Operational Excellence

Frequently Asked Questions

What is operational excellence and how does it create value in PE?

Operational excellence is the systematic pursuit of doing work faster, cheaper, and with fewer errors through standardized processes, automation, and continuous improvement. It creates PE value by improving unit economics — doing more with less while maintaining or improving quality. Aon's operational consolidation through Aon Business Services grew revenue 21% to $13.4B while expanding adjusted operating margin 310 basis points to 31.6% and generating $3.2B in free cash flow. The three primary operational excellence levers are workflow automation (eliminating manual steps), quality and reliability (reducing rework and defects), and cycle time reduction (accelerating throughput). PE firms value operational excellence because improvements are measurable, sustainable, and they compound — a company that automates a process, improves its quality, and reduces its cycle time simultaneously achieves multiplicative, not additive, gains.

How does workflow automation improve operational performance?

Workflow automation replaces manual, repetitive process steps with technology — reducing cost, improving speed, and eliminating human error. Maximus used automation to grow revenue from $3.5B to $4.6B by enabling higher-volume government contracts without proportional headcount increases. Fujitsu reduced human-handled IT tickets by 20-30% while improving first-contact resolution from 55-60% to 70-75%, significantly reducing cost per service interaction. Loomis achieved record SEK 30.4B revenue with EBITA margin reaching 12.0% through cash management automation. The most successful automation programs target high-volume, rules-based processes where consistency matters: claims processing, ticket routing, data entry, compliance checking, and document generation. Key success factors include process standardization before automation, starting with the highest-volume processes, and measuring both cost savings and quality improvement.

How do companies improve quality and reliability at scale?

Quality at scale requires systems and processes, not individual heroics. The most effective approaches combine certification frameworks, automated quality checks, and performance measurement. Cognizant maintained CMMI Level 5 — the highest process maturity rating — for eight consecutive assessments across 20+ years while scaling from 38,000 employees and $2B revenue to 355,000 employees and $19.4B revenue. Teleperformance achieved ISO 9001 certification across 90%+ of delivery centers, improving first-call resolution from 72% to 81% and customer satisfaction by 8 points while increasing revenue per agent 12%. WNS Holdings achieved 87% of insurance claims eligible for straight-through processing with 60% operational efficiency improvement. The key insight is that quality and cost reduction are complementary, not competing — automated quality checks catch errors earlier when they are cheaper to fix.

What is cycle time reduction and how does it drive revenue?

Cycle time reduction accelerates the time from order to delivery, from inquiry to response, or from start to completion of any business process. It drives revenue by enabling a company to serve more customers with the same capacity. Randstad reduced average time-to-fill by 40% (from 8.2 to 4.9 days), improving fill rates from 78% to 89%, increasing revenue per recruiter by 22%, and generating an estimated EUR 180M in incremental annual revenue. ManpowerGroup reduced time-to-fill by 31%, estimating $200-250M in annualized revenue acceleration. The Adecco Group's digital transformation contributed to market share outperformance of 830 basis points and record group revenue of EUR 23.96B. Cycle time reduction is uniquely valuable because it improves both the cost side (more output per resource) and the revenue side (faster fulfillment captures demand that competitors lose).

How should companies prioritize operational excellence initiatives?

Prioritize by impact-to-effort ratio and sequencing dependencies. Start with measurement: you cannot improve what you do not measure. Cushman & Wakefield's analytics platform reduced data gathering time 40-50% and established baselines for improvement. Then target the highest-volume processes for automation — these deliver the largest absolute savings. Maximus and Genpact both targeted their core delivery processes first. Quality improvements should follow automation, as automated processes are easier to monitor and control. Cycle time reduction often comes last because it requires both process redesign and technology enablement. A useful framework: in months one through three, establish measurement baselines and identify quick wins. Months three through nine, deploy automation on highest-volume processes. Months nine through eighteen, implement quality management systems and begin cycle time optimization.