Enterprise
Brex cut operational overhead by 60% in 90 days.
Discover how Brex cut operational overhead by 60% in just 90 days using AI-powered process automation.
Brex was supposed to be the company that helped other businesses eliminate financial bureaucracy. Their marketing proclaimed "finance teams that move at the speed of business." Yet internally, Brex's own operations department had become the very thing they sold against: slow, expensive, fragmented, and drowning in manual workarounds.
This is the story of how Brex didn't just trim fat they rebuilt their entire operational architecture from the ground up.
Finance Operations Team (14 people)
Eight of them spend more than sixty percent of their time on manual data entry, reconciliation work, and moving information between systems that don't talk to each other.
We're using five different tools for expense management alone because we acquired functionality through three separate product purchases over two years, and none of them fully replaced the others.
Every month-end close requires twelve people working weekends. We're a fintech company, and our own finance team is doing work that looks like it's from 2015."
Specific pain points she documented:
Invoice processing: 2,847 invoices per month processed manually, averaging 8 minutes per invoice = 379 hours monthly (nearly 10 full-time equivalents worth of effort)
Expense report auditing: 1,200+ employee expense submissions monthly requiring manual review against policy, receipt matching, and GL coding
Reconciliation: Daily bank feeds required manual matching to 47 different general ledger accounts across four entities
Vendor payments: 340 active vendors with inconsistent payment terms, manual ACH initiation, and no systematic tracking of payment optimization opportunities
Card program administration: Managing 3,400 corporate cards across employees, contractors, and virtual cards with manual provisioning, limit changes, and policy enforcement
Estimated annual cost of Finance Ops: $2.1 million (fully-loaded compensation, tools, and allocated overhead
People Operations / HR Team (11 people)
Jordan Rivera, People Operations Manager, described a similar pattern of manual overload: "We've grown from 800 employees to 2,400 in eighteen months.
Our HRIS is supposed to handle most of what we need, but we've layered so many custom processes on top that we're basically running parallel systems. Onboarding a single new hire touches seventeen different manual steps across six different platforms.
Off-boarding is even worse because nobody documented half the access revocation requirements."
Key inefficiencies identified:
Employee onboarding: Average 47 hours of HR staff time per new hire across document collection, equipment provisioning, system access setup, benefits enrollment guidance, and orientation coordination. With 45-65 new hires monthly, this consumed 2,100-3,000+ hours monthly
Off-boarding: Inconsistent processes led to 23% of departing employees retaining access to systems beyond termination date (identified during a security audit)
Benefits administration: Manual enrollment changes, dependent verification, and carrier reconciliation consumed 180 hours monthly
Time and attendance: Multi-jurisdictional workforce (US, UK, Canada, remote) created complex compliance requirements handled largely through spreadsheets
Performance review coordination: Semi-annual process required 320 hours of HR administrative time for scheduling, reminder management, and documentation collection
Estimated annual cost of People Ops: $1.6 million
Procurement and Vendor Management (6 people)
Raj Patel, Procurement Lead, explained the fragmentation: "Every department buys whatever software they want, negotiates their own contracts, and sends invoices to finance without any centralized visibility. We have 187 SaaS subscriptions across the company.
Forty-three of them are duplicates, multiple tools doing the same thing for different teams. We're spending an estimated $4.2 million annually on SaaS tools alone, and my best guess is that 25-30% of that spend is redundant or unused."
Diagnostic Deep-Dive and Opportunity Mapping
Elena's first ten days followed a rigorous diagnostic methodology she had refined across previous operational turnarounds. Rather than accepting surface-level descriptions from managers, she wanted a quantified, evidence-based understanding of where time, money, and effort were actually going.
The Time-Motion Study
She engaged three senior analysts to conduct a comprehensive time-motion study across all forty operational team members over two weeks. Each team member tracked their activities in 15-minute increments, categorizing work into:
Value-added work: Activities that directly served customers or employees (processing a payment correctly, resolving a user issue, completing an accurate hire paperwork package)
Necessary supporting work: Activities enabling value-added work but not directly serving recipients (reconciliation quality checks, compliance verification, reporting)
Waste/rework: Activities caused by errors, system failures, missing information, or process gaps (fixing incorrect entries, chasing down missing approvals, duplicate data entry)
Waiting / idle: Time spent waiting for inputs, approvals, system responses, or other dependencies
The results were illuminating and alarming:
Work Category | % of Total Time (All Ops Teams Combined) |
|---|---|
Value-added work | 34% |
Necessary supporting work | 28% |
Waste/rework | 24% |
Waiting / idle | 14% |
Interpretation: Only 34% of all operational time was spent on work that directly mattered. The remaining 66% was overhead supporting overhead.
Story Metadata & Quick Reference
Attribute | Details |
|---|---|
Company Name | Brex |
Industry | FinTech / Corporate Cards & Expense Management |
Company Size | 2,400 employees (at time of transformation) |
Operational Scope | Finance Ops, People Ops, Procurement, IT Operations |
Original Operational Overhead | ~$9.2M annually (including productivity loss) |
Target Reduction | 40% (mandate from C-suite) |
Actual Achievement | 61.7% reduction in 90 days |
Headcount Change | 40 FTEs → 23 FTEs (42.5% reduction, no layoffs) |
Primary Methods | Workflow automation (Workato), tool consolidation, process redesign, org restructuring |
Investment | $444,000 (90-day period) |
Annual Returns | $7,514,000 |
ROI | 15.9x |
Payback Period | ~22 days |
