Use case — Finance operations
Invoice approvals,
with a person in the loop.
An Avow agent drafts, matches and queues invoices; a named approver signs off every payment.
Book a demo
→
Fig. 1
A finance team reviewing the morning approval queue.
§ 01 — The problem
Manual, slow,
and hard to audit.
Today, invoices are keyed by hand, chased by email and approved in a spreadsheet nobody audits.
Sample figures from a 12-week pilot.
§ 02
How it works
Four steps,
one approval.
Four steps.
I.
Ingest
Invoices arrive from email or your AP inbox.
II.
Match
The agent matches to POs and flags exceptions.
III.
Approve
A named person approves or rejects in one click.
IV.
Record
Every step is logged for audit and export.
§ 03
Outcomes
What changes,
in real numbers.
Sample figures from a 12-week pilot.
62%
fewer manual touches
14 hrs
saved per week
100%
of payments human-approved
“
"We approve more in a morning than we used to in a week, and every step is on the record."
Maya Okafor
Head of Finance Ops, Harrowgate
§ 04 — Next step
See it on your
own invoices.
Work email
name@company.com
Book a demo
→
Agents your risk team will sign off on.
Made in London. Data hosted in the UK and EU.
Avow
© 2026 Avow. Made in London.
Vol. 01
Trust-first AI agents
Avow
MENU
Use case — Finance operations
Invoice approvals,
with a person in the loop.
An Avow agent drafts, matches and queues invoices; a named approver signs off every payment.
Fig. 1
A finance team reviewing the morning approval queue.
§ 01
The problem
Manual, slow,
and hard to audit.
Today, invoices are keyed by hand, chased by email and approved in a spreadsheet nobody audits.
§ 02
How it works
Four steps,
one approval.
Four steps.
I.
Ingest
Invoices arrive from email or your AP inbox.
II.
Match
The agent matches to POs and flags exceptions.
III.
Approve
A named person approves or rejects in one click.
IV.
Record
Every step is logged for audit and export.
§ 03
Outcomes
What changes,
in real numbers.
Sample figures from a 12-week pilot.
62%
fewer manual touches
14 hrs
saved per week
100%
of payments human-approved
“
"We approve more in a morning than we used to in a week, and every step is on the record."
Maya Okafor
Head of Finance Ops, Harrowgate
Agents your risk team will sign off on.
Avow
© 2026 Avow. Made in London.
Vol. 01
Trust-first AI agents
Avow
MENU
Use case — Finance operations
Invoice approvals,
with a person in the loop.
An Avow agent drafts, matches and queues invoices; a named approver signs off every payment.
Fig. 1
A finance team reviewing the morning approval queue.
§ 01
The problem
Manual, slow,
and hard to audit.
Today, invoices are keyed by hand, chased by email and approved in a spreadsheet nobody audits.
§ 02
How it works
Four steps,
one approval.
Four steps.
I.
Ingest
Invoices arrive from email or your AP inbox.
II.
Match
The agent matches to POs and flags exceptions.
III.
Approve
A named person approves or rejects in one click.
IV.
Record
Every step is logged for audit and export.
§ 03
Outcomes
What changes,
in real numbers.
Sample figures from a 12-week pilot.
62%
fewer manual touches
14 hrs
saved per week
100%
of payments human-approved
“
"We approve more in a morning than we used to in a week, and every step is on the record."
Maya Okafor
Head of Finance Ops, Harrowgate
Agents your risk team will sign off on.
Avow
© 2026 Avow. Made in London.