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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.

Business leaders discussing technology priorities
Cloud economics

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.

$1.5M
Potential annual savings
$1.25M
First-year net value
2.0 mo
Modeled payback period

Adjust the spend, recoverable inefficiency, and implementation assumptions in the interactive planner to reflect your infrastructure.

Estimate your potential savings
Executive AI readiness

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.

Infrastructure and deployment readiness
Data, workflow, and integration dependencies
Governance, controls, and operating ownership
A clearer path from pilot to production
Leadership team evaluating AI production readiness
Enterprise Systems Assessment

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.

Backend architecture, reliability, scalability, and technical debt
Cloud economics, infrastructure efficiency, and deployment risk
Workflow and operating-model bottlenecks across critical operations
AI production readiness, integration dependencies, and governance requirements

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.

Enterprise qualification

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.

Founder-led execution

Berk Delibalta

Founder & Principal

M.S. Computer Science, Boston University

Experience across Deloitte, IBM, Zurich Insurance, and Thales.

Built for practical delivery

Fitzroy is built around direct technical execution, combining enterprise engineering experience with a focused network of cloud, AI, software, and business collaborators.

Enterprise engineering background

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

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Fitzroy Insights.

Short perspectives on backend systems, cloud infrastructure, AI adoption, and technical execution for leaders building modern companies.

Executive Briefing
Contact

Start with a focused conversation.

For project, partnership, or enterprise assessment inquiries, submit the form and Fitzroy will follow up directly.

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