See AI automation applied to real business workflows.

We have not published case studies yet

A case study is worth reading only if it names the customer, the process, the volumes and the numbers before and after, and if the customer has checked every one of those numbers. We do not yet have one that clears that bar and carries the customer's written consent to publish. Until we do, this page stays empty. We would rather show nothing than anonymised stories nobody can verify.

What a PTAS AI case study will contain

• The process and the documents: what arrived, from where, in how many layouts.
• The starting point: monthly volume, the exception rate and the hands an item passed through.
• What was automated, what was deliberately left with a person, and why.
• The integration method actually used, not the one planned.
• The measured change over a defined period: touch rate, cycle time, cost per document.
• What went wrong on the way, and what we changed because of it.

What to read instead

The guides are long, specific and opinionated about how payables, documents, GST and review should be run. The research tools are the fastest way to see the products on your own material: the DocPro document test reads one of your files with confidence per field, the finance workflow assessment scores your payables, and the automation benchmark covers the business as a whole. The blog is where the team writes about what it is learning as deployments run.

Ask for a reference conversation

If you are evaluating PTAS AI and want to hear from someone running it, ask. Where a customer has agreed to take reference calls, we arrange a direct conversation, without us on the line if you prefer. Request a demo and say you want a reference, or write to connect@ptasai.com with the process you are looking at.