Operate: keeping it correct after go-live
An agent that was right in March starts being wrong in September. Vendors change document formats, thresholds drift away from practice, models get deprecated, and the process the audit mapped quietly moves. The Operations Engine is infrastructure, and infrastructure gets maintained.
| Measure | Before | After | Change |
|---|---|---|---|
| Disruption response time | 3 days | 5 hours | 93% faster |
| Tickets resolved without a person | 22% | 68% | +46 pts |
| Vendor onboarding | 6 days | 1 day | 83% faster |
| Cross-system data accuracy | 89.7% | 96.9% | +7.2 pts |
| Cost per ticket handled | $16.40 | $9.80 | 40% lower |
- W0Go-live89.7%
- W4Coordinator corrections retune exception scoring92.9%
- W8New carrier data format detected95.2%
- W12Routing narrowed after cycle-count reconciliation96.9%
| Point | Value |
|---|---|
| W0 | 89.7% |
| W2 | 91.2% |
| W4 | 92.9% |
| W6 | 94.1% |
| W8 | 95.2% |
| W10 | 96.2% |
| W12 | 96.9% |
Accuracy climbs because corrections from your team are fed back, not because the model improved on its own. The marked weeks are the events that moved it. Each Engine reaches a different plateau, because each starts from a different baseline and a different exception mix.
Model swaps
Exception scoring is re-benchmarked against the recoveries your coordinators actually chose, so a model change is validated against decisions rather than assumed to be an upgrade.
Process drift
Carriers change their file formats, SKUs get reclassified, and a threshold tuned for spring volume is wrong in peak. Drift gets detected and the agents retuned rather than quietly degrading.
Next workflow along
Carrier claims and supplier scorecards reuse the evidence assembly already built for returns and vendor onboarding.
- Drift report: where practice has moved away from what the agents were built against
- Threshold tuning against the decisions your team actually made
- Document and format updates as vendors and systems change
- Accuracy review by exception type, not one blended number
- Business review against the baseline the audit set
- Scoping the next workflow, usually the one adjacent to what already runs
- Model re-benchmarking against your own captured decisions
- Roadmap for the following quarter, with what we would not build and why
Start with the operations workflow that costs you the most
The audit runs 3 to 4 weeks on site at $15–25k, credited in full against a build signed within 90 days. It produces the system map, the exception taxonomy and a build plan, and you own all of it whether or not the build follows.
The before and after columns are modelled from the basis company, and the accuracy curve is the shape we build toward rather than a measurement. Eidral has run no client engagement, so there is no delivered result to show here, and a curve presented as measured would be the one claim on this site that could not survive a reference check.