Process, productivity & loss mining
See how the work really runs.
One telemetry layer, three desks: where capacity is lost, how the work really flows, and whether it’s real and compliant.
- 2 weeks
- to first findings
- 137
- variants in one process (illustrative example)
- ~1.8 h
- per agent per day to recover
1The problem
Why the process map and the real work disagree
The process map says one thing; the real work does another.
Maps come from workshops and show the approved path, while the work loops back for missing fields and detours through spreadsheets. Redesigns then fix a process nobody runs.
‘We need more people’ when capacity is lost in the queue.
Headcount cases use monthly averages, which hide agents idle one half-hour and swamped the next. You end up hiring for time lost to waits and slow systems.
Fraud that looks like a top performer.
Auto-typers and jigglers inflate activity, while card numbers copied out of the system of record never show in a productivity report. The riskiest agent can rank first.
2How it works
How Boldr AI mines process, productivity and loss
- 1
Capture once
Desktop and call telemetry, plus event logs.
- 2
Productivity desk
Where every hour of the shift goes.
- 3
Process desk
Spaghetti to happy path, by variant.
- 4
Loss prevention desk
Data extraction, skipped steps, simulated work.
3What you get
What process mining delivers
Time-use map
Every hour of the shift split into active, passive and away time, by application, before anyone asks for more headcount.
Spaghetti vs. happy path
The real flow from event logs beside the happy path, with every variant, loop, skipped step and detour counted by the volume it carries.
Capacity model
Required staff against available staff for each half-hour, built from real demand and handle time. Planners use it to move people before they hire.
Risk score
Each pseudonymized ID scored on 14 signals against a calibrated peer group. The score ranks cases for review; a person makes every decision.
Case file
For every flag, an evidence pack with the signals, timestamps and process deviations behind it, ready for the review procedure HR and legal signed.
Redesign backlog
Fixes ranked by value and tagged with their ESIAR lever, from eliminating a step to robotizing it. The first build starts at the top.
3Loss prevention desk
How the loss prevention desk flags fraud risk
| Risk | What we detect | Example alert |
|---|---|---|
| Data extraction | Card numbers or IDs copied out of the system of record | Card-format string pasted into Notepad · 14:02 |
| Process deviation | Mandatory steps skipped, out of order, approvals bypassed | ID check skipped in 18% of cases · peers 2% |
| Simulated work | Macros, auto-typers, jigglers, activity outside the shift | 11 of 14 signals · machine-like cadence |
| Customer-side fraud | Account takeover, chargebacks, AML red flags | Routed to your fraud team |
No cameras. Pseudonymized IDs. Peer-group calibration. HR and legal sign the review procedure before the first alert. Occupational fraud costs organizations about 5% of revenue a year (ACFE, 2024).
4Results
Measured process mining results
Next step
Scope your first process mining sprint
Define the scope in minutes. We turn your answers into a focused Value Discovery Sprint.
Scope your sprint
in three questions.
Pick the capability. Your answers tell us where a Value Discovery Sprint would look first; a value consultant comes back with a proposed scope.
Your readout
Your answers shape the scope.
A sprint would likely look first at:
- Re-keying to remove
- Capacity lost by half-hour
- Exceptions without owner
Questions
Does Boldr AI’s process mining use cameras?
No, Boldr AI’s process mining uses no cameras. It reads event counts and work cadence with pseudonymized IDs, taken from desktop and call telemetry plus event logs, and calibrates scores against a peer group.
Does the risk score decide disciplinary action?
No, the Boldr AI risk score only ranks cases for human review, under a procedure that HR and legal sign off before the first alert. Each flag comes with a case file of evidence, and a person decides.
Does Boldr AI’s discovery agent capture screens or keystrokes?
Boldr AI’s discovery agent starts from event logs and uses screen capture only on processes you approve, never on sensitive ones, with personal fields masked. You review the setup before anything is installed, and no cameras are used.