Git Commit & Ticket Telemetry Pipeline for ASC 350-40 Compliance
1 spreadsheet hazard consolidates into 4 software modules, 3 source integrations, and 2 deterministic controls.
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.
Engineering time is allocated to capitalizable projects from timesheet exports and manager recollection, with no link to the work actually shipped.
Rules & Assertion Engine resolves 1 of 1 selected hazards and should be built first after source systems are connected.
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.
- ERP / General LedgerTrial balance and subledger CSV exports
- Engineering Tools (Tickets / Git / Deploys)Timesheet exports and manager recollection
- Payroll / HRISPayroll register and headcount exports
Git Commit & Ticket Telemetry Pipeline for ASC 350-40 Compliance
A single system replaces the workbook. Shared modules are deduplicated across hazards; each card shows how many of the selected hazards it resolves.
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
Pulls transactions, balances, and master records directly from source-system APIs and file feeds, replacing every manual export.
- Scheduled and webhook-driven API pulls
- Idempotent loads keyed on source record IDs
- Schema validation on every payload
- Read credentials for each source system
- Field mapping per source
- Normalized transaction and master-data tables with source lineage
- Capitalization assertion: labor is capitalized only when linked to a ticket in the application development stage with a merged commit in period.
- Stage gating: hours on tickets outside the application development stage are expensed automatically.
Rules & Assertion Engine
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.
- Versioned rule definitions with effective dates
- Balance, threshold, and completeness assertions
- Pass/fail evidence stored per record
- Normalized records
- Policy thresholds and limits
- Assertion results attached to each record
Automated Ledger Posting
Posts balanced, validated entries to the ERP through its API so nothing is retyped and every entry carries its source lineage.
- Balanced double-entry generation
- Idempotent posting with duplicate suppression
- Subledger-to-GL tie-out on every batch
- Assertion-passed records
- Chart of accounts and mapping rules
- ERP journal entries with source references
Immutable Audit Log
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.
- Append-only event history
- Hash-chained records
- Evidence export for external audit
- Events from every other module
- Audit-ready evidence trail
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.
| Hazard | Software module | Automated control | Result |
|---|---|---|---|
#19CapEx vs OpEx labor capitalization tracked in timesheet exports | Integration & Ingestion Layer | Capitalization assertion: labor is capitalized only when linked to a ticket in the application development stage with a merged commit in period. Stage gating: hours on tickets outside the application development stage are expensed automatically. | Capitalized labor carries timestamped ticket and commit evidence auditors can sample. |
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
Connect source systems
1 of 1 hazards touchedReplace every manual export with an authenticated API or file feed and load it idempotently.
Integration & Ingestion Layer - 2
Normalize and validate records
1 of 1 hazards touchedEstablish canonical entities and encode the control rules the workbook was enforcing by hand.
Rules & Assertion Engine - 3
Automate posting
1 of 1 hazards touchedPost balanced, validated entries to the ERP through its API with source lineage on every line.
Automated Ledger Posting - 4
Publish governed reporting and the audit trail
1 of 1 hazards touchedRelease reports only from reconciled snapshots and hand auditors an append-only evidence log.
Immutable Audit Log
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.
- Rules & Assertion Engine: Changing a rule or threshold requires a documented approval.
- 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.
Scope this blueprint
Leave a work email and we send you this exact blueprint (1 hazard, 4 modules) as a link you can reopen and print. The same link reaches our team, who reply with the two or three questions that turn Git Commit & Ticket Telemetry Pipeline for ASC 350-40 Compliance into a scope for your books.
- No estimate is invented. Effort and payback come after we see your volumes and source systems.
- One email, then a person. No drip sequence.
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