ROI calculator
See what your team gets back.
Quick math on the hours and cost you'd recover from a Nexera AI implementation. Drag the sliders, the numbers update live. No email required.
Your numbers
Annual hours back
1,200 hrs
hours per year your team gets back across the org
Annual cost saved
$78K
Roughly $7K per month in time recovered.
Payback
add your current AI spend to see this
Once you enter a monthly AI spend above, we estimate how long until savings cover that cost.
An estimate of time that could be freed if the tools are adopted and used, not a guarantee. See how this is calculated below.
Want a tailored plan with the actual tools and workflows for your team?
How this is calculated
Annual hours back = team size × repetitive hours per week per person × 50% × 50 working weeks per year.
The 50% is the share of your targeted repetitive hours that AI realistically takes off your plate, not a claim about your whole job. We anchor it on a Penn Wharton synthesis of real deployments, where task-level time savings average around 25% and run as high as 55% on the work best suited to automation. We use 50% because the tasks we target (drafting, data entry, retrieval, status updates) sit at the automatable end, and we stop there rather than quoting the headline highs.
Annual cost saved = annual hours back × your loaded hourly cost (wage plus benefits and overhead). The $65 default is a conservative blend: about a $50 wage times a 1.3x load. The U.S. Bureau of Labor Statistics puts the real loaded cost of a professional worker near $77 an hour, so $65 is deliberately cautious.
Payback months = current monthly AI spend ÷ monthly cost saved. Hidden until you enter a current spend. We don't quote Nexera prices here on purpose. The consult is where scope and cost get talked about.
This is a projection, not a quote. It estimates time that could be freed if the tools are adopted and used. We lead with conservative, sourced numbers so the figure you see is one we can stand behind.
Sources: Penn Wharton Budget Model (2025); U.S. BLS Employer Costs (2025); NBER, Generative AI at Work (2023).