Invoice reconciliation eats days of every tax period.
The data is already in your sales and purchase ledgers. What is missing is whoever reconciles it into a dataset your tax consultant can use — without replacing your accounting system.
What usually happens each period
- Purchase invoices matched one by one against input tax credits, by hand, in Excel.
- Discrepancies only surface at the end, when there is no time left.
- Preparing the data for the tax consultant has become a monthly project of its own.
- Asked where a figure came from, tracing it takes half a day.
What you get back
Every period, without chasing it.
- A reconciled invoice dataset, ready for your tax consultant
- The list of unmatched invoices, with the reason for each
- Every figure traceable to its source invoice
- The same format every month — nothing to re-explain
We are not tax consultants and we do not give tax advice. We prepare the data.
How the work moves off your desk
We look first
Data audit: where your invoices come from, how good the data is, where discrepancies usually appear. Free.
We connect it
Your ledgers and tax invoices are read in place. Matching rules are locked in with you, once.
You review
Each period the reconciled dataset arrives on its own. You review what needs a decision, instead of matching rows.
The two questions that always come up
Can I trust the numbers?
Every figure traces back to its source invoice, and the script that calculated it can be inspected. When something does not match, Veridia shows you where the difference is — instead of hiding it inside a total.
Is my tax data safe?
The data stays in your systems; we read it with permissions you set and can revoke at any time. Every client is isolated, and nothing moves without your approval.
Built by practitioners
Kristianto Yanuar
Founder & CTO
Software architecture · applied AI. Builds the technical foundation that makes enterprise data trustworthy and AI-ready.
Wisnu Wardhana
Co-Founder & CEO
Technical business operations. Makes sure business processes are accurately reflected in the systems and data beneath them.
You do not buy all of it up front.
The first step is a free data audit. After it you know exactly what shape your data is in and what can be done — then you decide whether to go on.