The amount has been entered. The supplier has been matched. Nothing more happens because nobody knows whether the work was delivered.
Take that invoice as an example. Faster capture would barely change its journey. The delay sits between the person checking the document and the person who can confirm the work. To understand the delay, follow the invoice beyond the moment AI reads it.
Give the question a place to return to
The reviewer asks whether the service was delivered. If the answer arrives in a private email, the invoice and its explanation separate. A colleague covering tomorrow has to repeat the search.
Keep the question with the invoice and make the answer visible there. “Waiting for confirmation of delivery” tells the team more than “in progress”. Add who was asked and what happens if they cannot respond.
This does not require a language model. It gives the work a route before you make individual steps faster.
Now speed up the preparation
For an unstructured document, AI can help extract supplier details, dates and amounts for checking. Structured invoice data may be better handled through an ordinary import. The format determines the right approach.
A captured value should remain easy to compare with the original. If the amount is unclear, the reviewer needs to see the relevant part of the document rather than trust a polished summary.
The same applies to missing information. A blank project assignment is a question to resolve. Filling it from a similar invoice may hide the uncertainty instead of removing it. The process automation article follows that case.
Separate two kinds of improvement
Measure the time spent preparing the invoice and the time it spends waiting. Keep corrections in the count. If capture improves while approval takes just as long, you know where to work next.
Do not treat a faster first step as proof that the entire process is faster. Nor should the reviewer be pressured to approve quickly because the automation has already labelled the document complete.
Let someone else take over
For the pilot, use a complete invoice and one still waiting for delivery confirmation. Ask a second person to handle the unfinished case. Can they find the question, see the answer if it has arrived and continue from there?
What can you automate with Pharen Hub?
With Pharen Hub, you can organise incoming invoices in Lists and move them through review and approval with Workflows. The invoice record holds the supplier, amount, due date, responsible person and current status. Agent steps can prepare data for checking, while comments and the decision history explain what happened.
For the delivery question in this example, we would add a waiting stage before approval. Confirmation returns to the invoice, so a colleague can continue from the same information. Our invoice workflow describes missing-information checks, reminders and the handoff to accounting. Your intake, approval rules and accounting connection determine the configuration.
Show us an invoice that is waiting for confirmation, and we can work out the review steps with your team.
