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AI WORKFORCE ROI · SCENARIO MODEL

Make the business case.
See the assumptions.

This ROI calculator is a model you drive with your own assumptions, not a benchmark: it estimates the capacity and cost effect of handing one responsibility to an AI employee. Estimate the capacity and cost impact of one responsibility. Change the assumptions to match your workflow, including human review and operating costs. These sample values are not a quote or a performance benchmark.

Your scenario

All money values are INR. Results update as you edit.

Count one consistent unit of work, not messages and completed cases together. Range: 010,00,000.
Average active labor time, excluding elapsed waiting time. Range: 0480.
Include salary and overhead once. Do not add a separate per-task labor cost. Range: 01,00,000.
Your scenario assumption, not an UnleashX performance benchmark. Range: 0100.
Average review, rework and exception effort across AI-handled tasks. Range: 0480.
Use 0 if staffing costs remain unchanged. Freed time alone is not cash savings. Range: 0100.
Include platform, usage, third-party services and additional operating costs. Exclude labor already modeled above. Range: 01,00,00,000.
Include integration, configuration, evaluation and implementation effort. Range: 010,00,00,000.

Modelled results

250 hMonthly capacity change
₹32,500Monthly net savings · before setup
₹3,30,000First-year net savings · including setup
78.6%First-year ROI

This scenario produces positive first-year net savings under the entered assumptions.

Monthly cost comparison

Includes one-twelfth of setup cost in the AI scenario.

Current labor baseline₹2,50,000
AI scenario · modelled cost₹2,22,500
Current labor hours / month
500
Remaining labor hours / month
250
Realizable labor savings / month
₹62,500
Year-one AI + implementation cost
₹4,20,000
Simple setup payback
1.8 months

Assumes steady monthly volume and impact from month one. Excludes revenue uplift, taxes, financing and ramp-up. Negative capacity means additional human effort. This is not a commitment to headcount reduction.

CHECK THE MATH

No hidden coverage or savings rates.

Use one labor baseline and count costs once. Validate the assumptions against actual tasks before making a purchasing decision.

How are time and savings calculated?

Baseline hours = monthly tasks × manual minutes ÷ 60. Remaining hours = tasks × [(1 − AI coverage) × manual minutes + AI coverage × human review minutes] ÷ 60. Freed hours are the difference. Positive freed hours × hourly cost × realization rate gives realizable labor savings. Added hours are charged at the full hourly cost.

How are ROI and payback calculated?

Year-one investment = 12 × recurring AI costs + setup cost. First-year net savings = 12 × realizable monthly labor savings − year-one investment. ROI = net savings ÷ investment × 100; it is undefined when investment is zero. Simple payback = setup cost ÷ positive monthly net savings. It assumes a steady state, not a ramp-up forecast.

Why separate freed capacity from cash savings?

Saving time does not automatically reduce payroll or operating spend. The realization input represents the portion you can actually remove from costs or avoid spending. Use zero when all freed time is redeployed without a cost change; the calculator will still show the capacity benefit.

Are these UnleashX prices or customer results?

No. Every starting value is illustrative and editable. Confirm a scoped proposal separately, then replace the assumptions with measured pilot data. The model does not infer performance from your industry or employee name.