Invoice entry and approvals are taking too long
Supplier invoices arrive in several inboxes. Someone downloads the attachment, types the same fields into the accounts system, chases an approver and checks whether the bill is ready for the payment run.
Adding AI to the first step alone will not solve missing purchase orders, unclear approval rules or exceptions that still need judgement. APIwise maps the whole route before recommending a tool or build.
Start here
Measure the whole invoice route first, automate stable capture and routing steps, and keep people in control of exceptions, approvals and payment release.
- Invoices wait in personal or shared inboxes.
- Supplier, amount, date and VAT data is entered again.
- Approvers cannot see what is waiting or who owns the next step.
- Missing purchase orders and coding questions create back-and-forth.
- Month-end depends on finding invoices that arrived but were not posted.
- 01There is no single, visible intake route.
- 02Documents and the accounting system are disconnected.
- 03Supplier, purchase-order or nominal-code data is inconsistent.
- 04Approval rules live in people's heads or email threads.
- 05Every invoice follows the same route regardless of value or risk.
- 06The automation has no confidence threshold or exception queue.
- 07Payment preparation and payment approval are not clearly separated.
Start with one real example.
Preserve the current data before bulk replay, overwrite or clean-up. One traceable example is more useful than a broad description.
- Record one normal week's invoice volume and correction count.
- Measure time spent on capture, entry, matching, chasing and exceptions.
- List every inbox and the fields copied into the accounts system.
- Write down approval rules by value, department and supplier.
- Record who can create suppliers, change bank details, approve and release payment.
- Identify where duplicates and missing purchase orders are caught.
APIwise can run an AI Readiness Assessment or Integration Health Check around the invoice workflow. The output ranks opportunities by effort, control requirement and the measured baseline.
A focused pilot can capture documents, extract proposed fields, check known supplier and purchase-order data, route items under agreed rules and prepare a draft bill. Exceptions, approval and payment release stay with people.
Baseline
Measure volume, handling time, exceptions and controls.
Map
Follow an invoice from arrival to payment preparation.
Separate
Distinguish rules, AI-assisted interpretation and human decisions.
Design
Set intake, thresholds, checks, audit trail and ownership.
Pilot
Use a limited supplier or invoice set, with no automatic payment release.
Compare
Review actual time, accuracy, exceptions and cost against baseline.
Mechanism-only copy. APIwise offers invoice capture, routing, human review and accounting integration, but no approved client result, saved-hours figure or payback period is currently available. Autonomous payment is not proposed.
A fit when
A UK finance or operations team with repeated invoice handling across inboxes, documents, approvals and an accounting system.
Try the smaller route first when
A ready-made accounting or AP feature may be better when volume is low or the process is standard. A highly variable process may need stabilising before automation.
Can AI read invoices and put them into Xero, QuickBooks or Sage?
It can extract proposed fields into a controlled workflow, subject to document quality and the integration route. Confidence thresholds and human review matter for VAT, coding and changed supplier details.
Should every invoice be touchless?
No. A useful target is safe handling of predictable invoices and a clear queue for exceptions. High-risk changes and payment release should remain controlled.
How do we know whether automation will pay back?
Measure volume, handling time, exception rate and tool cost, then run a bounded pilot and compare the actual result.
Do we need a custom AI model?
Usually not as a starting assumption. Existing extraction and accounting tools may be enough. Custom logic needs a measured reason.