Disciplines

📊 Accounting Intelligence (ACCTINT)

🔍 Lookup

📊 Pre-built Queries · Accounting Intelligence

📜 Playbook — Accounting Intelligence collection

1. Direction — frame the requirement for Accounting Intelligence: what decision does this support, by when?
2. Collection — collect from the 0 mapped sources (0 free) — filter the catalog by ACCTINT; capture provenance and observe OPSEC.
3. Processing — normalize, de-duplicate and enrich the collected data.
4. Analysis — correlate against local holdings; apply ACH; assign confidence.
5. Dissemination — open a case, draft a report, share via STIX/MISP.
6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🗃 Data Management

🧩 Advanced Capabilities

✨ Enrichment pathways

🎯 Mission

Accounting Intelligence analyzes financial statements, filings, and disclosure data to detect fraud, assess solvency, and uncover manipulation. It answers whether the numbers are real, whether the entity is financially sound, and where the accounting red flags are.

📡 Collection methods

• Financial statement extraction from regulatory filings and XBRL facts
• Ratio and trend analysis across liquidity, leverage, and profitability
• Forensic testing with Benford's Law, accrual anomalies, and the Beneish M-Score
• Audit report and going-concern language review
• Related-party transaction mapping across filings
• Revenue recognition and restatement tracking
• Peer and industry benchmarking against baselines

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• pandas
• Arelle (XBRL)
• Benford analysis libs
• OpenRefine
• Excel
• R

📜 Accounting Intelligence Tradecraft

1. Collect: pull the entity's EDGAR filings, XBRL facts, and peer statements across reporting periods
2. Process: parse XBRL into normalized line items and reconcile statements across periods
3. Analyze: run ratio, accrual, Benford, and Beneish M-Score tests to flag manipulation risk
4. Attribute: trace anomalies to related parties, auditors, and responsible officers named in filings
5. Disseminate: publish a financial-health scorecard and red-flag memo with supporting exhibits
6. Act: escalate suspected fraud to investigators or regulators and open continuous monitoring on the entity

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities