Cutting an eight-figure ops bill to six.
Manual work automated across HR, payroll, administration, networking, and finance for a 12,000-employee tech group, with reports that generate themselves.
Operations automation
What they were up against.
A tech group of more than 12,000 employees was carrying an enormous manual-operations load. HR, payroll, administration, networking, and finance were all running on human hours for work that was repetitive, rule-bound, and unforgiving of error.
The monthly operating cost of all that manual effort sat between $6M and $8M. The brief was blunt: bring it down without breaking the departments that depend on it.
How the approach works.
The build went department by department, mapping the repetitive processes and rebuilding them as automations in Automation Anywhere with Python where custom logic was needed. The aim was not a single megabot but a coordinated set of automations that each owned a clear slice of the work.
On-time report generation and self-running maintenance were treated as first-class outcomes, the things that quietly eat the most hours when done by hand.
What it changes.
Across five departments, the monthly operating cost fell from $6-8M to $400-600K, roughly a 15x reduction, with reports arriving on time and maintenance running itself.
The work that used to consume an organization's worth of hours now mostly takes care of itself.