Started small. Growing module by module.
Ledgize began as simple tools for audit automation, with bank reconciliation among the first. Month-on-month workings, expense schedules and tax tools followed, and more modules are on the way.
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Expanding platformLedgize
Automation you can check. AI only where it helps.
Software does the heavy lifting. AI only where it’s needed.
Many tools now hand everything to AI. Ledgize is hybrid: each step only receives what the step before it couldn’t settle, and a person has the final say.
- In
Your records
Ledgers · bank statements · Tally
Everything comes in once, with reusable column mapping.
- 01
Software
Does the heavy lifting
Rules handle matching, calculations and checks. Fast, cheap to run, and the same records always give the same answer.
- 02
Local AI
Only where rules fall short
Unclear narrations or unusual formats go to local models, in several layers. No outside frontier models, so the books stay private.
- 03
A person
Verifies before it counts
AI suggestions and exceptions wait for review and approval, then export as working papers.
Settled by software Settled with local AI Settled by a person Illustrative
Why not hand everything to AI?
| Topic | AI for everything | Ledgize, hybrid |
|---|---|---|
| Who does the work | A language model reads and decides almost everything. | Rules and calculations do the bulk. AI handles only what they can’t. |
| Mistakes | It can invent a figure or miss an entry, and the reason is hard to trace. | Rules give the same answer every time, and every match can be traced back. |
| Client data | Books are often sent to outside AI services. | AI runs on local models. The books aren’t sent to third-party AI services. |
| Speed and cost | Every entry waits for, and pays for, a model call. | Most work finishes at software speed. AI only runs on what’s left. |
| Final say | Easy to accept the output without checking. | A person verifies AI suggestions and exceptions before they count. |
- Where it started
Simple audit tools
Small tools that automated repetitive audit work, bank reconciliation among the first.
- Today
A growing set of modules
Bank reconciliation, month-on-month workings, expense schedules, TDS and GST tools, and a Tally connector, with more in development.
- The long-term goal
Accounting, audit and tasks
Automate accounting, audit and the tasks around them, with the same hybrid approach.
Illustrative concept · Not a product screenshotCLOSER TO THE PRODUCT
Built around
the actual work.
Software first. AI only where it’s needed.
Rules handle the matching, calculations and checks. They’re fast, cost a fraction of a model API call to run since they never make one, give the same answer every time, and never hallucinate a figure that looks plausible and isn’t: they either match a transaction correctly or flag it for a person. AI handles only the genuine exceptions rules can’t resolve, and a person verifies it before it counts.
Private by design.
The AI inside Ledgize runs on local models in several layers, on infrastructure Ledgize controls, not on outside frontier models. A client’s bank statements and ledgers never have to leave the building to get reconciled.
THE PRODUCT
Ledgize started as a few simple tools for audit automation. Module by module, it has grown into a platform for audit and accounting work.
THE CHALLENGE
Audit and accounting teams repeat the same work every period: matching bank statements to ledgers, building month-on-month workings, preparing schedules. Many tools now hand all of it to AI. But a language model can invent a figure or quietly miss an entry, and sending a client’s books to an outside AI service is a privacy risk.
THE APPROACH
Ledgize is hybrid. Software does the heavy lifting: imports, matching, calculations and checks run on clear rules, so the same records give the same result every time, and it costs a fraction of what a model API call would, precisely because it never makes one. AI steps in only where those rules fall short, on small models running on infrastructure Ledgize controls, never out to a frontier API. Whatever the AI suggests goes to a person to verify.
HOW IT COMES TOGETHER
A connected workflow.
Bring the records together
Import ledgers and bank statements with reusable column mapping, or bring in Tally data through the desktop connector.
Software first, AI where rules fall short
Rule-based matching, calculations and checks handle the bulk of the work. Only what they can’t settle goes to local AI models, in layers.
A person verifies. Working papers follow.
AI suggestions and exceptions wait for review and approval. Approved work exports as Excel working papers, with formulas kept.
INSIDE LEDGIZE
The building blocks.
More modules are in development. The long-term goal is to automate accounting, audit and the tasks around them, the same way: software first, private AI where it helps, and a person for the final check.
- 01Bank reconciliation
- 02Month-on-month workings
- 03Expense schedules
- 04TDS and GST tools
- 05Review and exception workflows
- 06Formula-preserving working papers
- 07Desktop Tally connector
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