Audit order to cash bridge integrity

What it's for

Shows exactly where booked business stops becoming recognized revenue, a valid invoice, a receivable or cash—before leadership trusts growth and runway dashboards.

What you give it

Inputs split into evidence read from your connected systems, calibration your team owns, and numerical controls that affect precision but never the result's meaning.

{
  "period_bridges": [
    {
      "bad_debt_writeoffs": 1,
      "cash_collected": 14,
      "contract_scope_reductions": 2,
      "credit_memos": 1,
      "evidence_verified": true,
      "gross_billings": 18,
      "id": "saas-quarter-0",
      "new_bookings": 20,
      "opening_accounts_receivable": 30,
      "opening_net_contract_liability": 20,
      "opening_remaining_performance_obligation": 100,
      "period_index": 0,
      "reported_closing_accounts_receivable": 32,
      "reported_closing_net_contract_liability": 22,
      "reported_closing_remaining_performance_obligation": 103,
      "revenue_recognized": 15,
      "stream_id": "saas-usd"
    }
  ]
}

What you get back

This is the actual output of running the example above — computed by the same function the platform calls, not an illustration.

{
  "configuration": {
    "maximum_absolute_reconciliation_error": 0.01,
    "maximum_relative_reconciliation_error": 0.001,
    "net_contract_liability_sign": "positive_liability_negative_contract_asset"
  },
  "decision": "order_to_cash_bridge_supported",
  "guardrails": [
    "Finance owns booking, performance-obligation, recognition, billing, credit, write-off and cash perimeters.",
    "The signed contract position is not deferred revenue alone; negative values represent a net contract asset.",
    "Engineering activity, CRM stage, invoice creation and platform attribution cannot substitute for ledger evidence."
  ],
  "method": "order_to_cash_rpo_contract_position_receivables_stock_flow_audit",
  "period_diagnostics": [
    {
      "cash_collection_per_net_billing": 0.8235,
      "computed_closing_accounts_receivable": 32,
      "computed_closing_net_contract_liability": 22,
      "computed_closing_remaining_performance_obligation": 103,
      "failed_checks": [],
      "id": "saas-quarter-0",
      "net_billings": 17,
      "period_index": 0,
      "stream_id": "saas-usd"
    }
  ],
  "summary": {
    "bad_debt_writeoffs": 1,
    "cash_collected": 14,
    "failed_period_count": 0,
    "period_count": 1,
    "stream_count": 1
  },
  "truncation": {
    "periods_omitted": 0
  }
}

How it works

Statistical audit & measurement — Check whether a number is fit to decide on: coverage, timing, reconciliation, and the gaps a dashboard hides.

1. 1 Freeze stream/period grain and finance definitions for bookings, contract reductions, recognized revenue, gross billings, credits, collected cash, write-offs, RPO, signed contract position and receivables.
2. 2 Recompute all three stock-flow identities independently, treating positive net contract position as liability and negative as contract asset, and test each reported close within absolute and relative tolerances.
3. 3 Link each period's three openings to the prior reported closes, retain evidence failures and impossible negative stocks, and return bounded period diagnostics rather than collapsing discrepancies into one net variance.

Before you trust it

Every tool in the catalog ships with the conditions under which its answer is meaningful — and the conditions under which it should abstain instead of guessing.

Calibrating it to your org

Calibration workflow

1. 1 Define the management decision, target outcome, aggregate unit, privacy boundary, cadence, and prediction/intervention horizon for this organization.
2. 2 Build a tenant-scoped historical cohort using only information available before each prediction or decision; preserve zero periods, censoring, assignment probabilities, and unresolved outcomes when the method requires them.
3. 3 Estimate statistical parameters on training history, but obtain costs, utilities, risk tolerance, practical-effect thresholds, capacity, and policy constraints from accountable decision owners.
4. 4 Validate on later time windows or held-out aggregate units at the deployment grain, against a simple baseline and the function-specific validation strategy.
5. 5 Deploy only if the returned decision clears evidence, overlap, calibration, robustness, and guardrail checks; warning, unsupported, schema-gap, and fallback decisions are abstentions.
6. 6 Monitor realized outcomes, data drift, coverage, and decision regret; recalibrate at a governed cadence or after a detected regime/definition change, never merely because a stakeholder dislikes the result.

Call it from your AI

You don't wire up 388 tools in your MCP client. The GitRevio MCP server exposes 18 tools, three of which let an agent search the catalog, read a tool's schema, and run it — so the assistant finds this one on its own.

gitrevio_capabilities_search
  { "q": "reconcile the operational finance chain period" }
  → finds "audit_order_to_cash_bridge_integrity"

gitrevio_capability_describe
  { "capability_id": "audit_order_to_cash_bridge_integrity" }
  → returns the input schema and agent guidance shown on this page

gitrevio_capability_run
  { "capability_id": "audit_order_to_cash_bridge_integrity", "arguments": { ... } }
  → returns the result shown above

Works in Claude Desktop, Claude Code, Cursor, Cline, Continue.dev, Goose and Aider. See the MCP server.

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