Model the impact of shared knowledge in minutes
Adjust team size, salary, and usage assumptions to understand how NeyoBytes accelerates productivity while lowering support and onboarding costs.
Workforce inputs
Tune these assumptions to mirror your organization.
Knowledge workers
Average annual salary (USD)
New hires per month
Support tickets per month
Queries per teammate per day: 9
Minutes saved per query: 12
Cost per AI query (USD): 0.001
ROI snapshot
Net savings include AI query costs for transparency.
$197,976.24
0.0 months
$2,375,714.88
8332.3x
Savings breakdown
Search time savings
$148,500
Onboarding efficiencies
$39,000
Support automation
$8,100
Infrastructure reduction
$2,400
AI query costs
-$23.76
Methodology highlights
Our calculator leans on published benchmarks from McKinsey, Gartner, and internal NeyoBytes usage data. Adjust the sliders above to mirror your environment.
• Search: knowledge workers spend 19% of the week locating information. We assume NeyoBytes cuts each search to two minutes with source citations.
• Onboarding: centralized playbooks and guided reasoning reduce ramp time by ~50% for roles with large SOP footprints.
• Support: teams using AI assistance see 60% faster ticket resolution thanks to contextual responses and saved threads.
• Infrastructure: deduplicated knowledge and focused retrieval lower redundant storage by ~40%.
Ready to turn projections into reality?
Bring these assumptions to a live session and we’ll show how NeyoBytes maps onto your team’s workflows and compliance requirements.
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