Name the work, the two team models, the demand, and the safety gates.
Define the operating decision.
Describe the work and the change leadership is considering. The result is only as useful as the outcome and quality bar you define here.
Self-reported operating context
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Protect the comparison before the test begins.Use matched work packets and one acceptance standard. Do not let the AI pod receive easier work, extra experts, or a looser definition of done.
Inputs are stored locally in this browser. No business data is submitted.
Reverse the order.
Two lanes reduce the chance that easier work, team learning, or the timing of a busy week gets mistaken for an AI effect.
Recommended minimum · two matched lanes
Lane
Period 1
Period 2
A
Current operating teamMatched work packet A1
AI-enabled podMatched work packet A2
B
AI-enabled podMatched work packet B1
Current operating teamMatched work packet B2
Unchecked controls lower the evidence grade. They do not automatically invalidate the trial, but they limit what leadership can conclude.
Enter the four trial cells.
Use aggregate measured results from each matched packet. Human hours include direct work. Review and rework are entered separately so hidden AI work stays visible.
Measured or observed evidence · user supplied
i
Employee load is a signal, not a clinical measure.Ask each participant to rate the period from 1, sustainable, to 5, overloaded. Average the responses and preserve the raw notes outside this tool.
Do not enter personally identifiable employee data. Keep the evidence pack at the team and work-packet level.
Decide from accepted work, not activity.
The decision combines operating results, safety gates, capacity, and evidence strength. It does not assume that fewer seats are automatically better.
Calculated from user-supplied evidence
AI acceptance rate0%Current: 0%
Human hours per 100 accepted0Current: 0
AI escaped-error rate0%Current: 0%
AI period incidents0Current: 0
AI employee load0Current: 0
Observed staffing floor0 seatsAt required weekly demand
Operating model comparison
MeasureCurrentAI podFinding
Decision gates
Required next actions
30-day crossover protocol
- Days 0 to 3: Freeze the decision contract. Match packet difficulty, acceptance rules, risk boundaries, and rollback ownership.
- Days 4 to 10: Run period 1 in both lanes. Capture every review, rework, interruption, escaped error, and incident.
- Days 11 to 13: Review only safety events. Do not tune the scoring rules after seeing which model won.
- Days 14 to 20: Reverse the operating models and run period 2. Keep volume, complexity, and reviewers comparable.
- Days 21 to 24: Reconcile logs, investigate missing evidence, and repeat any packet corrupted by outages or unusual staffing.
- Days 25 to 30: Make a go, extend, redesign, or stop decision. Preserve the current operating option until the new model clears every approved safety gate.
Leadership memo
Exports label context and trial data as user supplied, calculations as deterministic, and employee load as self-reported.
Does the org change survive a hostile review?Bring Aule the evidence pack to challenge the work packets, safety gates, staffing floor, and rollback plan before roles or headcount change.
Review the operating evidence ↗