Modeled measurement case

Revenue Operations AI: A Measurable Capacity and Cycle-Time Case

A modeled measurement case for returning seller capacity, shortening pricing approvals, and improving CRM completeness—with every assumption exposed for replacement during Field Discovery.

FIELDRUNTIME / CASE / 01

TRANSPARENCY / NOT CLIENT RESULTS

This is an evidence-ready ROI model, not a claim about a completed client deployment. Every baseline and target is an explicit example assumption. During Field Discovery, each number is replaced with the organization's verified operating data before a business case is approved.

THE OPERATING PROBLEM

Measure the work before changing it.

Account teams lose selling time to research, deal preparation, CRM updates, pricing exceptions, approval follow-up, and repeated handoffs. A governed revenue harness can prepare the work, route exceptions, preserve evidence, and leave relationship and pricing authority with people.

01

MODEL INPUTS

Every assumption is visible.

The starting model

Team modeled
20 account executives
Administrative load
4 hours per seller per week
Working year
48 weeks
Loaded capacity value
$90 per hour
02

OUTCOME MODEL

Targets require evidence.

What the pilot must prove

MetricExample baselineModeled targetEvidence source
Seller capacity consumed3,840 hours/yearReturn 1,536–2,304 hoursCalendar, CRM, and activity sampling
Modeled capacity value$345,600/year$138,240–$207,360 returnedFinance-approved loaded-cost model
Pricing-exception cycle36 hours median12–18 hours medianRequest, approval, and completion timestamps
Required CRM-field completeness68%90% or betterWeekly field-level CRM audit
First-pass deal preparationMeasure first 30 cases+20 percentage pointsOperator acceptance and rework log

THE VALUE MODEL

A calculation the CFO can challenge.

20 sellers × 4 hours/week × 48 weeks × $90/hour = $345,600 annual capacity exposed to the workflow.

At 40–60% capacity recovery, the modeled annual value is $138,240–$207,360 before counting faster approvals, conversion, margin, or forecast improvement.

HUMAN AUTHORITY + CONTROLS

  • People retain pricing, negotiation, customer-relationship, and commitment authority.
  • Deterministic rules validate required fields, approval thresholds, and margin boundaries.
  • Every recommendation cites account context and preserves the approval trail.

MEASUREMENT PLAN

Turn the model into evidence.

  1. Baseline two representative weeks before changing the workflow.
  2. Shadow the system against live deals before permitting write actions.
  3. Compare assisted and unassisted cohorts for cycle time, rework, and completeness.
  4. Review exceptions and operator corrections weekly; convert validated failures into evals.

Replace assumptions with your operating data.

Map the real workflow and build the evidence case.

Bring one repetitive, expensive, or consequential workflow. We will map what stays human, what becomes reliable software, where AI creates measurable value, and what evidence will make the system improve.

ONE WORKFLOW / PLAIN LANGUAGE / A PRACTICAL NEXT STEP