Work/Ledgerly

Ledgerly: invoices that read, sort and file themselves.

A New York bookkeeping startup whose team typed every client invoice into the books by hand. We built an AI invoice reader that codes each line to the right account and leaves only the odd ones for a person, running on AWS.

Client
Ledgerly
Industry
Fintech
Market
New York, USA
Services
SaaS web app, AI automation, AWS hosting
Timeline
10 weeks
Team
5 people
Year
2026
20hsaved per bookkeeper a week
86%invoices coded by AI
3 daysmonth-end close
99.2%field accuracy

What was in the way.

Ledgerly’s bookkeepers spent days typing invoices and receipts into their clients’ books by hand.

Every new client meant hiring before they could grow, and month end ran late for everyone.

Three moves that changed the numbers.

01

Invoice reader

Drop a PDF or photo and it pulls out every field and line in seconds.

02

Smart categories

It learns each client’s chart of accounts, codes every line itself and shows how sure it is.

03

Month-end view

One screen that shows what is done and what still needs a human.

Before and after, in numbers.

Measured by the client, the same way before we started and after launch.

Time to process an invoice

−92%
Before4 minAfter20 sec
in 8 weeks · Ledgerly audit log

Invoices coded with no human touch

+86 pts
Before0%After86%
in 3 months · Ledgerly audit log

Month-end close

3x faster
Before9 daysAfter3 days
in 2 quarters · Client close reports

Invoices read by AI per day

LAUNCHMonth 123456
Our team got two days of every week back. Month end is almost boring now.
NS
Nadia SheikhCEO, Ledgerly
Sample

Tech used

Next.jsPythonClaudePostgreSQLAWSQuickBooks API

The team

A product lead, a designer, two engineers and an AI engineer, for 10 weeks.

Where it stands

Dedicated team of three engineers

Ready to break out of the circle?

Tell us what you’re building. We reply within one business day.