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Real-Time Open Banking Feed & Deterministic 3-Way Matcher

Bank rec as CSV plus ticks

“Staff accountant spends 4 hours daily ticking off cleared wires against GL line items”

Manifests in Operating cash clearing reconciliations & daily treasury positioning sheet. 1 spreadsheet hazard consolidates into 6 software modules, 2 source integrations, and 2 deterministic controls.

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Golden Door Asset · Solution Blueprint
Real-Time Open Banking Feed & Deterministic 3-Way Matcher
1 spreadsheet hazard consolidates into 6 software modules, 2 source integrations, and 2 deterministic controls.
1 · Executive Summary

What the selected hazards have in common

Every component below traces to at least one selected hazard. No timelines or savings figures are estimated; measurable outcomes require your baseline data.

1
Spreadsheet hazards
6
Software modules
2
Source integrations
2
Deterministic controls
Affected workflows
Month-end close
APQC groups: Treasury Operations
Primary operational bottleneck

Records from two or more systems are compared by eye instead of matched by rule.

Dominant archetype: Continuous API Ingestion & Immutable Ledger
Highest-priority implementation area

Reconciliation & Matching Engine resolves 1 of 1 selected hazards and should be built first after source systems are connected.

Selected hazards (1)
#05Bank rec as CSV plus ticks

Schematic legend

How to read the overlay

Marks name the overlay on this view. Hazard and assertion lines are catalog text for the tell — not a certified control opinion or a compliance attestation.

  • Spreadsheet / Before

    Rose panel and warning mark. Manual workbook pipeline drawn for this tell.

  • Replacement / After

    Emerald panel and shield mark. Catalog software replacement drawn for this tell.

  • 1
    Stage number

    Order of a stage on this overlay. Forensic rails use three stages.

  • ···
    Stage badge

    Uppercase operational label from this tell's schematic. Present only when the overlay supplies one. Not a certified control.

  • Sequence arrow

    Next stage in the drawn flow. Rail plus directional disc.

  • #01
    Tell index

    Directory row number for a selected catalog tell.

  • 2
    Stage hazard count

    How many selected tells sit on that current-state stage.

  • 2/4
    Module coverage

    How many selected tells that software module addresses.

  • 1
    Phase number

    Dependency order in the implementation sequence. Not a calendar.

  • Human review

    Decision the catalog still assigns to a person.

Map this tell opens Advisory with this catalog row.

2 · Current-State Workflow

One spreadsheet pipeline, several failure points

The selected hazards are placed on the stage of the manual workflow where they do their damage. Sources on the left arrive as exports today.

The Spreadsheet Trap (Before)Manual pipeline
Manual exports from
  • ERP / General Ledger
    Trial balance and subledger CSV exports
  • Bank Accounts
    Statement downloads from bank portals
1
Manual Source Exports
Data leaves each system as a download or a retyped list.
2
Spreadsheet Consolidation
Exports are pasted together and computed with hand-maintained formulas.
31 hazard
Manual Review & Approval
People compare, tick, and approve by eye, often over email or chat.
#05Bank rec as CSV plus ticks
4
Posting, Payment & Reporting
Journal entries, payments, filings, and decks are produced from the workbook.
3 · Recommended Software Architecture

Real-Time Open Banking Feed & Deterministic 3-Way Matcher

A single system replaces the workbook. Shared modules are deduplicated across hazards; each card shows how many of the selected hazards it resolves.

Deterministic Architecture (After)Golden Door Standard
Source systems (API / feed)
ERP / General LedgerGL, subledger, and master-data API with journal postingBank AccountsOpen-banking transaction and balance feed
Layer 1 · Ingestion
Integration & Ingestion Layer
1/1 hazards
Pulls transactions, balances, and master records directly from source-system APIs and file feeds, replacing every manual export.
Layer 3 · Validation & Matching
Reconciliation & Matching Engine
1/1 hazards
Matches records across two or more systems on amount, date window, and reference and isolates everything that does not match.
Rules & Assertion Engine
1/1 hazards
Evaluates deterministic control rules on every record before it can proceed, so a failed assertion blocks the transaction instead of a person catching it later.
Layer 4 · Exceptions & Approvals
Exception Management Queue
1/1 hazards
Routes every failed assertion or unmatched item to an owner with the evidence attached, and tracks it to resolution.
Layer 5 · Posting
Automated Ledger Posting
1/1 hazards
Posts balanced, validated entries to the ERP through its API so nothing is retyped and every entry carries its source lineage.
Layer 6 · Reporting & Evidence
Immutable Audit Log
1/1 hazards
Records every load, rule evaluation, approval, and posting in an append-only log so auditors can trace any figure to who did what and when.
4 · Solution Modules

What each component does, and what it needs

Modules are reusable across hazards. Inputs, outputs, enforced controls, and the point where a person still decides are listed for each.

Integration & Ingestion Layer
Layer 1 · Required dependency
1 of 1

Pulls transactions, balances, and master records directly from source-system APIs and file feeds, replacing every manual export.

Capabilities
  • Scheduled and webhook-driven API pulls
  • Idempotent loads keyed on source record IDs
  • Schema validation on every payload
Inputs
  • Read credentials for each source system
  • Field mapping per source
Outputs
  • Normalized transaction and master-data tables with source lineage
Human review: Approving new source connections and field mappings.
Hazards resolved
#05Bank rec as CSV plus ticks
Reconciliation & Matching Engine
Layer 3 · Mapped from selection
1 of 1

Matches records across two or more systems on amount, date window, and reference and isolates everything that does not match.

Capabilities
  • Two-, three-, and multi-way matching
  • Configurable tolerance and date windows
  • Partial and many-to-one match handling
Inputs
  • Normalized transactions from each side of the match
  • Canonical entity IDs
Outputs
  • Matched sets, unmatched items, and variance explanations
Controls enforced
  • Deterministic matching rule: auto-reconciles on exact transaction amount, date window (+/- 2 days), and wire trace ID.
  • Daily cash tie-out: bank balance minus unmatched items must equal the GL cash balance every day.
Human review: Clearing unmatched items that fall outside tolerance.
Hazards resolved
#05Bank rec as CSV plus ticks
Rules & Assertion Engine
Layer 3 · Required dependency
1 of 1

Evaluates deterministic control rules on every record before it can proceed, so a failed assertion blocks the transaction instead of a person catching it later.

Capabilities
  • Versioned rule definitions with effective dates
  • Balance, threshold, and completeness assertions
  • Pass/fail evidence stored per record
Inputs
  • Normalized records
  • Policy thresholds and limits
Outputs
  • Assertion results attached to each record
Human review: Changing a rule or threshold requires a documented approval.
Hazards resolved
#05Bank rec as CSV plus ticks
Exception Management Queue
Layer 4 · Mapped from selection
1 of 1

Routes every failed assertion or unmatched item to an owner with the evidence attached, and tracks it to resolution.

Capabilities
  • Owner assignment by rule and department
  • Aging and escalation timers
  • Resolution codes with required evidence
Inputs
  • Assertion failures and unmatched items
Outputs
  • Resolved exceptions with disposition and approver
Human review: Every exception is dispositioned by a named owner; the system never auto-clears one.
Hazards resolved
#05Bank rec as CSV plus ticks
Automated Ledger Posting
Layer 5 · Mapped from selection
1 of 1

Posts balanced, validated entries to the ERP through its API so nothing is retyped and every entry carries its source lineage.

Capabilities
  • Balanced double-entry generation
  • Idempotent posting with duplicate suppression
  • Subledger-to-GL tie-out on every batch
Inputs
  • Assertion-passed records
  • Chart of accounts and mapping rules
Outputs
  • ERP journal entries with source references
Human review: Period lock and close sign-off remain manual approvals.
Hazards resolved
#05Bank rec as CSV plus ticks
Immutable Audit Log
Layer 6 · Always included
1 of 1

Records every load, rule evaluation, approval, and posting in an append-only log so auditors can trace any figure to who did what and when.

Capabilities
  • Append-only event history
  • Hash-chained records
  • Evidence export for external audit
Inputs
  • Events from every other module
Outputs
  • Audit-ready evidence trail
Human review: Auditors and controllers read the log; no one edits it.
Hazards resolved
#05Bank rec as CSV plus ticks
5 · Control Matrix

Traceability from hazard to automated control

Each selected hazard maps to the module that resolves it, the deterministic rule that replaces the manual check, and the result once the rule is enforced.

HazardSoftware moduleAutomated controlResult
#05Bank rec as CSV plus ticks
Reconciliation & Matching Engine
Deterministic matching rule: auto-reconciles on exact transaction amount, date window (+/- 2 days), and wire trace ID.
Daily cash tie-out: bank balance minus unmatched items must equal the GL cash balance every day.
Cleared items match without a person ticking them; only genuine breaks reach the queue.
6 · Implementation Sequence

Dependency order, not a calendar

Phases follow module dependencies: nothing downstream is built before the data it needs is flowing. Durations depend on your systems and are scoped in the diagnostic.

  1. 1
    Connect source systems
    1 of 1 hazards touched

    Replace every manual export with an authenticated API or file feed and load it idempotently.

    Integration & Ingestion Layer
  2. 2
    Normalize and validate records
    1 of 1 hazards touched

    Establish canonical entities and encode the control rules the workbook was enforcing by hand.

    Rules & Assertion Engine
  3. 3
    Reconcile and schedule
    1 of 1 hazards touched

    Run matching and period schedules from source data so variances surface as exceptions, not surprises.

    Reconciliation & Matching Engine
  4. 4
    Route exceptions and approvals
    1 of 1 hazards touched

    Move every review and sign-off out of email and chat into owned queues with recorded decisions.

    Exception Management Queue
  5. 5
    Automate posting
    1 of 1 hazards touched

    Post balanced, validated entries to the ERP through its API with source lineage on every line.

    Automated Ledger Posting
  6. 6
    Publish governed reporting and the audit trail
    1 of 1 hazards touched

    Release reports only from reconciled snapshots and hand auditors an append-only evidence log.

    Immutable Audit Log
7 · Where People Still Decide

Human approval points the system preserves

Deterministic software removes re-keying and eyeballing. It does not remove judgment; these are the decisions that stay with your team.

  • Integration & Ingestion Layer: Approving new source connections and field mappings.
  • Reconciliation & Matching Engine: Clearing unmatched items that fall outside tolerance.
  • Rules & Assertion Engine: Changing a rule or threshold requires a documented approval.
  • Exception Management Queue: Every exception is dispositioned by a named owner; the system never auto-clears one.
  • Automated Ledger Posting: Period lock and close sign-off remain manual approvals.
  • Immutable Audit Log: Auditors and controllers read the log; no one edits it.
Golden Door Asset · Deterministic Financial Software
Blueprint: goldendoorasset.com/database/blueprint/bank-recMap: goldendoorasset.com/advisory?problems=core-05
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