See what AI enablement could save your organization. Adjust the inputs to match your team and get instant projections.
Updated September 2026
The model multiplies the hours your team spends on manual, repetitive work by an AI efficiency factor of 45% and by the adoption lift you set — the gap between current and target adoption. That saved time is valued at your team's loaded hourly rate over 50 working weeks, then AI tool licenses and an enablement investment of roughly $2,000 per person are subtracted to give net annual savings, ROI, and payback period.
They are directional estimates built from your inputs, not quotes or guarantees. The purpose is to show which lever matters most for your team — usually adoption rate, not tool cost. Real engagements start with a SINA baseline assessment precisely so results are measured against evidence instead of a model.
The calculator models roughly $2,000 per person for training and setup. For published reference points: Clustr's RevOps AI Build Day is $1,500 per person for a one-day hands-on program, and full enablement engagements are scoped after an assessment — typically 8–12 weeks starting with a single team.
Try it in the sliders: doubling tool spend barely moves the result, while raising adoption from 15% to 80% multiplies it. Licenses are a small, fixed cost; the value is in how many people actually use them daily. That is why Clustr's programs start with people and literacy rather than platform selection.
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