Department AI Plan

Live Games AI Implementation Plan

Use AI to support table performance review, hold explanations, dealer error tracking, player rating consistency, pit handovers, and dispute documentation without touching live table decisions.

Send Me This Department Problem Back to All Department Plans

Leak points

Where the Money or Risk Leaks

Weak hold explanations get blamed on luck without checking pace, ratings, game mix, staff behavior, or fills and credits.
Dealer errors are written down inconsistently and rarely become training patterns.
Player ratings vary by supervisor and create comp and theo disputes.
Floor handovers depend too much on personality and memory.
Dispute notes are often written after the emotion, not during the facts.

Safe first use cases

AI Use Cases That Do Not Disturb the Floor

These uses support managers and staff. They do not replace human approval or live operating judgment.

Table performance review notes by game and shift.
Hold percentage explanation drafts for managers.
Dealer error summaries and training follow-up lists.
Player rating consistency checks using samples.
Fill and credit pattern review.
Supervisor handover note builder.
Dispute documentation templates.
Pit boss decision-support checklists.

Data limits

What Data Is Needed

The first review can begin without live system access. Use sample exports, anonymized reports, screenshots, manually prepared examples, or existing procedures.

Daily table reports
Shift notes
Dealer error logs
Player rating samples
Fill and credit records
Dispute reports
Existing procedures

First build

What I Would Build First

A live games shift report and KPI explanation assistant that turns table numbers, incidents, fills, credits, dealer notes, and handover comments into a clean manager summary and next-day review list.

The safe rule

Build offline first. Test with real examples. Keep the manager in control. Then decide if it is useful enough to expand.

Trust line

What Not to Automate Too Early

Do not automate live table decisions.
Do not automate player backing-off decisions.
Do not decide disputes without human review.
Do not turn observations into accusations.

30-day pilot

A Practical 30-Day Pilot Plan

Week 1

Review

Review the current process, reports, handovers, and examples.

Week 2

Prototype

Build a simple offline workflow using limited data.

Week 3

Test

Run real examples through it and compare against human judgment.

Week 4

Decide

Document what worked, what failed, and whether a next step is worth paying for.

Management value

How This Helps Management

Cleaner handovers
Better hold discussions
More consistent ratings
Improved dealer coaching
Faster dispute documentation