1. Recover capacity
Monthly tasks × (human minutes before − human minutes after) ÷ 60. Include human review, corrections, and work on failed attempts in the after figure. Use the same quality bar on both sides.
AI economics / Scenario calculator
Model one workflow with your own numbers. Include the people, the software, and the cost of getting it running. Then test those assumptions in a real deployment.
Explore the business case
Your assumptions
All starting values are illustrative. Costs are your assumptions, not YABANIN prices. Values stay in your browser and are not saved or sent to analytics.
The method behind the numbers
Monthly tasks × (human minutes before − human minutes after) ÷ 60. Include human review, corrections, and work on failed attempts in the after figure. Use the same quality bar on both sides.
Recovered hours × fully loaded hourly cost × the share converted to financial value. Treat unreallocated time as capacity, not cash savings. If AI creates extra human work, its labor cost is counted in full.
Monthly tasks × variable AI cost per task + additional monthly fixed costs. Subtract this from the financial value of capacity to get monthly net benefit. Include licensing, infrastructure, support, and operations once.
Payback = setup cost ÷ positive monthly net benefit. First-year ROI = (12 × monthly net benefit − setup cost) ÷ (setup cost + 12 × recurring AI costs). The result is a modeled return on incremental AI investment.
This model assumes constant monthly activity from the start. It excludes financing, taxes, discounting, and unquantified revenue or risk benefits. Separate adoption ramp-up and changing costs in a detailed business case.
From a scenario to operating evidence
YABANIN records model usage, price coverage, latency, and errors, with analytics grouped by task, team, or agent. Raider adds engineering run results, checks, and execution traces.
Explore usage analytics →The process baseline, labor costs, actual adoption, accepted outcomes, and the value realized from recovered capacity. Combine these with implementation and operating costs to assess the return.
Plan a measured deployment →Put the platform to work
Bring a workflow and the assumptions that matter to your business. We’ll discuss the data needed to validate them.