Fix the systems slowing your business down.
Fitzroy helps growing organizations modernize backend systems, control cloud costs, and move AI initiatives from experimentation into reliable production.
Focused technical delivery for systems that matter.
Modernize core systems.
Improve reliability, performance, and long-term scalability.
Build cloud platforms that perform.
Reduce waste, strengthen reliability, and support production growth.
Move AI into real workflows.
Operationalize AI with practical tools, automation, and controls.
Find the value hidden inside your cloud spend.
In Fitzroy’s illustrative model, a $500K monthly cloud estate with 25% recoverable inefficiency produces $1.5M in potential annual savings, $1.25M in first-year net value, and a 2-month payback period.
Adjust the spend, recoverable inefficiency, and implementation assumptions in the interactive planner to reflect your infrastructure.
Estimate your potential savings →Before scaling AI, know what production will demand.
Fitzroy’s AI Production Readiness Checklist helps leadership teams evaluate whether the systems, controls, data paths, and operating model are ready to support AI beyond the pilot stage.
Choose the issue closest to your business.
Rising cloud costs without clear visibility
Backend systems slowing product or operations
Legacy integrations creating bottlenecks
AI pilots not reaching production
Engineering teams stretched thin
Leadership needing a clearer technical path
Practical thinking for technical leaders.
Research briefs on AI, cloud infrastructure, finance, automation, and the systems behind modern business.
The Growing Cost of Operational Complexity
The cost of complexity is often hidden in fragmented systems, duplicated work, and slower execution. Why simplification should come before scaling.
Why Enterprise AI Projects Fail Before Deployment
Why Enterprise AI Projects Fail Before Deployment: The Systems, Data, and Workflows Behind AI Success
The Hidden Cost of Slow Execution
The Hidden Cost of Slow Execution: Why Operational Speed Is Becoming the Ultimate Competitive Advantage
Establish the technical path before committing to transformation.
A structured diagnostic engagement for organizations facing backend complexity, rising cloud expenditure, operational bottlenecks, or AI initiatives that require a credible path into production.
You receive executive findings, technical analysis, prioritized recommendations, and an implementation roadmap. Final scope and pricing depend on the systems, environments, stakeholders, and business units involved.
Discuss an enterprise assessment.
Enterprise Systems Assessment engagements start at $20,000. Final pricing is confirmed after Fitzroy reviews the systems, scope, and stakeholders involved.
Berk Delibalta
Founder & Principal
M.S. Computer Science, Boston University
Experience across Deloitte, IBM, Zurich Insurance, and Thales.
Fitzroy is built around direct technical execution, combining enterprise engineering experience with a focused network of cloud, AI, software, and business collaborators.
Founder-led technical partnership for teams building at scale.
Fitzroy is led by Berk Delibalta, a Boston-based technology executive and engineering partner with experience across enterprise software, cloud infrastructure, applied AI, reinforcement learning, model development, and production-grade delivery.
That background shapes Fitzroy’s focus on practical assessment, hands-on execution, and systems built for real business conditions.
Backend systems built for reliability, performance, and scale
Cloud infrastructure experience across AWS, databases, and automation
Applied AI and reinforcement learning research for technical systems
Founder-led execution focused on production-ready delivery
Fitzroy Insights.
Short perspectives on backend systems, cloud infrastructure, AI adoption, and technical execution for leaders building modern companies.
Start with a focused conversation.
Schedule a 30-minute call, or submit the form for project, partnership, or enterprise assessment inquiries.
