The real process, measured before it is automated
Three process mining and RPA cases: annual effort quantified, the hours automation gives back and the estimated saving — before the first robot goes in.
- Front
- Consulting, Process & Data + RPA
- Cases
- 3
CASES
The cases on this front.
Annual effort saving
Reduction in annual effort, based on process data collected across users.
Operational efficiency
With the insights gathered: an opportunity to cut hours and a need to standardise processes.
Saving with RPA automation
Hours saved, identified if the processes were automated with RPA.
Financial efficiency
An opportunity to cut costs by replacing manual processes with RPA automation.
Estimated saving with RPA
A significant estimated reduction with RPA-based automation.
Process optimisation
By bringing together insights from several processes, we identified opportunities for significant gains through automation.
THE CHALLENGE
The process map did not match the execution
The operation had up-to-date flowcharts and still missed deadlines. The gap sat in what was never recorded: manual fixes, shadow spreadsheets, approvals by email and back-and-forth between teams that no system measured.
- No visibility into real effort per step
- Previous automation prioritised by perception, not by data
- Operational risk concentrated in specific people
WHAT WE DID
Measure, prioritise, and only then automate
Discovery captured the process as actually executed and turned it into numbers per step. With effort quantified, prioritisation stopped being a debate and became a ranking — and automation entered only where return was clear and risk controlled.
- Process mining with effort, time and variation quantified
- Ranking of automation candidates by return, effort and risk
- Governed flow design, with explicit autonomy limits
- Monitored robots with audit trails and per-run indicators
THE OUTCOME
Invisible work became an indicator
The gain was not only automation: it was starting to see. Every step gained measurement, every deviation gained an owner, and every automation cycle is now evaluated against the baseline established during discovery.
- Effort baseline established and monitored
- Automation backlog prioritised and reviewed each cycle
- Execution governance with an end-to-end auditable trail
BEFORE AND AFTER
The same process, with and without visibility.
Above the arc, the real path observed during discovery: deviations, returns and waiting. Below it, the governed flow that replaced that path.
Before — observed path
After — governed flow
