One AI-native audit operating system for CA firms. A structured entity profile decides which Standards on Auditing, CARO clauses, Rule 11(g) tests and industry procedures apply; every conclusion links back to its requirement, procedure and evidence; and sign-off is blocked until the file is complete. Fewer hours per engagement — and a file an NFRA or peer reviewer can follow.
Four fictional clients — a manufacturer, a small trader, a listed NBFC and an IT company whose revenue is not yet confirmed. Pick one and watch the rulebook decide its programme; then see a year of Tally edit log tested for Rule 11(g), and each file inspected before sign-off. Sign in for the full workspace: workpapers, materiality, sampling and the independence register.
private manufacturing company · unlisted · AS · FY 2025-26 → 29 procedures, 5 reports, 96 budget hours
Requirement → procedure → evidence → exception → conclusion → review, stored as linked records. That is what makes traceability, review and AI citations come for free.
Applicability engine, risk and materiality with recorded rationale, roll-forward with a change list that explains every added or dropped procedure.
Tally-native data hub, full-ledger journal scoring, Rule 11(g) audit-trail assurance, matching and a sampling assistant with recorded seeds.
Evidence vault linked to procedures, client request portal with WhatsApp reminders, confirmations hub with single-use links.
Exception desk, guarded sign-offs and review notes, drafting of the audit report, CARO annexure, 11(g) wording and management letter.
SQC 1 today, SQM 1 by configuration; pre-sign-off file inspection against NFRA and peer review themes; independence register; EQCR workflow.
Versioned packs for manufacturing, trading, NBFC (RBI), insurance (IRDAI) and more — reusing FinIFRS's ECL, IFRS 17 and NAV engines.
Every engagement type runs the same nine-stage lifecycle; what changes is the rule content plugged into each stage.
Every AI statement cites a source record, document page or standard paragraph; retrieval is scoped to your firm and engagement in the data layer; client data is never used to train shared models.
Drafts text or a list; nothing is saved until a person accepts.
Creates records marked AI-prepared that need human sign-off.
Low-risk actions inside a policy the firm sets.
Sign off, set materiality, dispose exceptions, release reports.
Pilots run on a closed FY 2025-26 file of your choice: applicability, Rule 11(g) and a pre-sign-off inspection, compared with how the file was actually built.