84% Cost Reduction: From 50 Engineers to Elite 8
The Challenge
A B2B SaaS cybersecurity company was struggling with bloated engineering operations, slow deployment cycles, and escalating costs. With 50 engineers, 3-month sprint cycles, and 2+ million lines of legacy code, the organization faced declining velocity, mounting technical debt, and unsustainable operational expenses that threatened profitability and competitive positioning.
Our Approach
We executed a comprehensive AI transformation of the engineering organization, leveraging automation, process optimization, and strategic refactoring. We streamlined the team from 50 to 8 elite engineers, implemented AI-powered development tools, redesigned sprint processes from 3 months to 2-week deployments, and refactored 2+ million lines of legacy code into a lightweight, maintainable architecture.
Conducted comprehensive engineering organization assessment to identify redundancies, inefficiencies, and technical debt
Designed and implemented AI-powered development tools and automation to augment engineering productivity
Streamlined team structure by consolidating roles, eliminating redundancy, and focusing on high-impact engineering talent
Redesigned sprint and deployment processes from 3-month cycles to 2-week agile deployments
Executed strategic code refactoring of 2+ million lines of legacy code into modern, maintainable architecture
Implemented continuous integration and deployment pipelines to support rapid release cycles
Optimized design processes and reduced design overhead while maintaining quality standards
Key Features
AI-powered development tools and automation
Streamlined engineering team structure
Agile sprint processes with 2-week deployment cycles
Legacy code refactoring and modernization
Continuous integration and deployment pipelines
Process optimization and efficiency improvements
Impact & Results
Reduced engineering headcount by 84% (50 to 8 engineers) while increasing development velocity by 3x through AI automation and process optimization
Accelerated deployment cycles from 3 months to 2 weeks, achieving a 6x improvement in release frequency
Refactored 2+ million lines of legacy code into a modern, maintainable codebase, reducing technical debt by 70%
Achieved 40% revenue growth in the first year through improved operational efficiency, faster time-to-market, and reduced costs
Reduced engineering costs by $2.5M annually while maintaining and improving product quality
Eliminated engineering redundancy and streamlined design processes, reducing operational overhead by 60%
Improved code quality metrics: reduced bug rate by 45%, increased test coverage to 85%, and cut deployment failures by 80%
Technologies & Capabilities
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