“When other finance leaders come to me and ask how I manage to collect such a high volume of invoices, I'm always delighted to tell them about Invoice Butler.”
Alim S. H.
Finance at Togather
Togather Reduces DSO From 70+ Days To 22 With Invoice Butler
70+ → 22 days
DSO after working with Invoice Butler
$560K
collected through Invoice Butler
95%
AR issues handled in the background
Zero
Internal collection hires
About Togather
Togather: End-to-end supplier management platform for live events.
Headquarters: London, England
Founded: 2017
Customers: Individuals and businesses booking independent suppliers for events
Industry: Events services
The Challenge: An Inbox Full of Horrors With No System Built to Handle It
AR at Togather happens at massive scale. But when Alim joined the finance team two years ago, collections wasn’t running like a smooth engine. The inbox was constantly filling up, and the team did what most finance teams do: focused on the biggest invoices, the most overdue balances, and the quickest wins. There was always more to chase.
Before Invoice Butler, Alim had tried almost everything in the AR playbook: spreadsheets, Zapier automations, and tools like Chaser, Upflow, and Kolleno. Each one followed the same basic model: send sequential emails based on rules and keep chasing until someone paid. And each time, the same realization: need more firepower, need more firepower, need more firepower.
But the real problem wasn’t sending reminders. It was what happened next.
Customers would reply with the reason payment was blocked: a missing PO, the wrong contact, a disputed invoice, or something else that needed fixing. The inbox kept growing, and the finance team still had to step in manually.
The real issue was that none of these tools could understand why an invoice was actually blocked. They could keep chasing the customer. But they couldn’t move the payment forward.
“Every other system just ends up taking tons of resources away from you as a finance person trying to build infrastructure, rather than letting you focus on the immediate firefighting problem.”
Invoices Off Alim's Plate, With A Specialist Team Behind It
Alim wasn't looking for another email sender. He needed something that could get into the conversation behind why invoices were getting blocked and a team of specialists who know how to get an invoice paid.
Now, Invoice Butler handles 95% of issues in the background. Everything comes through Slack without Alim even having to log into the dashboard. Any tweak or any workflow change gets handled almost immediately.
In fact, onboarding required almost nothing from Alim's side: clicking a few links, connecting Xero and sharing screenshots of existing workflows. That’s it.
“I like the fact that you took the headache of setup away from me. I didn’t actually have to do much apart from sending those screenshots and clicking some links.”
What sets Invoice Butler apart is having a whole team behind the tool who know AR better than anyone. It is also augmented by humans in the loop for the situations that actually need judgment.
“You're offering way more than a tool because you've got a best-in-class tool augmented by humans in the loop and specialist knowledge. It's the best of both worlds.”
$560K Collected, DSO Cut From 70+ Days to 22, Zero New Hires
With Invoice Butler running collections, Togather cut their DSO from 70+ days to 22 and collected $560K without hiring anyone internally. Alim's role completely shifted from proactively chasing invoices to only handling the exceptions that need him.
For a highly seasonal business where cash timing is everything, that shift changed how the whole operation felt.
“Reducing average time to pay by that much gives us so much more confidence. Whether it's peak season with outflows constantly hammering you, knowing that cash is there, collected, makes it so much more comfortable.”
The time freed up went straight into strategic work such as forecasting, cash flow and reporting. Work that adds value to the senior leaders of the business.
And his advice to other finance leaders sitting on the fence about AI in collections:
“If you're gonna use AI anywhere in finance, this is the place. The foundations of AR: timely responses, solving problems, moving things forward. All of the above is very systematic”