AI Automation ROI Calculator (India)
Show your CFO the payback period and 3-year ROI of an AI automation project. Transparent math, no signup.
Your project inputs
Numbers update live. Defaults reflect a typical India SMB process.
The team & the task
Salary + benefits + overhead.
Out of 176 working hours per month.
The automation project
Build, integration, change management.
LLM API credits, hosting, third-party tools.
Errors avoided, faster cycle, retention. Optional.
Months before automation goes live.
Add your costs to see the verdict
Enter the monthly cost per person, the one-time setup cost and the monthly running cost on the left. Payback, ROI and the cashflow chart appear as soon as you do.
Like the numbers? We build the automation.
Softechinfra has shipped AI automation for India SMBs and global B2B teams — from RPA to LLM-powered workflows. We scoped, built, and run the automation behind our own product TalkDrill.
Talk to our AI automation teamEstimates only. Real ROI depends on how well the model handles edge cases, change-management cost, integration friction, and whether freed hours are actually redeployed to revenue work. Use this as a directional check, not a board-ready forecast. No discount rate / NPV applied; v1 assumes savings start the month after implementation ends.
How to use this calculator
- 1
Describe the team and the task
Enter how many people do this work today, their fully-loaded monthly cost, and how many hours each spends on the task. Set the % of those hours that are realistically automatable.
- 2
Enter the project economics
One-time setup cost, monthly running cost (API credits, hosting, third-party tools), any other quantifiable monthly savings (errors avoided, faster cycle), and how many months until the automation goes live.
- 3
Read the verdict and the math
The verdict badge tells you whether to build. Three stat cards show payback period, year-1 ROI, year-3 ROI. The cashflow chart shows cumulative savings over years 1–3. Open the "Math behind it" panel to see the full derivation.
- 4
Stress-test your assumptions
Drop the automatable percent by 20 points. Double the setup cost. If the verdict still holds, the project is robust. If it flips to Marginal or Reconsider, the case rests on optimistic inputs and you should pilot before committing.
Frequently asked questions
How is the AI automation ROI calculated?
We compute the value of human hours freed by automation, subtract running costs (LLM credits, hosting), add other quantifiable savings (errors avoided, faster cycle), and compare cumulative net savings against the one-time setup cost. Payback period = implementation months + setup cost / net monthly savings. Year-1 and year-3 ROI = cumulative net savings over that window divided by setup cost. The model assumes 176 working hours per month (22 days × 8 hours) to convert your fully-loaded monthly labour cost into an hourly rate.
What does the verdict tier mean?
Strong yes = payback under 12 months — high-confidence build. Yes = payback 12–24 months — solid project, monitor carefully. Marginal = payback 24–36 months — pilot before full commitment, the assumptions need to be conservative. Reconsider = payback over 36 months or net monthly savings are zero or negative — either trim setup cost, automate a higher-value process, or push more value through other monthly savings (errors avoided, faster cycle time).
What is "automatable percent" and how should I set it?
It is the share of those task-hours that an AI system can realistically take over end-to-end without a human in the loop. Most workflows land at 50–70%: AI handles the routine cases, humans handle exceptions and approvals. If you have not piloted yet, default to 60%. If you have piloted and measured task-completion rate, use that number. Setting this above 90% on a complex process is usually wishful thinking.
Does the model account for change-management cost?
Indirectly — we assume you fold change management (training, documentation, rollout) into the one-time setup cost. Bump setup cost accordingly. We do not model failed-pilot risk; the conservative approach is to run the calc twice with optimistic and pessimistic setup-cost assumptions.
Why is there no NPV / discount rate?
For most AI automation business cases the payback is short enough (under 24 months) that NPV moves the answer by single-digit percent. Adding a discount rate makes the model harder to explain to stakeholders without changing the verdict. If you are comparing this against a multi-year capital project, take the year-3 cashflow into your standard NPV template at your firm's WACC. Discount-rate support is on the roadmap.
Ready to build the automation behind the numbers?
Softechinfra builds AI automation for India SMBs and global B2B teams — RPA, LLM-powered workflows, voice AI, and data pipelines. We run the same automation engine inside our own product TalkDrill, so we know what production looks like at scale.
Talk to our AI automation teamBuilding an AI automation business case?
We help India SMBs and global B2B teams scope, build, and operate AI automation that actually clears the ROI bar — measured, not hand-waved.