AI Training ROI Calculator
Build an illustrative AI training ROI scenario using transparent inputs and editable planning assumptions. Use it to structure a budget discussion — not as a forecast or guarantee.
Your inputs
Describe the team you are planning for. Every figure below is yours to set — nothing here is a benchmark.
Number of people you plan to put through the programme.
Pre-filled example — adjust for your team. The share of the target team you assume will actively use AI after training. This is your own planning assumption, not an industry benchmark.
Advanced assumptions
These values drive the calculation. They are editable planning assumptions — not survey findings, benchmarks or measured results. Selecting a different team function updates only the first two fields to that function's illustrative preset and leaves your other four settings untouched. The reset button below restores all six to the selected function's starting scenario.
Time currently spent on repetitive work that AI could assist with.
Share of those manual hours the scenario assumes AI absorbs.
Share of released time treated as usable business value. The rest is absorbed by overhead and variability.
Your planning figure for programme cost per person.
Floor applied when the per-person total falls below a viable cohort cost.
Used to convert annual salary into an hourly cost.
Fixed conversion conventions. The model uses 52 working weeks per year and 4.3 weeks per month. These are disclosed conventions, not editable fields. The 52-week figure cancels out of the annual value specifically — it appears in both the hourly-cost divisor and the annualisation multiplier, so annual value equals the saved share of a working year multiplied by annual salary. It still affects payback, where it converts annual value into a weekly value before 4.3 weeks per month converts the result into months.
How this model works
This is an illustrative planning model, not a forecast. It turns the inputs and assumptions you set into a scenario you can take into a budget discussion. The calculator shows its user inputs, editable assumptions and fixed conversion conventions so you can see how the scenario is produced.
- •Employee cost is derived from the salary band you select and the standard working-hours assumption, giving an implied hourly cost. Each displayed salary range uses the single exact planning value shown in the option — for example the ₹8–16 LPA band models ₹12 LPA. These are point values chosen to represent each band, not averages or benchmarks.
- •Time saved is a scenario assumption you control — the manual hours per week and the share of those hours the model treats as AI-assisted. Selecting a team function loads an illustrative starting scenario for these two fields, which you can then override; your other assumptions are left as you set them.
- •Adoption sets how much of the target team is included in the modelled benefit. At 60% adoption, only 60% of the team's potential saving is counted.
- •Productive-use conversion sets how much released time is treated as usable business value, rather than absorbed by overhead, context switching and variability.
- •Training cost is an editable planning assumption — a per-participant figure with a minimum cohort investment applied, whichever is higher. It is not a quote.
- •Fixed conversion conventions. The model annualises over 52 working weeks and converts payback to months at 4.3 weeks per month. These are disclosed, not editable. The 52-week figure cancels out of the annual-value result because it appears in both the hourly-cost divisor and the annualisation multiplier, but it still shapes the payback period.
- •This model excludes quality improvement, error reduction, employee experience and revenue effects because they require organisation-specific evidence.
The values it starts with are planning defaults, not survey findings, industry benchmarks or measured client outcomes.
Want a detailed ROI analysis built on your team's specific numbers? Contact us for a custom proposal →