Team
finance and operations teams running accounts payable
Invoices pile up when coding, matching, and approval live in different places.
Mia prepares the check, routes the exception, and keeps the approver focused.
Finance gets a cleaner queue without adding another AP seat.
Send the invoice inbox and approval bottleneck. Mia maps the first intake, check, and routing loop.
Workday pressure
Mia does not score AI interest.
She scores the queue: what piles up, who gets chased, and what still needs approval.
The first version must clear visible work.
Team
finance and operations teams running accounts payable
Workday sentence
They say: invoices arrive in scattered channels, supplier invoice inbox.
Answer that pressure first.
Where it gets stuck
Invoices arrive in scattered channels: Finance has to check emails, PDFs, supplier portals, drive folders, and chat threads before the real work starts.
What cannot go wrong
A full accounts-payable platform replacement before the intake workflow is proven.
What stays human
No payment release by default: The first workflow prepares and checks the work; payment actions can remain gated behind existing finance controls.
First useful version
Invoices arrive with extracted fields, missing details, and source files attached.
Work first
The question is simple.
Can this work be cleared with less cost, less waiting, fewer misses, and less manager attention?
Work to clear
Invoices arrive with extracted fields, missing details, and source files attached.
Impact
To first invoice checks from recent examples.
Current cost
Finance has to check emails, PDFs, supplier portals, drive folders, and chat threads before the real work starts.
Human approval
No payment release by default: The first workflow prepares and checks the work; payment actions can remain gated behind existing finance controls.
What it costs now
Finance has to check emails, PDFs, supplier portals, drive folders, and chat threads before the real work starts.
The same missing details keep delaying payment decisions and creating back-and-forth.
Simple invoices are easy; mismatched suppliers, unclear purchase orders, and unusual terms need judgment.
Result after week one
The business outcome is fewer month-end surprises, cleaner approval packets, and faster exception handling.
Invoices arrive with extracted fields, source files, and missing details already flagged.
Approvers receive the supplier context, amount, due date, and specific decision needed.
Duplicates, mismatches, changed details, and missing references surface before payment review.
How the work gets cleared
Invoice processing automation should start with intake and exception prep: read the invoice, match known vendor details, check missing fields, attach source context, and send a clean approval request.
Work in motion
Three week-one outputs. Drafted for review before send.
EXAMPLE · 01
Read new supplier invoices, extract fields, identify missing details, and prepare the approval request.
EXAMPLE · 02
Compare invoice details against a PO or project record and flag mismatches before approval.
EXAMPLE · 03
Summarize stale invoices, missing approvals, and exceptions that need action before close.
48-hour build
The employee reads invoices from email or folders and extracts the fields the finance team actually checks.
Supplier, ABN or tax ID, due date, amount, purchase order, bank details, and missing attachments can be checked before review.
Approvers receive a clear summary, source file, prior context, and the specific decision needed.
Unclear, duplicate, or policy-sensitive invoices go to the right reviewer instead of sitting in a general inbox.
Human control
The first workflow prepares and checks the work; payment actions can remain gated behind existing finance controls.
The employee can surface suspicious repeats, changed bank details, and conflicting invoice information for review.
Each prepared item includes the source document and the checks applied so finance can verify quickly.
Do not start here if
A good first week looks like
Invoice automation needs structured data, exception handling, and finance controls before payment is touched.
Claim boundary
We do not claim fully touchless payment, universal fast payment, ATO visibility into invoice contents, or guaranteed savings.
Reference point
The ATO describes lower processing cost for eInvoices and notes internal checks still apply before payment.
Reference point
ATO guidance describes Peppol eInvoicing as direct structured data exchange between buyer and supplier software.
Reference point
OpenPeppol documents the interoperability framework and invoice specifications that support automated processing.
Mia checks the cost, risk, what needs sign-off, and whether an AI employee can clear the first version.
If this is cheaper or safer with a person, the scorecard says that.
WORK + APPROVAL SCORECARD
A short check for cost, speed, quality, risk, and the first safe version.
Work
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Cost
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
Better drafts, faster turnaround, fewer errors, cleaner handoffs, and less chasing from managers.
Control
Customer promises, pricing, refunds, legal language, financial decisions, or anything that can damage trust.
Output: work to clear, current cost, what needs sign-off, pricing options, and the smallest useful test.
Invoice processing automation reads incoming invoices, extracts required fields, checks vendor and purchase-order context, prepares approval packets, and routes exceptions.
Payment release should stay behind the company’s existing finance controls unless explicitly approved.
Invoice automation focuses on intake, extraction, validation, and approval routing.
AP automation is broader: vendor records, purchase orders, approvals, payments, reconciliation, and audit trails.
Rebotify usually starts with invoice intake before broader AP change.
Yes, if the first workflow is scoped.
An AI employee can read invoices from email or folders, check required details, attach source files, and prepare approval requests inside tools finance already uses.
Humans should review payment release, changed bank details, mismatched purchase orders, duplicate invoices, unusual terms, and anything outside the approved finance policy.
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Send the invoice inbox and approval bottleneck.
Mia maps the first intake, check, and routing loop.