For CA firms, audit teams & financial review

AI audit assistant
for CA firms.

Detect anomalies, generate audit packages, and switch between clients in seconds — with a full SQL trail behind every finding.

✓ Immutable audit log✓ Multi-client workspaces✓ No raw data logged

The problems you face today

Every CA firm lives with these frustrations.

Hours of manual bank-reconciliation per client

WorkLiq reconciles and flags mismatches in seconds, with the SQL shown

Audit-trail gaps that quietly create compliance risk

An immutable, SHA-hashed log on every action — ready for regulator review

Switching between 15 client Excel files every day

One role-isolated workspace per client, with zero data bleed

What WorkLiq does for CA firms

Four capabilities built for audit work

Anomaly detection on books

IsolationForest + Z-score flag entries that deviate from historical norms — duplicate postings, round-trip transactions, outlier expenses — before the report goes out.

Audit-ready immutable logs

Every query, upload, ML run, and share is logged with timestamp, hashed IP, and the SQL executed. Export a full CSV log for any client on demand.

Multi-client workspaces

A separate workspace per client with role-based access — owner, admin, analyst, viewer. A junior can pull data but not delete or export without approval.

Financial health scoring

An A–F health score on every dataset — null rates, duplicate rows, missing date/revenue columns — each with a specific recommendation.

A worked example

A duplicate posting, flagged with its Z-score and the row.

Illustrative, on a sample ledger — not a customer result. Every finding links to the exact row and the query behind it.

Voucher #4471 — ₹2,48,000 expense

Z-score 4.8 vs the vendor's 6-month mean · identical amount + date to voucher #4468 (possible duplicate)

SELECT voucher_id, vendor, amount, txn_date, (amount - AVG(amount) OVER (PARTITION BY vendor)) / NULLIF(STDDEV(amount) OVER (PARTITION BY vendor), 0) AS zFROM ledger QUALIFY ABS(z) > 3.5;

Try it with your next client's data.

No setup, no credit card. Upload any ledger CSV and see anomalies flagged with the SQL behind each one.

Try with sample data →

No account required for the demo. Audit log active from the first upload.

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