Interactive Tool · Onboarding Automation · ROI
What is slow onboarding actually costing you?
Adjust the sliders to match your organization. Numbers are grounded in real client deployments, not vendor estimates.
Your numbers
Total employees onboarded monthly across all departments.
Total HR and IT staff hours per hire: badge provisioning, access setup, system invites, back-and-forth coordination across teams.
Fully-loaded cost per hour for HR and IT coordinators involved. Default based on BLS 2023 median HR specialist salary.
Incremental monthly cost of the onboarding automation layer. Typically an add-on to an existing physical security or HRIS platform, not the full platform price.
Your savings
Annual cost savings
$0
vs. current state
Hours saved / mo
0
coordinator hours freed
Monthly savings
$0
net of platform cost
3-year ROI
0%
on automation investment
Payback period
0 mo
to break even
Assumes a 70% reduction in coordination time after automation. Based on client deployments at LendingTree, Delta, and Atrium Health. Actual results ranged from 70% to 95% depending on workflow complexity.
Where these numbers come from
Built from real deployments, not vendor marketing
At Vectorflow I ran onboarding automation PoCs and deployments across three enterprise clients. The coordination cost of onboarding a single employee, across HR, IT, and physical security teams, was consistently underestimated. A Slack invite takes a minute. Getting that person the right building access, badge, system permissions, and a manager confirmation that everything is in place? That takes hours of back-and-forth across departments, and it compounds fast at scale.
HR was spending hours per new hire coordinating between IT (system access), security (physical badges), and department managers (Slack groups, email lists, tool invitations). Each step required manual handoffs via email. We automated the full pipeline: a single trigger from the HRIS kicked off badge provisioning, access assignment, Slack group additions, and WhatsApp confirmation alerts to security, all without HR chasing anyone. The result was a dramatic reduction in coordinator time per hire and near-zero dropped tasks at the handoff points.
Delta and Atrium Health were larger, more complex deployments that extended beyond onboarding into visitor management, physical access control, and security check workflows. The onboarding automation was one component of a broader Physical Identity and Access Management (PIAM) rollout. The coordination savings pattern held across both: the larger the organization, the higher the compounding cost of manual handoffs.
How this is calculated
The 70% reduction assumption is conservative. Observed outcomes at client sites ranged from 70% to 95% depending on how manual and fragmented the pre-automation workflow was. I chose 70% because it is defensible in a business case conversation without requiring the best-case scenario. If your process is highly fragmented across many systems, results skew higher. This calculator is a starting point for a conversation, not a signed SLA.
Want to pressure-test these numbers for your org?
I have run this exercise with HR and IT leaders at enterprise accounts. Happy to walk through what a real business case looks like.
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