Approve an invoice inbox item with Alfie after project, amount and duplicate checks

Approving an incoming invoice is a financial decision, not a document-processing shortcut. An AI layer can collect evidence and prepare the decision, but it must not turn a plausible match into an automatic approval. Alfie's current action contract treats invoice-inbox approval as high risk: it requires a preview, confirmation and an audit trail. That boundary is particularly useful when supplier documents arrive faster than the office can review them.

Resolve the invoice before judging it

Start with the supplier identity, invoice number, date, currency and total. Then resolve the organisation and project that should own the cost. Similar supplier names, revised invoices and several active sites are common sources of false confidence. If the target project is ambiguous, stop and ask for a choice rather than attaching the invoice to the most recent job.

Check amount and commercial evidence

Compare the document with the purchase order, delivery note, approved variation or other evidence available for the job. The check should make differences visible: quantity, unit price, VAT treatment, retained amount and already approved advances. A match is not just a total that looks familiar. It is a traceable explanation of why this supplier is entitled to this amount for this project.

Run a duplicate check on several signals

Invoice number is the first signal, but formatting changes and credit-note sequences can hide duplicates. Combine supplier, number, date, amount and document fingerprint where available. Present possible matches to the reviewer instead of silently choosing one. A duplicate warning should link to the existing record and explain the overlapping fields so the reviewer can dismiss or confirm it responsibly.

Keep approval separate from extraction

Document intake may extract text and suggest coding. Approval changes financial state. Enfin supplies organisation context, permissions, the selected record and the confirmation gate; a model can help structure the evidence. The current source supports approval through web, WhatsApp and voice only within its channel rules, and the high-risk action requires confirmation. Do not describe that as autonomous bookkeeping.

Test failure paths

Use a repeated invoice, a supplier with a changed bank account, an amount above the order and a project with the same customer name. The workflow should surface each conflict and retain the failed proposal. Also test a user who may view documents but may not approve them. Safe failure is evidence that the control works, not friction to remove.

Finally, make the workflow reviewable in daily operations. Assign an owner, record the official source and product version checked, and define when the decision must be reviewed again. A software flag is not legal advice, and an AI proposal is not approval. The authorised person must be able to see the customer, project, amounts, permissions and exceptions before confirming. Measure not only time saved but also ambiguous cases stopped safely. Update the instruction when regulation, contract terms, channels or product capabilities change. That discipline keeps the record useful to the site team, office, accountant and a later reviewer instead of turning today's configuration into an undocumented permanent rule.

See how Enfin connects construction operations, review pricing, or discuss an invoice-intake workflow.