AI-native accounting and tax
Hire the finance team, not the software.
AawazAI runs a bench of accounting agents. One reads your documents. One posts the entries. One reconciles the ledger. One prepares the filing. You describe what happened, in plain language, and the work moves through them the way it would move through a firm.
Your accountant approves. Nothing is submitted without a human signature.
Every agent has one job and one boundary. It works inside its mandate, shows its reasoning, scores its own confidence, and every action can be reversed to the entry that created it.
We solve one problem completely: turning what people describe and the documents they receive into ledger entries that are correct the moment they are made, so month-end review becomes a check rather than a reconstruction.
One sentence, one balanced entry
The example below plays once on load. It is not connected to a live ledger, and the arithmetic is meant to be checked: debits of 620.00 equal credits of 620.00, and the tax is split out of the gross.
What the controller typed
Paid 620 to Northgate Supplies for office furniture, includes 20 percent VAT
What AawazAI posted
| Account | Debit | Credit |
|---|---|---|
| Office furniture | 516.67 | |
| Input VAT recoverable | 103.33 | |
| Accounts payable — Northgate | 620.00 | |
| Total | 620.00 | 620.00 |
A service, not software
Accounting software made data entry faster. We removed it.
Every accounting product on the market still assumes someone will learn the chart of accounts, the tax codes and the form. AawazAI does not. A business owner, a bookkeeper or a controller describes what happened in their own language, over chat or a messaging app, and the work of turning that into a correct, coded, tax-treated entry is done for them.
Invoices, receipts, bank statements and supplier bills are read the same way. What arrives as a photograph in bad light leaves as a structured, reconciled posting.
Real double-entry underneath
Correct at the point of capture, not at the point of review
Beneath the conversation is a genuine double-entry general ledger. Balance is enforced by a database constraint, not by application code that a future release could bypass. Sub-ledgers, tax positions and running balances move inside the same transaction as the journal.
Multi-entity, multi-currency and multi-jurisdiction from the first posting. Tax rules are date-effective, so amending a prior period computes it with the rules that applied then.
Built to be audited
Every number can be traced back to the sentence or document that made it
Every AI action is explainable, every write is auditable, every entry is reversible, and every AI output carries a confidence score that routes anything uncertain to a person. Corrections are posted as reversals, never edited in place, so the history stays answerable years later.
When an auditor asks why a number is what it is, the answer is a trail: the source document, the extraction, the tax decision, the approver and the timestamp.
A team of agents, each with one job and one boundary
AawazAI is not one model answering questions. A capture agent proposes entries. A document agent reads bills and statements. A reconciliation agent matches the ledger to the bank and to supplier records. A compliance agent assembles returns and working papers. Each hands to the next through a checked contract, and none of them can post an entry or invent a figure.
Who it is for
Two sides of the same ledger
Finance teams and business owners
Keep the books current without a data-entry function. Raise compliant invoices, capture costs as they happen, watch cash and receivables in real time, and hand your accountant a clean, reconciled period instead of a shoebox.
Accounting and tax firms
Take on more clients without taking on more preparers. Capture, reconciliation and computation finish before the queue opens, so your people review exceptions and sign off rather than rebuilding a year from receipts.
Enterprise readiness
Built for the questions your auditor and your CISO will ask
We would rather state our position plainly than imply a certification we do not hold.
Data residency by region
Customer data is stored and processed in the region you choose, with tenant isolation enforced at the database schema level and asserted at application start.
Auditable by design
Append-only audit rows capture the actor, time, source document and preceding state for every write. Audit logs export in open formats.
Access and identity
Role-based access, per-engagement assignment, single sign-on and audit log export on enterprise terms.
Certification status
Formal certification is on the roadmap and is not yet in place. Our current controls are documented and available for review under mutual NDA.
See it against your own books
Bring one entity's month, or one client's backlog. We will run it through the platform on the call and show you the postings, the reconciliation and the draft return.
AawazAI. Books that keep themselves, in the language your team already uses.