Five digital-employee rollouts — how to measure them

A digital-employee case should be a measurement design, not a heroic before-and-after story. The five examples below are anonymized playbooks with illustrative ranges. They show what to baseline, what to ship, and how to decide whether a role earns expansion.

For every pilot, measure accepted output and downstream effect. Generated volume alone rewards noise.

Sales: account preparation

Baseline 80–200 accounts per week, 15–30 minutes of research each, inconsistent CRM notes, and delayed follow-up. Ship a role that assembles a sourced brief, proposes qualification fields, and drafts the next message. CRM updates and sends remain Ask.

Track brief acceptance, reviewer minutes, time to first follow-up, field completeness, and meeting conversion against a comparable cohort. A credible target may be 30–60% less preparation time, but the pilot must establish its own result. ROI equals verified time value plus attributable pipeline effect minus full role cost.

Legal: clause comparison

Baseline 30–100 contracts per month with 45–120 minutes spent locating deviations. Ship extraction, clause mapping, and an obligation table against an approved playbook. Counsel handles interpretation and signs off.

Track extraction precision, missed high-risk deviations, review time, turnaround, and cost per accepted comparison. Stop if severe misses exceed the agreed threshold. The value often comes from faster triage and consistent coverage, not replacing legal judgment.

Support: triage and draft

Baseline 500–5,000 monthly requests, first-response delay, routing errors, and repeated questions. Ship classification, approved knowledge retrieval, and cited drafts. Keep customer sends behind Ask during the pilot.

Measure routing accuracy, draft acceptance, time to first response, reopen rate, escalation rate, and reviewer load. Segment by request type; a strong FAQ result should not hide poor billing or safety performance.

Finance: reconciliation packet

Baseline 200–2,000 records per cycle with manual matching and a concentrated month-end backlog. Ship normalization, proposed matches, discrepancy explanations, and an exception queue. Posting and payments remain human-approved.

Measure auto-prepared match precision, exceptions per hundred records, analyst minutes, close duration, and corrected errors. Use deterministic checks for totals and identifiers. ROI includes released capacity and reduced delay, not invented savings from work that still occurs.

HR: onboarding coordinator

Baseline 10–100 starts per quarter, repeated policy questions, missing documents, and manager reminders. Ship a scoped role that prepares checklists, retrieves approved policy, drafts reminders, and flags overdue tasks. Employment decisions and sensitive record writes stay with people.

Track checklist completion, missing-item rate, response time, new-hire satisfaction, and coordinator minutes. Carefully restrict personal data and retention.

Run all five with one pilot frame

On day one, freeze the baseline and select 30–100 representative cases. By day three, encode the procedure as a Neuro OS skill and connect only required sources. Run days four through eight in shadow mode inside isolated sandboxes. Credentials remain outside; connector operations are scoped.

On days nine through twelve, promote reliable low-risk slices while writes default to Ask. Review errors daily and version changes. On days thirteen and fourteen, calculate cost per accepted case, quality, reviewer minutes, cycle-time movement, and downstream outcome. Decide to expand, redesign, or stop.

The numbers do not need to be spectacular. They need to be comparable and reproducible. A modest improvement with clear controls can compound across roles; a dramatic claim without baseline, review cost, or error accounting is not an operating case.

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