AI for Team and Tech Leads · 3 to 4 hours
Plan an AI rollout across a support team
Plan a staged rollout of AI drafting, knowledge suggestions, and auto-tagging across a fictional retailer's 64-agent support team before peak season. Set the automation level per queue, size each stage against training, QA, cost, and calendar limits, write gates before results, and lead the people side honestly.
Process design
4 h
Used in interview rounds:
Leadership Scenarios (Hard)1
Step 1: The question
Using the support rollout scenario and the pilot results, plan the rollout of AI drafting, knowledge suggestions, and auto-tagging across the support team. Set an automation level and human checkpoint for each queue and language, size and date each stage against the consultation rule, releasable hours, QA hours, budget, and peak season with the arithmetic shown, and write the gates and stop rules before any results. Then give the people plan (training, SOP updates, workload, and what you tell the team about roles), an owner for each decision, your first-stage decision, and your reply to the COO's slide.
Constraints
- Nothing new goes live from week 9 until peak ends in week 18
- Changes to how work is monitored need 3 weeks of consultation with the staff forum
- Training and the learning dip must fit the releasable hours, with at most 8 agents off the floor per shift
- Spending stays within $1,150 a month (fictional) until a business case after peak
- Permanent headcount is decided by the COO with HR and finance
Deliverables
- Automation level, human checkpoint, and SOP change for each queue and language, with the pilot evidence behind each
- Stage plan on the calendar, with the training, dip, QA, and cost arithmetic
- Gates and stop rules with thresholds, minimum samples, owners, and actions
- People plan: training, champions, consultation, workload during the dip, and what you tell the team about roles
- First-stage decision and the reply to the COO, with an owner for each decision and what would reverse it
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