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Simulation Lab

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Minds Eye Consultant

Matthew Mondzelewski

Consultant · Prototype workspace

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Client Portal / Programs / AI-Assisted Customer Service

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.