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 Revenue Engine is infrastructure, and infrastructure gets maintained.
| Measure | Before | After | Change |
|---|---|---|---|
| Quote turnaround | 3.2 days | 0.6 days | 81% faster |
| Speed to first touch | 19 hours | 8 minutes | 99% faster |
| Rep administrative time | 3 hrs/day | 30 min/day | 83% removed |
| CRM field accuracy | 88.4% | 96.1% | +7.7 pts |
| Cost per qualified opportunity | $940 | $610 | 35% lower |
- W0Go-live88.4%
- W4Rep corrections start retuning pricing reads91.8%
- W8Rate card revision detected94.4%
- W12Approval routing narrowed to genuine exceptions96.1%
| Point | Value |
|---|---|
| W0 | 88.4% |
| W2 | 90.1% |
| W4 | 91.8% |
| W6 | 93.2% |
| W8 | 94.4% |
| W10 | 95.3% |
| W12 | 96.1% |
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
Pricing and redline reads are re-benchmarked against your own approved decisions before a model changes, so a swap is measured against precedent rather than trusted.
Policy drift
Rate cards change, segments get redrawn, and approval caps move. When practice diverges from written policy the drift report says so rather than the agents quietly learning the exception.
Next workflow along
Renewals and expansion reuse the account-history assembly the deal desk already runs. Scoping happens in the quarterly review.
- 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 revenue 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.