AI coding ROI calculator
Your team's numbers
Move a slider or type a number. The estimate updates as you go.
Everyone with a seat for an AI coding tool.
For example: Cursor Teams $40, Copilot Business $19, Claude varies by plan. List prices checked October 2026.
CloudByte AI measures this for you.
Start conservative, then replace it with measured data.
Salary, benefits and overhead, divided by working hours.
Your estimate, per month
Net monthly value
$11,792
Value of hours saved minus AI tool spend and the Team plan.
- Value of hours saved
- $12,892
- Hours saved per month
- 152 h
- AI tool spend
- $1,000
- Spend on inactive seats
- $300
- 7.5 seats not active weekly
- ROI multiple
- 12.9×
- Value ÷ AI tool spend
- Break-even
- 0.17 h
- About 10 minutes a week per active developer.
Recommended CloudByte AI plan
Team
$100/month billed annually ($110 billed monthly). One flat price for 21 to 50 developers, with token spend and ROI analytics.
Start 14-day trial- Up to 5 developers? The Free plan costs nothing and includes session tracking and basic AI insights, but not token spend and ROI analytics.
- Startup? $5/month: Starter plan for the first 12 months (90% off). Check eligibility
These are estimates from your own inputs, not measured outcomes and not a promise of results.
How do you calculate AI coding ROI?
Divide the value of the engineering time AI saves by what you spend on AI tools. The value is the hours saved each month times what an engineering hour costs you; the spend is seats times the price per seat. A multiple above 1× means the time saved is worth more than the tools cost.
The calculator also shows spend on seats nobody uses, a net figure after tool spend and the CloudByte AI plan that fits your team, and the break-even point: the weekly hours each active developer must save to cover both. Every figure is per month.
For a longer walk-through with worked examples, read How to Calculate AI Coding ROI: A Framework for Engineering Teams.
How we calculate this
- Hours saved per month
- Developers × share active weekly × hours saved per week × 52 ÷ 12
- Value of hours saved
- Hours saved per month × cost per engineering hour
- AI tool spend
- Developers × tool cost per developer per month
- Spend on inactive seats
- Developers × (1 − share active weekly) × tool cost per developer
- ROI multiple
- Value of hours saved ÷ AI tool spend
- Net monthly value
- Value of hours saved − AI tool spend − CloudByte AI plan price
- Break-even hours per active developer per week
- (AI tool spend + plan price) ÷ (developers × share active weekly × cost per hour × 52 ÷ 12)
Where a figure would mean dividing by zero, it shows n/a. The plan price is the annual-billing monthly price from our pricing page; Enterprise has no list price, so its net value is shown before your contract. These are estimates from your own inputs, not measured outcomes and not a promise of results.
Why measured ROI beats an estimate
An estimate is only as good as its two softest inputs: how many developers really use AI each week, and how many hours it saves them. Most teams guess both, and a small change to either one swings the result.
CloudByte AI replaces the guesses with your own data. An agent on each developer machine captures every Claude Code and Cursor session, so weekly activity is counted rather than assumed. AI Insights estimates the hours saved from every prompt your team sends and sets them against what the team actually spent on AI, per team and project.
What counts as an inactive seat?
A seat you pay for that nobody used in a given week. In this calculator, every developer outside your weekly active share counts as an inactive seat, and spend on inactive seats is their share of the tool bill.
Seats go quiet for ordinary reasons: a tool that was never installed, a trial that stalled, a developer who switched tools or changed teams. CloudByte AI shows active days per developer and an idle-seat report ahead of every renewal, and Agent Health makes sure a broken install never looks like a developer who stopped using AI.
AI coding ROI questions, answered
What a good ROI looks like, how many hours AI saves and how to measure it for real.
Any ROI multiple above 1× means the time saved is worth more than the tools cost, but there is no universal benchmark. It depends on how many developers use the tools weekly, the work they do and what an engineering hour costs you. The lower the break-even figure, the easier the case.
It varies widely by developer, codebase and kind of work, so any single figure is a guess. Start with a conservative number here, then measure your own: CloudByte AI estimates hours saved from the prompts your team actually sends, per developer and project, so the assumption can be replaced with your data.
Enter the monthly per-seat cost of the tool, how many developers use it each week and the hours it saves them. The formula is the same for any AI coding tool: the value of hours saved divided by tool spend. For measured numbers, CloudByte AI captures Claude Code and Cursor sessions and works out ROI from them.
Claude Code analyticsA paid seat that nobody used in a given week. The calculator treats every developer outside your weekly active share as an inactive seat and multiplies them by the per-seat cost. CloudByte AI shows active days per developer and an idle-seat report before each renewal, so you can reclaim seats with evidence.
Ghost seats: reclaim unused AI licencesTrack what actually happens. The CloudByte AI agent captures every AI session on each developer machine and prices its tokens, and AI Insights sets the hours saved, estimated from every prompt, against what the team spent on AI, per team and project. ROI and spend analytics are included from the Starter plan.
AI coding ROI and adoption metricsFurther reading
Deeper guides on working out AI coding ROI and reclaiming unused seats.
Swap the estimate for your team's real numbers.
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