Agentic ROI Casino

Where will you hit the jackpot?

Choose a business area to explore ready-to-play agent examples or build a custom ROI scenario.

Exploring

Agentic ROI Jackpot

Set your assumptions, pull the reels, and see whether your AI investment hits the jackpot.

Featured use cases

Select one to load its assumptions and automatically pull the reels.

Inputs

Base salary for the person benefitting from AI assistance.
This determines the estimated AI cost each time the agent helps.
How often the agent is used each workday.
Estimated time saved each time the agent helps.
Total app page loads across the organization each workday.
Cost to run the initial agent query or recommendation layer when the page loads.
Time saved from surfacing recommendations, exceptions, or next actions immediately.
Average number of user-triggered AI assists after viewing the page.
Cost for recommendations, summaries, updates, or actions triggered from the page.
Estimated time saved when a user acts on a recommendation.

Built-in assumptions: 2,080 working hours per year, 260 workdays per year, and 30% overhead on top of base salary.

Employee Cost Per Minute
Loaded salary ÷ 2,080 hours
Seconds to Break Even
Time savings needed per assist
Annual Net Savings
Jackpot — a winning business case!
Official ROI Jackpot Claim Ticket

You found a winning use case

Save these results, then contact Michael to turn the projected value into an implementation plan.

Scenario
Employee Cost Per Minute
Seconds to Break Even
Annual Net Savings
Return on Investment
  1. Choose Print / Save as PDF and save your claim ticket.
  2. Open the prepared email and attach the saved PDF.
  3. Work with Michael to validate assumptions and plan the agent implementation.

ROI Report

Task Credit Consumption

Savings Over Time

Period AI Cost Labor Savings Net Savings