Examples
The examples are organised by the business function they solve. For each one we show the state before, the solution we built, and the measurable result in production.
Internal BI tool
Report preparation per week
8h → 15 min
Before
Data scattered across studies, analyses, and reports — every report was produced manually, on request.
Solution
An internal BI tool that automatically pulls, structures, and visualises data from multiple sources in real time.
Data availability
1–2 days real-time
Source of truth
1 instead of 5 systems
Quotes and sales cycle
Quote preparation time
48h → 15 min
Before
Customer, pricing, and past-quote data were scattered across CRM, spreadsheets, and email; preparing a quote took up to 48 hours, with frequent errors from manual re-entry.
Solution
We connected CRM, price lists, and templates into a single data layer; an agent automatically builds the quote from verified data, removes the manual re-entry bottleneck, and sends it to the team for approval.
Quote preparation time
48h 15 min
Errors in quotes
-93%
Marketing reporting and personalisation
Weekly report preparation time
6h → 1.5h (-75%)
Before
Campaign data was scattered across ad platforms, CRM, and web analytics; the weekly report was assembled manually, about 6 hours per week, and personalisation opportunities went unused because nobody had a complete view of the customer.
Solution
We connected ad platforms, CRM, and web analytics into a single data layer; an agent automatically builds the report, tracks key metrics, and enables personalised campaigns based on a complete customer profile.
Weekly report preparation time
6h 1.5h (-75%)
Potential revenue lift from personalisation
+10–40%
Book a meeting where we will go through a specific problem, how the process works today, and how it can be improved.