CustomersBusiness Intelligence

Teams that stopped arguing about the numbers.

Finance teams closing in two days. Forecast calls that end early. Store managers who open the same scorecard at 8am. These are the stories behind them.

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At a glance

Stories: 3 case studies
Industries: Fintech · Services · Retail
Median close: 2.4 days
Median payback: 14 months

01—Featured story

A Nordic fintech closes the books in two days.

A 40-person fintech, three finance systems and one MRR definition. The close went from a nine-day reconciliation to a two-day review.

Series B fintech · Nordics

Featured story · Fintech · Nordics

We used to close the month. Now we just review it.
CFOSeries B fintech · Nordics

A Nordic fintech’s finance team reconciled Stripe, Xero and a Postgres ledger by hand every month. With a certified revenue model and locked month-end snapshots, the close went from nine days to two — and the board pack now writes itself.

Read the full story

Stripe
Xero
PostgreSQL
HubSpot

Before → after

A Nordic fintech before and after Kimo
Metric	Before	After
Days to close the month	9	2
Spreadsheets in the close	31	0
Board pack prep	5 days	40 min
Billing ↔ ledger variance	2.8%	0.3%

Working days to close, 2026Hover a month

Before Kimo With Kimo

02—Case studiesStories from every product

Four companies, one source of truth each.

Different industries, the same pattern: connect the systems that disagree, certify the definition, give everyone the same dashboard.

Fintech · Nordics

A Nordic fintech closes the books in two days.

Certified MRR and a locked month-end, reconciled hourly against the ledger.

2 days

to close the month, down from 9

Finance · 6 people

Professional services · North America

A consultancy made the pipeline review boring (in a good way).

Daily pipeline snapshots replaced a 40-tab forecast workbook.

+18%

forecast accuracy

Sales ops · 4 people

Retail · France & Belgium

A 42-store retail chain gave every manager the same numbers.

42 store managers open the same morning scorecard, on their phones.

1 source

of truth across 42 stores

Operations · 42 stores

Vertical SaaS · DACH

A Series A SaaS company raised its Series B with a board pack built on live data.

4 h

to the board pack, down from 4 days

03—Impact

What changes in the first year.

Medians across Business Intelligence customers twelve months after go-live. Illustrative demo figures.

Median month-end close: 2.4 days; down from 8.7 before Kimo
Fewer recurring spreadsheets: 87%; across finance and RevOps
More people reading dashboards: 6.1×; weekly active viewers, year one
Median payback: 14 mo; from hours saved alone

04—In their words

Heard in the forecast call.

Our forecast call went from forty-five minutes of arguing to ten minutes of deciding. Same data, one definition, nobody’s spreadsheet.

VP SalesSales leadership, Management consultancy

+18%

forecast accuracy

01 / 05

05—Who runs on Kimo

From ten-person startups to forty-two stores.

A sample of the teams reading Kimo dashboards every morning.

Freight & logistics
Healthcare
Manufacturing
Food production
Legal services
Energy
Vertical SaaS
Fintech
Rentals
Publishing
Biotech
Mobility
Design software
Asset management
Real estate
Hotels
Utilities
IT services

Stories are anonymized. Names, logos and identifying details have been removed.

Your story

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