Case studies

Real builds. Real businesses. Real numbers.

These examples show the type of operating infrastructure Kuzops builds: custom CRM systems, AI-assisted workflows, dashboards, automation, and fractional CTO leadership. The common thread is simple: every system is designed around how the business actually works.

01 · E-COMMERCE · 2-YEAR ENGAGEMENT

Built complete operations infrastructure from zero

A founder-led e-commerce business needed to stop running on spreadsheets, disconnected tools, and founder memory. Kuzops built the operating layer that connected sales, fulfillment, customer support, and executive reporting.

Results

22 hrs/week saved on manual operations
Custom CRM and AI sales assistant deployed
Scaled from $500k to $3M+ revenue

What we built

→Mapped the full sales-to-fulfillment workflow
→Created a custom CRM around the real sales process
→Automated customer handoffs and internal notifications
→Built dashboards for revenue, pipeline, and fulfillment risk

02 · COACHING · 6-MONTH ENGAGEMENT

AI-powered customer journey for $2M business

A coaching company had strong demand but a messy customer journey. We redesigned the operations layer from inquiry to enrollment, then added AI only where the process was already clear enough to support it.

Results

70% of support tickets handled automatically
40% reduction in manual operations time
Real-time enrollment dashboards for leadership

What we built

→Audited the customer lifecycle and support categories
→Built AI-assisted support routing with escalation paths
→Connected enrollment data into a single operating dashboard
→Trained the team on the new workflow and ownership model

03 · DIGITAL PRODUCTS · MAWER CAPITAL

Tech infrastructure for celebrity-tier brands

As CTO at Mawer Capital, Alex led technology infrastructure for digital-product launches involving Hollywood A-list talent and high-volume customer demand. The work required reliable systems, clean data, and launch operations that could not fail under pressure.

Results

Multi-platform launch automation
Real-time analytics across products
Scalable backend for $50M+ revenue

What we built

→Led architecture decisions across launch infrastructure
→Coordinated execution across specialists and operators
→Built reporting systems for launch performance visibility
→Maintained scalable operations for celebrity-tier digital brands

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