I help founders, investors, boards, and portfolio companies assess technology assets and AI economics, quantify build and run costs, expose the conditions and risks that matter, and leave with an executable plan for the next decision.
For founders · investors · boards · portfolio companies
20+ years across systems engineering, cloud, DevOps/SRE, enterprise architecture, AI/data platforms, and technology leadership.
What should we build, buy, or validate first—and what team, architecture, time, and budget will it require?
Can AI automate this workflow safely and economically—and where should human control remain?
Does the technology asset support the business or investment thesis—and what will the next maturity step cost?
Use these services when a persuasive idea, prototype, or plan still lacks an evidence-based path to a reliable outcome.
Specialist modules: AI & Platform Productization · Transaction & Fundraising Technology Readiness
Could AI agents perform this workflow reliably, safely and economically, or would conventional automation work better?
I analyse the workflow, data, decisions, integrations and failure costs to determine:
Everything an executive team needs to decide whether, where and how to deploy agents, and what must be proven before scaling.
Depending on scope, the engagement produces the artefacts an executive team can act on—grounded in cost, ownership, and execution rather than detached from them.
The output is a decision package that executives can act on—not a recommendation deck detached from cost, ownership, and execution.
Define the business outcome, materiality, deadline, stakeholders, known constraints, and evidence available.
Review systems, architecture, costs, workflows, plans, delivery evidence, and accountable owners.
Model alternatives, dependencies, economics, risks, confidence ranges, and the consequences of doing nothing.
Document the selected option, decision owner, assumptions, gates, and executable next-step plan.
Implementation or interim leadership can follow under a separate scope. An assessment creates no hidden obligation to retain me for delivery.
I have worked from systems engineering and cloud architecture through Technology Services leadership and CTO-level responsibility. My work connects technology choices to operating cost, delivery capacity, product validation, organizational capability, and the evidence executives and investors need to commit capital.
Built and led a Cloud & DevOps practice of 30+ engineers, developing delivery capability, technical standards, reference architectures, and advisory expertise.
Designed a reusable platform foundation combining a Knowledge Graph, universal modular frontend (UMFE), workflow DSL and orchestration, Bronze/Silver/Gold data layers, and governed AI assistance for rapid product and workflow experimentation.
Connected business requirements, product capabilities, architecture, delivery capacity, quality, dependencies, cost, risk, ownership, and decision rights in a single operating view.
No. I can provide an independent assessment, support a defined decision, or temporarily own an agreed mandate. The goal is clarity and controlled capability transfer, not permanent dependency.
No credible assessment can do that before the scope, dependencies, baseline, and evidence are known. I provide ranges, assumptions, confidence levels, sensitivities, and decision gates so uncertainty can be managed rather than hidden.
Yes, when the mandate, decision rights, capacity, success measures, and commercial terms are explicit. Implementation is contracted separately.
CTO Field Notes
Early technical decisions shape the options a business will have later. I look at the cost of building a solution, operating it, and changing direction when the evidence changes. These notes explore the decisions that connect technology, customers and capital.
An early shortcut can become a commitment across your architecture, customer promises and team. How do you keep the next decision affordable?
Share the business outcome, current state, deadline, and the size of the decision you do not want to make on assumptions alone. I will propose a focused scope—or tell you plainly if another specialist is a better fit.
Independent technology assessment · AI automation economics · Technical due diligence support · Interim/Fractional CTO
Email: stanislav.tretyakov.p@gmail.comTelegram: +381 62 941 1915WhatsApp: +381 62 941 1915LinkedIn: stanislav-t
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