Fernando Pérez

• 30% — Reduction in Monthly OPEX
• 6 Months — To Achieve 100% Stabilization

A major Caribbean manufacturing group was paralyzed by a 4-year stalled Epicor Kinetic ERP implementation. The project was bleeding capital with millions in sunk costs and no tangible go-live date. Deep stakeholder misalignment and vendor conflicts threatened business continuity and operational stability.

Assumed control as Interim CTO to execute a high-velocity turnaround. Implemented “Kill-Switch” protocols to immediately stop funding for non-critical scope. Enforced strict Stage-Gate governance to realign the C-Suite and prioritize financial impact. Restructured vendor contracts and deployed a focused 6-month critical path roadmap.

Delivered full system stabilization in just 6 months, recovering a 4-year backlog. Reduced monthly operational expenses (OPEX) by 30% by eliminating “zombie initiatives.” Restored full business continuity and data integrity for financial reporting.

• 1,500+ — Enterprise Clients Migrated
• 99% — On-time Go-live Rate
• 4.5/5 — Customer Satisfaction Score (Up from 2.5)

The objective was to migrate a massive portfolio of 1,500+ enterprise clients to the SAP Private Cloud (HEC). The existing process was manual and fragmented, leading to low customer satisfaction (CSAT 2.5). Any downtime during migration posed a severe risk to client revenue and reputation.

Engineered the “Migration Factory” model to solve resource bottlenecks caused by massive client acquisition.
Standardized global execution and automated provisioning to scale delivery capacity instantly.
Led a distributed high-performance team of 30+ consultants to stabilize operations during the surge.

Achieved a 99% on-time go-live rate across the entire portfolio with zero critical downtime.
Elevated CSAT scores from 2.5 to 4.5 through rigorous delivery excellence.
Protected millions in annual service revenue by stabilizing the path.

• $1.5 Million — New ARR via Enterprise Contracts
• 40% — Reduction in Client Onboarding Time
• 98% — Compliance with Fortune 500 Standards

A B2B fintech scale-up needed to pivot to Enterprise clients but lacked the integration architecture for SAP/Oracle. Sales were stalled as the product failed technical due diligence for Tier-1 corporate accounts.

I architected a middleware data layer for seamless API connectivity with Fortune 500 ERPs. Directed Agile squads to rebuild core infrastructure, reducing technical debt and redesigning onboarding to meet strict Enterprise SLAs.

Unlocked Tier-1 acquisitions, securing $1.5 million in new ARR. Reduced enterprise onboarding time by 40%, accelerating revenue. Positioned the company as a compliant, Enterprise-grade player in the B2B payments space.

• $2.2 Million — Funding Secured via Partnerships
• 1st — Regional AI Maturity Methodology Defined
• 10+ — Industrial Use Cases Defined

The regional manufacturing sector lacked a centralized ecosystem to accelerate AI adoption. Without a roadmap to transition from legacy operations to Industry 4.0, industrial clients faced a significant gap in digital maturity.

I orchestrated a public-private consortium to fund and build a $2.2 million AI Innovation Hub. I designed the operating model and technical roadmap, leading a think-tank of PhDs to define the region’s first Digital Maturity Assessment methodology.

Successfully launched the center, securing long-term funding. Accelerated AI adoption for local manufacturers through standardized assessments and established a scalable framework for public-private technology collaboration.

• 29% — Reduction in Equipment Downtime
• 17% — Optimization of Maintenance Spend
• Full — Roadmap Approval for Industry 4.0

A Tier-1 Automotive supplier faced high production risks due to supply chain volatility. Unexpected equipment failures caused costly downtime and threatened delivery SLAs, worsened by a reactive, inefficient maintenance strategy.

I led the roadmap to shift from reactive to predictive maintenance. Implemented AI predictive models and IoT sensors on critical lines, analyzing vibration and temperature data to anticipate failures before they occurred.

Reduced equipment downtime by 29%, significantly improving reliability. Optimized maintenance spend by 17% by eliminating unnecessary repairs and secured the strategic roadmap for full Industry 4.0 automation.