Document automation pays off fastest when you start with high-volume, repetitive, predictable documents – the ones eating the most hours right now. Rather than trying to automate everything at once, finance teams get the quickest visible wins by rolling things out in the right order. Here are seven documents to start with, roughly in order of payoff.
Invoices are almost always the right place to begin. They come in high volume, follow predictable layouts, and feed straight into accounts payable. Automating invoice capture removes the single biggest source of manual data entry in most finance teams, and the savings are easy to measure – which makes it perfect for building momentum internally.
Purchase orders pair naturally with invoices. Automating PO capture lets the system automatically match the order, the goods received, and the invoice – the classic three-way match – so discrepancies get caught before payment, not after. This is where automation starts preventing errors, not just speeding up typing.
Expense receipts are plentiful, small, and tedious to handle by hand – and they’re often photographed or scanned at poor quality, which is exactly where good extraction earns its keep. Automating them removes a big pile of low-value work and gets people reimbursed faster.
Supplier statements are how you reconcile what you owe against what a vendor says you owe. Automating their capture makes reconciliation faster and surfaces mismatches early. Pair it with delta detection and the system also flags when a recurring charge has quietly changed.
These feed reconciliation and cash management. Automating their capture cuts the manual effort of matching payments to records and shortens the time to a clean month-end close.
Tax documents carry both volume and risk. Automating their capture and checking reduces manual effort while improving accuracy and building the audit trail compliance requires – turning a stressful periodic task into a routine one.
Contracts come later in the order because they’re less uniform, but they hold high-value data: payment terms, renewal dates, pricing. Automating the extraction of those terms feeds finance planning and makes sure key dates don’t slip through.
Start with one document type – invoices are the usual pick – and get it working well before you expand. That gives you an early, measurable win that builds confidence and justifies the next step. Then add nearby types that share data, like purchase orders and statements, so the automation compounds. Tackle the less structured documents, like contracts, once the foundation is solid. Rolling out this way means you see value in weeks rather than waiting for a full deployment. The engine behind all of this is intelligent document processing – see the pillar guide to intelligent document processing software for how the extraction works, and how to calculate ROI on a document management system to put numbers on the return.
