The Expert
László Nagy
AI strategy, engineering and technology transformation
My background brings together more than 20 years in business and technology, AI product leadership at Senior Vice President level and deep, hands-on engineering expertise. Across enterprise and business leadership roles, my work has spanned technology strategy, product direction, software architecture, AI systems development and operational transformation.
Connecting business priorities with technical reality has been central throughout: identifying where technology can create value, shaping products and systems around that opportunity, and carrying decisions through development into operational use. This perspective combines commercial judgment, product thinking and practical experience of building and running complex systems.
My leadership experience spans international, cross-functional initiatives involving business, product, engineering, security and operations. Setting direction and taking responsibility for delivery sit alongside direct technical involvement, with the depth to evaluate solutions, challenge assumptions and work through difficult architectural and implementation problems.
ENTERPRISE AI TRANSFORMATION
Strategy, product direction and organisational adoption
My enterprise AI experience combines product leadership, technology strategy and responsibility for implementation. It includes shaping AI-native product lines, identifying and prioritising opportunities with senior leadership, and guiding initiatives through architecture, development and adoption.
Across these responsibilities, the work has connected investment and product decisions with technical feasibility, organisational readiness and governance. It has involved setting priorities, aligning international teams and establishing the ownership, approval boundaries and operational controls needed to put AI into use.
Direct engineering experience has been central to that leadership: assessing what proposed solutions can actually deliver, recognising architectural and implementation risks, and resolving technical obstacles alongside the teams responsible for delivery.
AI ENGINEERING AND DELIVERY
Technical depth, from architecture to production
Hands-on engineering has remained a substantial part of my work alongside product and technology leadership. My experience includes designing and building AI-native products, enterprise software and integrations, with responsibility extending through architecture, implementation and production delivery. The technical scope spans applications, APIs, data flows and infrastructure across AWS, Microsoft Azure, Google Cloud Platform and on-premise environments.
Changing how software gets delivered
Across several enterprises, I have designed, built and adapted AI engineering frameworks around different products, teams and organisational requirements. This work has changed how delivery speed, quality and security operate together: AI-assisted implementation is supported by shared context, automated testing and enforced quality controls, with permissions, approval gates and human accountability embedded in the workflow.
Engineering for operational continuity
Enterprise responsibilities have also included production-critical infrastructure supporting international manufacturing, where availability and security directly affect continued operations. That experience brings a practical understanding of resilience, access controls and recovery into architecture and delivery decisions, alongside the ability to investigate implementation problems and resolve them directly.
BUSINESS AND OPERATIONAL TRANSFORMATION
Reshaping how businesses operate and deliver
My transformation experience includes restructuring labour-intensive operations into leaner, more automated businesses, changing how work was planned, resourced and delivered. Changes to processes, technology and partner arrangements improved profitability and created capacity for growth. This work involved direct responsibility for the commercial and operational decisions behind those results.
Improving execution across international operations
In enterprise environments, my work has included redesigning planning and coordination across international teams, automating manual work and improving how information supports operational decisions. These changes brought together process redesign, software and automation, with attention to the people responsible for using and maintaining the resulting systems.
Two decades of project and customer responsibility
Project management and direct customer responsibility have been consistent throughout my career, across work ranging from small assignments to multimillion-euro programmes. This experience includes shaping requirements with customers, managing scope, budgets and delivery commitments, and coordinating internal teams, suppliers and partners.
My responsibility has extended from commercial decisions and resource allocation through to delivery and operational performance. Working across that full span has shaped how I approach transformation: understanding the business consequences of technical choices and remaining accountable for what changes in practice.
AI CONTROL IN PRACTICE
How I design and operate AI without losing control.
My approach combines AI autonomy with enforceable controls across teams, systems and business processes.
Defined boundaries
Objectives, acceptance criteria and decision authority are established before work begins. Actions with material consequences require explicit human approval.
Controlled access
Permissions govern which data, applications and tools AI can use, and what it can change. Access respects organisational and security boundaries.
Quality and security gates
Automated testing, validation and security checks verify AI outputs before release or use. Failed checks block progress or trigger review.
Traceable execution
Actions, approvals and system changes leave an auditable record, making it possible to investigate failures and establish responsibility.
Measured performance
Quality, reliability, cost and outcomes are monitored together. Evidence guides improvements, intervention and decisions about scaling.
Shared organisational context
AI systems and agent teams work from maintained knowledge and shared context, with controlled access and mechanisms to correct outdated information.
Useful autonomy remains governed, measurable and traceable. People retain the authority to intervene and stop execution.
HOW I THINK ABOUT AI
Five rules I lead by.
- Start with the business problem. Define the outcome before choosing the technology. AI earns its place through the value it creates.
- Improve the process before automating it. Remove unnecessary work and resolve unclear responsibilities before making the existing process run faster.
- Choose the right solution, including when it isn’t AI. Building, buying and integrating are business decisions shaped by capability, cost, risk and maintainability.
- Prove value before expanding commitment. Test the assumptions that matter, measure results in practice and scale when the evidence supports it.
- Count adoption as part of delivery. A working system only creates lasting value when people can use it effectively and the organisation can sustain it.
Books
AI – Az új versenyelőny
Written by a business leader for leaders.
A leader’s handbook from strategy to operations, in three volumes.
Volume I
Volume II
Volume III
Published on Amazon
The Competition-Killer Blueprint
The Ultimate Business Blueprint Guide
For executive search and leadership conversations
Let’s talk about what AI should do for your business.
If you are appointing a leader to make AI pay off, I am glad to talk in confidence.
Open to full-time executive appointments, as well as selected contract or fractional mandates.
SELECTED PRODUCTS
From concept to working software.
Both products bring together my work in product definition, software architecture, development and delivery.
AI-enabled content and business operations
Moderanto connects content and document creation, organisation, marketing and publishing automation with integrated AI support.
Its business module supports service-based businesses from enquiries and quotations through project planning, scheduling, billing and invoicing, bringing connected workflows into one operational platform.
Rental management for landlords and tenants
RentIQ connects property and tenancy records, rental finances, meter readings and everyday administration in a shared web and mobile platform.
It brings landlord and tenant coordination into the same system, making information and ongoing rental responsibilities easier to manage for both parties.