Touchless invoice processing means a supplier invoice is captured, matched, approved and posted without a person typing or clicking on it.
Touchless invoice processing describes an accounts payable flow in which an incoming supplier invoice is read, identified, matched to its order or contract, validated against the rules, and posted, with no human keystroke anywhere in the chain. It is a property of individual invoices rather than of a department, so it is measured as a share of volume: a team is not touchless or not, it processes some percentage of its invoices touchlessly. The related term first pass yield means the same thing counted at the first attempt, before any rework.
The commercial argument is less about headcount than about latency and predictability. Every manual step adds a queue, and queues have a variance: an invoice can be posted in one hour or in three weeks depending on who is on holiday. That variance is what breaks discount capture, produces month end accrual guesswork and generates supplier chasing. A touchless flow also changes the error profile: mistakes become systematic and detectable rather than random, because the same rule applies to every invoice instead of depending on who keyed it.
Business Central provides the components rather than the finished flow. Incoming Documents can carry a scanned or emailed invoice and be linked to a purchase document; the e-document framework and the Peppol format remove capture entirely for suppliers who send structured invoices, which is the only genuinely touchless entry point since nothing has to be read; posted receipt lines can be pulled into an invoice; approval workflows with amount limits route what needs a signature; the job queue can run steps in the background. What is not standard is the decision logic in between: choosing the right purchase order when the invoice carries no clean reference, defaulting the G/L account and dimensions per vendor beyond simple setup, releasing differences within a tolerance, and holding whatever fails in a managed queue. Zentriq Document Capture sits in that gap, reading the document and preparing a matched draft for a person to approve; it never posts on its own, and the product page states what it does and does not cover.
Example: a site receives 500 supplier invoices a month. 180 arrive as Peppol documents with a clean order reference and match line for line, so they need no reading and no keying. Another 140 are scanned PDFs that capture correctly and match within the agreed tolerance. The remaining 180 carry no order, cover freight to be allocated, or are credit memos with no original invoice reference. Even with everything working, that last third is manual by construction, so the realistic touchless rate here is around 64 percent, and the improvement lever is the purchasing behaviour behind those 180, not the capture engine.
The usual mistake is treating one hundred percent as the target and spending heavily on the residue. The residual invoices are usually manual for structural reasons: no purchase order exists, an allocation has to be judged, or a supplier bills in a format nobody controls. The other mistake is measuring the wrong thing: a binary touched or untouched flag hides the invoice that was opened five times, so counting touches per invoice and tracking rework alongside the touchless rate gives a truer picture.
Not necessarily. Many organisations consider an invoice touchless when it needs no data entry and no exception handling, while an approval click within the workflow is still required by policy. Define which of the two you mean before you publish a rate.
Invoices with no purchase order, orders raised after the invoice arrives, and price or unit of measure data that does not match the agreement. All three are purchasing behaviours rather than software problems, which is why capture accuracy alone rarely moves the rate much.
Zentriq's AI tools automate many of the manual processes around touchless invoice processing in Business Central. Learn about the Zentriq Agent or try Zentriq PunchOut to see how AI simplifies procurement in BC.