TuringDesk audits IT operations, resolves bottlenecks that slow down delivery or increase risk, and builds the operating model, security controls and AI workflows to keep it predictable and governed.
Eliminate the layers between leadership and execution. Every engagement is led by one of the two founders, bringing 30 and 25 years of experience across IT, security, Data & Analytics, and engineering leadership at fintech, insurtech, telecom, crypto and cloud companies.
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Full cycle, one team
Audit, implementation, and maintenance are handled by the same team from start to finish. Removing third-party handovers reduces coordination overhead and accelerates execution.
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Fast, without bureaucracy
As a boutique consultancy, TuringDesk operates without approval chains or corporate committees. Strategic decisions are made on the spot..
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Absolute vendor independence
TuringDesk remains entirely technology-agnostic. Solutions are selected exclusively based on client needs, with a strong focus on European infrastructure and EU-hosted data compliance.
What we do
When IT becomes too complex and something becomes unpredictable.
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We diagnose the problem
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Our senior founders advise and design the solution
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We implement it
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And, when needed, we operate it
The outcome: clearer governance, hardened security, more predictable delivery, and controlled adoption of AI.
Former CTO, VP Engineering and CSO, with 30+ years leading technology organisations, building secure and highly available systems, and transforming engineering operations at scale. Experience spans regulated financial platforms, cloud infrastructure, security, and AI-driven transformation across multi-country organisations.
Consulting Director · Former Director of IT Infrastructure · IT Operations Manager
insurtech - fintech · mobility · military and high-security environments
IT infrastructure · IT operations · security · operational governance · cloud & platforms · reliability · AI operations · complex systems operation
25+ years building information systems and platforms serving millions of users. Focused on applying AI across the full stack — from the systems themselves (in-house LLMs, training, inference) to agents and the business processes that put them to work.