Data Into a Cash Position You TrustShow pathHide▸
- 1Problem
Understand why 'available cash' and 'true available liquidity' aren't always the same number.
- 2Mechanism
Distinguish the data sources and how they need to be structured before they can be compared.
- 3Example
Follow one concrete matching flow end to end — rules, exceptions, and where automation helps.
ARTICLEBank Reconciliation Automation Copilot Series – Part 2: Building the Automation Logic
ARTICLEAutomated Reconciliation Tool
TOOLReconciliation Rules Playground
Tune matching rules against a synthetic bank statement and ERP open-item list — watch matches, ambiguous cases, and unmatched items change live.
- 4Tool
Build your own first pass at automated reconciliation.
- 5Implementation questions
Identify what to clarify about matching rules and exception handling before you rely on the output.
Exploration pathWhy Reconciliation Fails: References, Rules and ExceptionsShow pathHide▸
- 1Problem
Understand what 'available cash' hides when matching breaks down silently.
- 2Mechanism
See why references and data structure — not the matching logic — are usually what's actually broken.
- 3Example
Follow one concrete case of matching logic and exception handling end to end.
- 4Tool
Tune the actual rules and watch which references produce ambiguous or unmatched cases.
- 5Implementation questions
Document your matching key and who owns each type of exception, before you trust the output.
Trapped Cash: How to Reveal True Liquidity in Treasury
Recently, I came across a scenario that illustrates a common treasury challenge: a company planned a $50 million strategic expansion based on $180 million…
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