A freight brokerage thought they were 15% inefficient. The real number was 40%.
The operations team ran on four disconnected systems: a TMS for dispatch and load tracking, QuickBooks for billing, a shared Google Sheet for carrier rates, and email as the primary communication layer. Every data point that needed to move between them required a human hand. Load confirmations were copy-pasted into QuickBooks. Rate lookups meant switching applications a dozen times a day. Status updates went out manually after every call.
The founder estimated they were 15–20% inefficient and wanted to validate that assumption before investing in headcount. The Blueprint found the real number was closer to 40% — concentrated almost entirely in invoice reconciliation, a process that had silently absorbed nearly a full-time employee's worth of hours without anyone noticing.
Invoice Reconciliation
Manual three-way matching between TMS loads, carrier invoices, and QuickBooks entries. 8% error rate generating disputes and delayed payment cycles across the portfolio.
Customer Status Updates
Reps pulled load status from TMS manually and composed individual emails. No automation triggered by status changes in the system. Customers calling to check on loads they should already know about.
Carrier Rate Management
Rates lived in a shared Google Sheet maintained manually. No integration with TMS. Outdated rates causing margin leakage on 12–15% of loads.
New Carrier Onboarding
Insurance verification, W-9 collection, TMS setup, and rate entry handled entirely by email and manual data entry. No standardized workflow existed.
Three unprofitable clients hiding in plain sight — and $85K in uninvoiced work at any given time.
The agency ran five separate tools with no connective tissue between them: Harvest for time tracking, Asana for project management, Google Sheets for client reporting, QuickBooks for billing, and individual platform dashboards for media performance. Account managers spent hours each week manually assembling reports and hunting down time entries. Invoices were batched at month-end — 11 days after close on average.
No one had visibility into which clients were actually profitable at the project level. The founding partner suspected a few accounts were underwater but had no data to confirm it. The Blueprint identified three retainer clients whose service hours, when fully loaded, were consuming margin at a rate that made them net-negative to the business — a finding that immediately shifted the firm’s renewal strategy.
Client Reporting
AMs manually pulling data from 4–6 dashboards per client, reformatting into branded decks. No templating, no automation, no reuse across similar account types.
Project Profitability
No real-time view of hours-to-budget by client. Three retainer accounts identified as net-negative when fully loaded labor costs were applied against retainer revenue.
Invoicing Lag
Month-end batching of ~$85K in completed, uninvoiced work. Harvest-to-QuickBooks transfer was manual. Approval routing done via email threads with no SLA.
Client Onboarding
No standard onboarding workflow. New retainer setup required manual creation of Asana projects, Harvest clients, reporting templates, and welcome sequences from scratch.
For PE firms, the Blueprint serves as an operational diligence tool — identifying automation-driven value creation opportunities across portfolio companies before and after acquisition.
Four acquisitions, four parallel systems, and a back-office that had grown 64% just to keep up.
The platform had consolidated branding and management reporting — but the operational core remained four parallel systems. Each acquired company ran its own field service software, its own invoicing process, and its own supplier relationships. The back-office had grown from 11 to 18 people post-acquisition just to manually bridge the gaps. Dispatch was siloed by entity, meaning a technician in one company couldn’t easily cover a neighboring territory managed by another.
Two more acquisitions were in the pipeline. Without operational integration, each new add-on would compound the overhead problem rather than add leverage. The Blueprint was engaged to map the full value creation opportunity and sequence a 12-month automation roadmap before the next close.
Scheduling & Dispatch Fragmentation
Dispatchers couldn’t see cross-entity technician availability. Rescheduling required phone coordination between offices. Roughly 25% of dispatch time spent on inter-company load balancing that should be automated.
Invoicing & Collections
Invoice-to-send cycle ranged from 2 to 14 days across entities. $220K in receivables over 60 days with no centralized follow-up workflow. Collections inconsistency driving significant cash flow drag.
Inventory Blind Spots
No shared inventory visibility across locations. Duplicate ordering identified on high-volume parts. One entity purchasing at retail what another was receiving at contract pricing from the same supplier.
Customer Communication Gaps
Half of acquired locations had zero automated post-service follow-up. Review generation, satisfaction surveys, and maintenance reminders handled ad hoc — or not at all.
2,800 placements a week, 35 minutes of manual matching each — and expired credentials slipping through the cracks.
The platform operated on a legacy ATS that had accumulated seven years of branch-specific workarounds. Recruiters at each location had developed their own screening workflows, their own client communication cadences, and their own interpretations of the compliance checklist. The result: the top-performing branch was filling 94% of orders on time. The lowest was at 71%. No one could explain why — or replicate what the top branch was doing across the others.
Compliance was the hidden liability. Healthcare placements required active certifications, drug screens, and background checks that expired on rolling schedules. The tracking system was a combination of ATS fields and personal spreadsheets maintained inconsistently by individual recruiters. The Blueprint identified multiple instances where workers with lapsed credentials had remained in active placement — a regulatory and client risk the PE firm had not been aware of.
Candidate Screening & Matching
Manual review of ATS profiles, availability calls, and client requirement cross-referencing. No structured scoring. Best-match logic lived entirely in individual recruiter judgment with no documentation or replication.
Timecard Processing
Paper and email timecards manually keyed into payroll. 4.2% error rate generating correction cycles. Approval workflows varied by client, handled via individual recruiter email with no tracking.
Client Communication
Account managers spending nearly a third of their day on status updates, order confirmations, and daily fill reports — all composed manually with no templating or automation in place.
Compliance Tracking Gaps
Certification expiration tracking spread across ATS fields, personal spreadsheets, and recruiter memory. Active placements identified with lapsed credentials — a direct regulatory and client contract risk.