Map
Observe the real workflow, including informal handoffs, workarounds and failure paths.
Approach
AI should earn authority.
The model is only one part of a production workflow. Reliable deployment requires verification, business rules, system access, explicit exception paths, human authority and evaluation.
The model is not the system.
01
Model
02
Business rules
03
System access
04
Verification
05
Exception routing
06
Human authority
07
Audit / evaluation
Exception architecture
TRACE · CLM-28471
01Input7 documents
02UnderstandClaim + policy matched
03VerifyLoss date conflict
04ForkRoute by state
RoutineApproved action
ExceptionHuman judgment→Approved action
Audit + evaluationEvery route and correction retained
Method
Baseline
Measure volume, touch time, rework, exception rate and cycle time before changing the system.
Shadow
Run against historical examples and controlled live work without delegating consequential authority.
Verify
Compare outputs with the team’s real work and agreed acceptance criteria; track corrections by reason.
Deploy
Introduce controlled production actions, least-necessary access and explicit human approval gates.
Expand
Move to an adjacent workflow only when the economics and control model repeat.
One queue. Measured.
Show us the queue everyone hates.
If your team repeatedly reads, checks, re-keys, reconciles or routes the same operational work before judgment can begin, we should probably look at it.
Map the workflow
We’ll start with the workflow and its economics—not a generic AI demo.