Data & decision systems / PROPOSED CONCEPT
Reconciliation workbench.
Explain the difference before closing the record.

The opportunity
A real need.
A considered response.
A mismatch can come from timing, identifiers or missing records. A workbench makes those differences visible and prepares candidate matches with traceable evidence.
Finance teams reconciling records between defined systems.
What would this look like for you?
Ask the architect to connect this concept to your systems, or challenge its assumptions.
The experience
What this could make possible.
Exception explanations
Reviewer decisions
Reconciliation history
Import permitted records
→Apply explicit matching rules
→Inspect unmatched items
→Approve the resolution
Under the surface
The engineering
behind the experience.
Architecture is a starting hypothesis. Discovery and representative tests decide what belongs in the first build.
01Architecture to explore+
- Deterministic matching as a baseline
- Optional model assistance for ambiguous descriptions
- Versioned reconciliation state and access controls
02Integration dependencies+
Accounting system, Payment-provider records, Secure file intake. Confirm access, data ownership, update frequency and failure behaviour during discovery.
03Validation and human control+
Check false matches, unresolved records and the auditability of each decision. Suggestions do not move money, change credit decisions or replace accounting review.
A useful first step
Start small.
Learn something real.
Two sandbox datasets and one reconciliation period with known outcomes.
Evidence to look for
Check false matches, unresolved records and the auditability of each decision.
A boundary to design for
Suggestions do not move money, change credit decisions or replace accounting review.
Proposed scope, not a delivery commitment. Data, permissions, operational constraints and sector requirements need review before implementation.
Connected capabilities
Data Engineering & Decision SystemsBackend, API & Integration EngineeringAI Agents & Workflow AutomationResearch behind the direction
AnthropicBuilding effective agents ↗AnthropicDemystifying evals for AI agents ↗These sources inform technical possibilities. They do not demonstrate a Tomatrix deployment or endorse this proposed product.
From possibility to a conversation
Make this
your starting point.
Add a little context. Preview a practical brief, then keep it for a conversation with Tomatrix.
Built locally from this concept. No AI service is called and nothing is submitted. Please leave out confidential information.
Preview your concept brief
PRODUCT EXPLORATION: Reconciliation workbench Status: Proposed concept — scope and feasibility to be agreed. Our context: To be discussed. Who this could help: Finance teams reconciling records between defined systems. A useful first pilot: Two sandbox datasets and one reconciliation period with known outcomes. What to evaluate: Check false matches, unresolved records and the auditability of each decision. Important boundary: Suggestions do not move money, change credit decisions or replace accounting review. Integrations to explore: Accounting system, Payment-provider records, Secure file intake Concept reference: /products/finance-reconciliation
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