At last: with AI, the spreadsheets you share can carry a full audit trail.

How it works

You already have the spreadsheets. What has changed is that now — with AI setting things up — those spreadsheets can carry a full audit trail without your team learning anything new. Azquo does not ask you to move off Excel; it sits behind the Excel your team uses today and adds the audit layer that spreadsheets alone cannot.

Audit opens as a new worksheet in your workbook — shown here as a summary card for clarity.

1. AI proposes; you confirm

Select a cell in your data region and click Register with Azquo. AI infers the region boundaries around that cell — where the data starts, where it ends, which columns identify what — and proposes a mapping. You confirm or adjust with a click. Values are stored with your name in the audit trail from the first entry. Workbooks with more than one region? Just Register each one in turn. For lists of transactions the region auto-adjusts to the row count on every refresh.

2. The daily loop is three buttons

Save to Azquo. You edit as normal. When you are ready to share, click Save. Every changed value is stored with a provenance line: who edited, when, from which workbook cell. Prior values are retained, not overwritten.

Refresh from Azquo. Open a workbook and it refreshes to current. If a colleague pushed changes, you see them. Excel formulas you have added are untouched.

Audit cell. Click any cell, then this button. A new audit sheet appears in your workbook, listing the value, who wrote it, when, and every prior value with its own provenance line. This is the answer to “prove it” that spreadsheets cannot give you.

Together, these three turn the workbook into a live shared record. The moment you Save, any colleague who Refreshes sees your change in their own workbook — with your name against it and the timestamp attached. What was once a private analysis becomes a shared one, and everyone can see who said what, when.

3. Summaries cannot be plugged

Totals and subtotals in Azquo are not cells that get typed in — they are live views over the inputs that make them up. To change what a total says, someone has to change an input, and every input change carries its own audit line. Silent plugging is structurally impossible. Auditors like that. Boards should insist on it.

Read about compliance →

4. Transactional data flows in on a schedule

For a monthly spending export, a sales feed, or a payroll round, the mapping is established once — which columns are which, which fields identify the entity, how amounts aggregate. From then on the file drops into your shared folder and the values land in the database with provenance naming the source file. AI is called in only when something changes — a new supplier name, a new column, a row fails validation. The routine flow is a boring reliable engine.

5. Finance-owned. IT-approvable.

AI does the setup work IT used to be needed for — inferring structure, matching names, resolving ambiguity. Your finance team can register a workbook, sanity-check the ranges, and start sharing. IT can be involved if you want them to be, but they do not need to build a database first.

What Azquo does not do

It does not replace your accounts system, ERP, or CRM. It does not rewrite your workbooks or ask your team to learn a new interface. It does not insert AI into every transaction — the daily loop is mechanical, and that is deliberate. What it adds is the audit layer that turns your team’s spreadsheets from private analysis into shared, provable numbers.

For AI teams

Building on Azquo directly, or evaluating it as the memory-and-audit layer under an AI project? Azquo’s data model, MCP surface, and agent workflow have their own page — with a comparison table against Postgres, warehouses, graph databases, and vector stores, plus a worked demonstration of Claude building a 73-territory insurance rating database from a 168-page filing, unaided.

For AI teams →