Case studies

Sample cases, honestly labelled

KAVDAL is just starting. Rather than inventing clients, we show three examples built on fictional data, in problem, solution, expected result format. For each one: what will be measured, and by whom.

Example built on fictional data

Engineering firm · 12 employees

Cash tracked 13 weeks ahead

Problem
The owner tracks cash from the bank statement. Shortfalls are discovered when it’s time to pay salaries.
Solution
A dashboard connected to the bank and invoicing, projecting cash 13 weeks ahead and flagging when it drops below a chosen threshold.
Expected result
Shortfalls are visible weeks in advance: time to chase a customer or postpone a purchase.
Cash tracked *13 weeks* ahead
Before After
Cash tracking The bank statement, day to day A 13-week forecast, refreshed every night
Alert None A message when the forecast drops below the threshold
Preparation A spreadsheet rebuilt every month None: the dashboard updates itself

What will be measured

  • Time spent each month preparing the cash review
  • How many weeks ahead a shortfall is seen
  • Number of overdrawn days over the year

Measured by: the owner, over the three months before and the three months after the rollout.

Example built on fictional data

Equipment wholesaler · 25 employees

Supplier invoice entry, automated

Problem
An assistant spends several days a month retyping supplier invoices into the accounting software.
Solution
An automation receives invoices by email, extracts the data with AI, submits it for approval, then sends it to the accounting software.
Expected result
Data entry becomes a review: the assistant checks instead of retyping, and typos disappear.
Supplier invoice entry, *automated*
Before After
Entry Manual, invoice by invoice Automatic, approved in one click
Filing Shared folders, sorted by hand Automatic, by supplier and month
Tracking None A log of every processed invoice

What will be measured

  • Time spent per invoice
  • Share of invoices corrected at approval
  • Delay between receipt and booking

Measured by: the accounting team, stopwatch in hand, on a sample of invoices before and after.

Example built on fictional data

Building maintenance · 18 employees

A shared spreadsheet replaced by an app

Problem
Technicians report their jobs by text message, and the schedule lives in a shared spreadsheet edited by five people.
Solution
A simple web app: technicians log their jobs on mobile, and the schedule and invoicing update.
Expected result
One version of the schedule, complete job reports and invoices that go out sooner.
A shared spreadsheet replaced by *an app*
Before After
Field reports Text messages and paper Mobile entry, with photos
Schedule A shared spreadsheet, several versions One app, one version
Invoicing Retyped from notes Prepared from job reports

What will be measured

  • Delay between job and invoice
  • Number of incomplete job reports
  • Time spent preparing the schedule

Measured by: the operations manager, over one month before and one month after.

Coming soon

Real cases will come with their numbers

For each client who agrees, we will publish:

  • the context: industry and company size;
  • three before/after measurements, and who took them;
  • a quote signed with name, role and company.

We are opening 1 to 3 pilot projects at a reduced price, in exchange for a measured case and a signed testimonial. Interested? Write to us.

Next step

Your case starts here

The data diagnostic sets the starting point and the measurements to track. €290, deducted if a project follows.

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