Process & gap mapping
Same process
Different execution across sites
The standard tells you what should happen. Teams can show you where workarounds begin and what they cost

- 01
Define the standard
Agree which steps matter and what good practice looks like
- 02
Compare local practice
Compare how teams carry out the process through interviews with OREY AI voice agents
- 03
Prioritise the gaps
Find the costly gaps and the site routines worth testing elsewhere
What you get
See where weak processes cost you money
Compare local practice, estimate the time or money at stake and find routines worth trying elsewhere
Where is value at stake?
Link process gaps and workarounds to the line hours they cost
What differs locally?
See where teams depart from the standard, and who does better
What should we test?
Pick a stronger practice to adapt and the result to check
Process & gap mapping in practice
Find what sits behind the KPI gap
A KPI tells you where to look. Ask teams what changes from one site to the next
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Typical KPI for production sites as a starting pointOEE
What holds OEE back across sites?
What may get in the wayShort stops, long changeovers and rework may have different causes at each site
What we would askTell us about the last changeover that took longer than planned. Where did the time go?
What you then testTry a preparation routine from a stronger site and see whether downtime falls
All production site use cases →
Typical KPI for field crews as a starting pointFirst-time fix rate
Why does a job need a second visit?
What may get in the wayCrews can arrive without the right part, access details or a clear account of the fault
What we would askOn your last return visit, what would have let you finish the job the first time?
What you then testImprove the job brief or parts check, then track return visits
All field crew use cases →
Typical KPI for warehouses as a starting pointPick rate
Why do some warehouses pick faster?
What may get in the wayPickers lose time when stock locations change, scanners fail or handovers leave gaps
What we would askWalk us through a slow pick. Where did you have to stop or double back?
What you then testPilot a clearer location and handover routine, then compare pick time and errors
Typical KPI for corporate functions as a starting pointTime to resolution
Where do requests get stuck?
What may get in the wayRequests wait when the next owner is unclear or an approval lacks context
What we would askTell us about a request that sat waiting. What was missing?
What you then testGive each handover a named owner, then compare time to resolution
All corporate function use cases → Hear what your people would say