Nearshore IT Staff Augmentation: The Definitive Guide
The first science-backed book for CTOs, CIOs, and tech founders building elite engineering teams across Latin America—without the noise.
CEO
Lead with a competitive edge.Learn how to leverage AI-vetted LATAM tech talent to accelerate innovation while maintaining strategic control and cost advantages.
CFO
Unlock cost-efficient scaling.Understand the real ROI of nearshore IT staff augmentation—without unpredictable contractor fees or inflated vendor markups
CTO
Build elite nearshore engineering teams.Get a blueprint for hiring senior developers in Latin America using an intelligent, AI-aligned operating model.
CIO
Modernize your tech stack with global teams.Discover how to align human capital strategy with IT governance and enterprise performance benchmarks.
COO
Streamline remote operations.Use our playbook to automate hiring workflows, reduce team turnover, and deliver faster across time zones with nearshore agility.
VP of Engineering
Optimize velocity with vetted talent.Learn how to scale engineering capacity with AI-matched talent pipelines while maintaining code quality and delivery cadence.
What You’ll Learn Inside the Book
The Human Capacity Spectrum™
How to measure reasoning, behavior, and alignment without resumes or job titles—using a real-time capacity framework.
AI-Vetted Hiring System
How our neural models match engineers to business complexity with zero bias and no legacy recruiting fluff.
Nearshore Playbooks That Scale
From contract setup to team delivery—step-by-step frameworks proven across startups and mid-sized tech orgs.
Governance Without Micromanagement
Control, compliance, and visibility across borders—without sacrificing velocity.
Scientific Validation
Learn why our methods are backed by peer-reviewed research on SSRN and trusted by real U.S. tech teams.
Platform-First Infrastructure
Understand how we turned a staffing service into an intelligent OS—and why it beats traditional vendors on every metric.
“The solution lies not in incremental fixes, but in fundamental redesign—one that leverages Artificial Intelligence, integrates operations onto a comprehensive platform, and strategically harnesses the potential of nearshore talent ecosystems like Latin America. That’s exactly what TeamStation AI delivers.”
— Chapter 11, Platforming the Nearshore IT Staff Augmentation Industry
Backed by Research
AI-Driven Talent Data
Our hiring framework is trained on real outcomes—not resumes. It evaluates behavior, reasoning, and team alignment using neural modeling.
Tested With U.S. Tech Teams
From early-stage startups to enterprise deployments, these methods have already powered 20+ LATAM engineering teams for U.S. companies.
The First Staffing OS
This book documents how we built the first intelligent infrastructure for managing Nearshore engineering teams—powered by human capacity modeling.
About the Main Authors
Lonnie McRorey
Co-Founder
Lonnie McRorey, the Co-Founder of TeamStation AI, harnesses over 25 years of extensive technology experience to steer innovation within nearshore software engineering teams. His visionary leadership seamlessly integrates Human-Centered AI, resulting in the delivery of efficient, adaptive solutions. Lonnie's strategic foresight, combined with an unwavering commitment to excellence, has firmly positioned TeamStation AI as a trailblazer in the field of IT staff augmentation. He has a Cogntiive Science Degree from Temple University, Philadelphia, Pennsylvania.
Dan Diachenko
Co-Founder
Dan Diachenko, Co-founder of TeamStation AI, is transforming nearshore software development with AI and machine learning. Since 2017, he has focused on optimizing processes for faster, more efficient software creation. With extensive experience, including roles at the SIM National Chapter Advisory Council and Framework Science, Dan is committed to leveraging nearshore talent for unparalleled visibility and cost-savings. He holds a Bachelors Degree from Rollins College, Orlando, Florida and MBA from Universidad Torcuato Di Tella, Buenos Aires, Argentina