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System Setup AI Agents
Phased Transformation
By mapping and breaking down the current workflow, we create the conditions for a strategic, phased, and cohesive deployment of new AI systems, ushering in a new form of augmented organization.
Document
Create a detailed map of current workflows and organizational processes, capturing how the organization presently understands and operates in the world.
Design
Using this detailed map, identify nodes within the organizational workflows that can be readily augmented with AI solutions. Position humans as orchestrators and coordinators, and design a phased roadmap that incrementally augments each node with intelligent systems.
Implement
Following the roadmap, implement the designed solutions through the careful introduction of intelligent systems. Continuously observe outcomes, adjust approaches, and iterate.
Team
Yasin
Yasin Abbasi Yadkori is a Scientific Leader and AI Architect whose work anchors the design of next-generation, AI-native workflows for complex organizations. A leading contributor to reinforcement learning and sequential decision-making, whose research on linear stochastic bandits underpins modern contextual AI systems, he has spent the past decade translating frontier theory into production systems at DeepMind, VinAI, and Adobe. His leadership in architecting advanced reasoning models provides the scientific foundation for building scalable, adaptive AI workflows that fundamentally transform how organizations learn, decide, and operate.
Oleg
Oleg Moshkovich is an Operator and Product Architect specializing in the design and implementation of AI-driven, transformative workflows for complex organizations. He began in computational design at top design firms later leading Digital Twin integration and VDC initiatives on mega-projects such as the World Trade Center Reconstruction and Grand Central Expansion, bringing system-level clarity to multi-billion-dollar infrastructure programs. Today, he applies that same rigor to building AI-native execution systems that embed autonomous feedback loops, compress execution risk, and enable organizations to continuously evolve their operations.
Mikhail
Mikhail Gervits brings 20 years of corporate design experience, specializing in the implementation of AI-driven, transformative workflows that connect people, processes, and technology. He translates business strategy into intelligent, human-centered systems leading multidisciplinary teams to design and deploy AI-enabled products that enhance operational clarity and accelerate execution. His work ensures that advanced AI capabilities are embedded seamlessly into organizational workflows, driving measurable impact at scale.