Free tool

Agent ROI calculator

Name: AksharAI
Brand: AksharAI
Price: 7500 INR

Pick the process, then enter the volume, the minutes each item takes, what an hour of your team's time costs, how often work is redone and how much a person still approves. You get the hours and cost saved, the payback against an indicative build and running cost, and the agent that fits.

About 3 minutes. Results are indicative.

The process

Choosing a process fills in example volumes. Replace them with your own.

36.0 h a month₹14,400 a month · payback 7.7 monthsResult

The work today

Volume per month (invoices)

Minutes per itemmin

Time one person spends on one item, start to finish.

Loaded hourly cost₹ / h

Salary, benefits and overheads divided by working hours.

Error or rework rate%

Share of items done again because of a mistake or missing information.

Human approval share%

Share of the agent's work a person checks before it counts. Most teams start at 100%.

Running and build cost

AksharAI plan

Per month, before GST. The whole plan is counted against this one process; with more apps it is shared.

Model usage per month (your estimate)₹

Depends on the provider and the volume. We estimate it with you before you commit.

Who builds it

Build hoursh

Our team works to a 150 hour minimum, paid after you accept the work.

Assumptions you can change Show

Review time, as a share of doing the item%

Checking prepared work is usually quicker than doing it. Set it from a trial if you can.

Items handed back to a person in full%

Cases the agent cannot read or decide with confidence.

Share of today's rework the checks prevent%

Left at 0% by default. Raise it only with evidence from your own trial.

Also show US dollars

Supplier invoices and bills, with an agent

36.0hours saved a month

Down from 57.6 to 21.6 hours of people time on this work.

Team time saved, per month: ₹14,400
Per year: ₹1,72,800
Running cost, per month: ₹10,500
Payback on the build: 7.7 months; Build ₹29,850

The fit

Invoice matching agent, starting from the Invoice matching bot template.

Confidence

A sound basis for a first conversation

Based only on your numbers and published AksharAI prices. Saved time is hours for other work, which is not the same as money saved. GST is extra.

Saves a clean PDF copy

The detailed breakdown

Hours by stage, running costs line by line, net per month and the first year after build. Leave your details and it opens here, and we email you a copy.

AksharAI · Agent ROI summary

Supplier invoices and bills: 36.0 hours saved a month

Team time saved: ₹14,400 a month, ₹1,72,800 a year. Running cost: ₹10,500 a month. Payback on a build of ₹29,850: 7.7 months.

Fit: Invoice matching agent, starting from the Invoice matching bot template.

Your inputs

Process: Supplier invoices and bills. Volume: 400 invoices a month. Minutes each: 8. Loaded hourly cost: ₹400. Rework today: 8%. Approval share: 100%. Review time: 25% of doing it. Handed back in full: 10%. Rework the checks prevent: 0%. Plan: Starter (₹7,500). Model usage: ₹3,000 a month. Build: 150 hours by our team at INR 199.

Confidence

A sound basis for a first conversation.

Indicative, based only on the numbers entered and published AksharAI prices (before GST). Saved time is not the same as money saved. aksharai.com/tools/agent-roi · consulting@codecolonies.com · +91 97234 99901

How this works

What the result is based on

Hours today = volume × minutes per item ÷ 60, plus the rework. With the agent, people still spend time on three things: items handed back in full, reviewing the share of prepared work you set, and any rework that remains. Hours saved is the difference.

Cost saved is those hours multiplied by your loaded hourly cost. Running cost is the AksharAI plan you pick at its published price plus your own estimate of model usage. The build is our team's hours at INR 199, with the 150 hour minimum, or your own team's hours at your hourly cost. Payback is the build divided by the monthly saving after running costs.

The review time, hand back and rework assumptions are visible and can be changed. Nothing here is a promise of savings; we check the numbers against real samples before anyone commits.

Pricing