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Minds Eye Consultant
Matthew Mondzelewski
Consultant · Prototype workspace
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Programs / AI-Assisted Retention Experience
HUMAN + AI WORKFLOW
AI-Assisted Retention Experience
Program Owner · Marisol Vega, VP Customer Operations
Model
PROGRAM OBJECTIVE
Validate how retention specialists and AI recommendations work together to retain customers at risk without compromising trust.
FUTURE-STATE HYPOTHESIS
AI recommendations will help retention specialists identify appropriate offers faster while preserving customer trust.
PRIMARY VALIDATION QUESTION
Can retention specialists use AI guidance to identify an appropriate offer, explain it clearly, and handle exceptions while maintaining trust?
Validation targets
Role · Retention Specialist
Workflow · Offer Resolution
Policy · Retention Exception
AI Component · Offer Recommender
Validation Rounds
Round 1 · Baseline
Establish baseline evidence before introducing the updated retention workflow.
5 scenarios · 12 participants · Model
Start with the baseline.
Create another Validation Round when you are ready to test a revised workflow, policy, or system.
Connected scenarios
Browse Scenario Library
AI Copilot Stress Test
5 reusable scenarios · Connected to Round 1
AI Recommendation Conflict
Customer Service · Moderate · Critical Moment: Offer choice
Used in 3 programs
Competitor Offer
Retention Specialist · Advanced · Critical Moment: Counteroffer
Used in 2 programs
Policy Exception
Retention Specialist · Advanced · Critical Moment: Exception handling
Used in 4 programs
Emerging Findings
Evidence and Findings will appear here once simulation activity begins. This program is configured and ready for a future Simulation Run.