Clarivect
Private Receivables ScannerDeterministic Ruleset · Zero Retention

Know what needs attention.
See what to do next.

Turn an open receivables CSV into an executive Action Plan, supported by an explainable, downloadable Assurance Brief.

Free instant analysisNo account or accounting credentials requiredAutomatic 24-hour purgeMulti-currency preserved
Fictional SampleAnalysed 1 August 2026Ruleset v1.1

Receivables Action Plan

Deterministic prioritization with complete evidence lineage

6 valid rows analysed · 0 automated outreach
INR ExposureINR 480,000.001 overdue of 1 invoice
USD ExposureUSD 55,600.005 overdue of 5 invoices
Priority Actions (7 total generated)Click any item to inspect deterministic rules & source facts
01
Northstar StudioP1 Critical
Customer coordination · Customer-level review
USD 15,900.00Target: today

Suggested next step

Coordinate one customer-level review led by Maya across all 2 invoices instead of sending disjointed reminders.

2 separate overdue invoices recorded for Northstar Studio. Combined outstanding exposure: USD 15,900.00. Oldest item is 122 days overdue.

Still to confirm: Dispute status · Promise-to-pay date
Inspect source facts and calculations

From the CSV

  • Customer identifier: northstar studio
  • Supplied invoice count: 2
  • INV-1042: USD 12,500.00 (due 2026-04-01)
  • INV-1068: USD 3,400.00 (due 2026-05-31)

Calculated context

  • Total consolidated exposure: USD 15,900.00
  • Overdue count: 2
  • Max days overdue: 122

Applied rules and assumptions

Northstar Studio has repeated overdue invoices (customer.repeated_overdue · 1.0.0)

Invoices sharing this customer identifier belong to the same commercial counterparty.

02
Tamarind DigitalP1 Critical
Needs attention · INV-774
INR 480,000.00Target: today

Suggested next step

Have Neha investigate current status and resume direct communication with Tamarind Digital.

73 days since last recorded contact (2026-05-20). Invoice is 91 days overdue for INR 480,000.00.

Still to confirm: Dispute status · Promise-to-pay date
Inspect source facts and calculations

From the CSV

  • Invoice identifier: INV-774
  • Last contact date: 2026-05-20
  • Outstanding amount: INR 480,000.00
  • Due date: 2026-05-02
  • Account owner: Neha

Calculated context

  • Days since last touch: 73
  • Days overdue: 91

Applied rules and assumptions

INV-774 has stale recorded activity (invoice.stale_activity · 1.0.0)

Supplied activity date accurately reflects latest communication.

03
Helio WorksP1 Critical
Investigate · INV-1081
USD 24,000.00Target: today

Suggested next step

Assign an internal owner to clarify the recorded dispute reason with the commercial team before contacting the customer.

Invoice INV-1081 has an active recorded dispute status: "Needs clarification". Outstanding balance: USD 24,000.00. 78 days past recorded due date.

Still to confirm: Responsible owner · Promise-to-pay date
Inspect source facts and calculations

From the CSV

  • Invoice identifier: INV-1081
  • Dispute status supplied: Needs clarification
  • Outstanding balance: USD 24,000.00
  • Due date: 2026-05-15

Calculated context

  • Days overdue: 78
  • Outstanding amount: USD 24,000.00

Applied rules and assumptions

INV-1081 has recorded dispute requiring clarification (invoice.dispute_investigation · 1.0.0)

The dispute status reflects an unresolved commercial or billing disagreement.

Showing 3 of 7 suggested actions from the scanner’s sample CSV. The complete Assurance Brief provides granular audit records and customer-level exposure trees.

Inspect the full sample workspace

Data Ingestion & Mapping

Prepare your CSV.
Keep the context.

For B2B service businesses reviewing open customer invoices. Confirm your column mappings before analysis runs; your export does not need to match our naming conventions.

QuickBooksXeroNetSuiteStripe BillingZoho BooksCustom CSV

Smart auto-mapping recognises your standard accounting headers automatically. No manual reformatting required.

Download sample CSV template
Header row requiredUTF-8 encodingUp to 50 MB and 50,000 rows

Ingestion Schema Specification

Supported standard columns and rule evaluation impacts

ColumnTypeStatusExampleRule Purpose
customer_nameTextRequired"Northstar Studio"Entity concentration & risk grouping
invoice_idTextRequired"INV-2026-088"Unique invoice traceability
due_dateDateRequired2026-07-15Deterministic aging calculations
outstanding_amountDecimalRequired12500.00Net uncollected balance
currencyISO 4217OptionalGBPCurrencies preserved separately
dispute_statusTextContext"under_review"Quarantines disputed collections
promise_dateDateContext2026-08-10Evaluates broken commitments
View optional fields & boundary rules

Additional supported context fields include account_owner, last_activity_date, last_payment_date, and payment_terms. When provided, they refine suggested ownership and timeline actions.

Missing fields limit conclusions; they never become invented facts. The scanner operates with strict determinism under receivables-attention-v1.1.

Execution Pipeline

You stay in control of the scan.

A transparent, deterministic workflow designed for institutional data hygiene.

  1. 01

    Ingest & Auto-Map

    Automatic header recognition matches your CSV to standard financial dimensions. Confirm date parsing and choose currency defaults before evaluation.

  2. 02

    Validate & Quarantine

    Deterministic validation flags invalid numbers, missing dates, or duplicate invoices. Exclude or correct anomalies while valid rows proceed cleanly.

  3. 03

    Action Plan & Brief

    Inspect prioritised actions supported by explicit rule lineage and calculations. Download the standalone Assurance Brief or self-purge the session on demand.

Data Sovereignty & Protection

Your data.
Your control.

Engineered specifically for sensitive commercial receivables. All processing occurs in private, isolated sessions with strict zero-retention defaults.

Ephemeral Session Storage

Uploaded CSV files and calculated findings are held in private session memory, automatically destroyed after 24 hours.

Immediate One-Click Deletion

A prominent "Delete Now" trigger is accessible at every stage of the scan to immediately purge all raw data and derived findings.

Zero AI Model Training

Your financial records, customer identities, and invoice numbers are strictly quarantined and never used to train machine learning models.

Deterministic Rule Logic

Recommendations cite exact CSV row facts and versioned threshold criteria—never speculative predictions or automated customer contact.

Start with a clearer next step.

Test drive the demo portfolio first, or create a private Action Plan from your own receivables in under 60 seconds.

Automated receivables intelligence

Continuous cash protection
for your ledger.

The Private Scanner gives you instant diagnostic clarity on your current invoices. For teams that want continuous protection, we are building automated read-only sync with your accounting system.

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