# Tim Yevgrashyn > AI-enabled software delivery · Engineering operating models that scale > Generated by All in One SEO v5.0.4, this is an llms.txt file, used by LLMs to index the site. ## Sitemaps - [XML Sitemap](https://yevgrashyn.com/sitemap.xml): Contains all public & indexable URLs for this website. ## Pages - [AI SDLC & Engineering Operating Model Advisor](https://yevgrashyn.com/): Independent advisor helping CTOs turn AI coding adoption into reliable software delivery through an AI-enabled SDLC, clear controls, and measurable pilots. - [Impressum](https://yevgrashyn.com/impressum/): Inhaltlich verantwortlich:Timofiiy Ievgrashyn Berlin, Germany Finanzamt Berlin Prenzlauer Berg Haftungsausschluss: Alle Informationen auf dieser Website sind von Timofiiy Ievgrashyn erstellt. Für die Richtigkeit und Vollständigkeit der Daten sowie die technische Funktion wird keine Gewähr übernommen. Inhalte können ohne vorherige Ankündigung geändert oder gelöscht werden. Haftungshinweis: Trotz sorgfältiger inhaltlicher Kontrolle wird keine Haftung für die Inhalte externer - [AI SDLC Readiness Self-Check](https://yevgrashyn.com/scorecard/): Map your AI engineering working mode, capability profile, likely constraint, and next useful transition without a generic maturity score. - [AI SDLC and Engineering Workshops](https://yevgrashyn.com/workshops/): Practical AI SDLC workshops for leadership alignment, governed pilots, engineering enablement, and safer AI-assisted software delivery. - [AI SDLC Advisory for Engineering Leaders](https://yevgrashyn.com/ai-sdlc/): Move from scattered AI coding use to a governed, measurable AI-enabled SDLC through readiness assessment, workshops, diagnostics, and pilots. - [AI SDLC Workshop: From Assisted Coding to Governed Delivery](https://yevgrashyn.com/workshops/ai-sdlc/): A half-day AI SDLC workshop to map current working modes, identify the next delivery constraint, and design one governed engineering pilot. - [AI SDLC and Engineering Operating Model Advisory](https://yevgrashyn.com/advisory/): Independent advisory for AI-enabled software delivery, engineering operating models, targeted transformation, and selected scale-up or board-level work. - [Engineering Operating Model Advisory](https://yevgrashyn.com/advisory/engineering-operating-model/): Diagnose and redesign how strategy, ownership, architecture, decisions, and delivery work across a scaling product and engineering organisation. - [Writing on AI SDLC and Engineering Operating Models](https://yevgrashyn.com/writing/): Field notes for CTOs and engineering leaders on AI-enabled delivery, operating models, architecture judgement, verification, and scaling. - [About Tim Yevgrashyn](https://yevgrashyn.com/about/): Software engineer since 1996 and former CTO, VP Engineering, architect, CPTO, consultant, trainer, and advisor on AI-enabled software delivery. - [Contact Tim Yevgrashyn](https://yevgrashyn.com/contact/): Discuss an AI SDLC diagnostic, engineering operating-model challenge, AI enablement workshop, targeted advisory, or selected board-level role. - [Product Minded Architect Workshop](https://yevgrashyn.com/workshops/product-minded-architect/): Workshop Product Minded Architect A hands-on workshop for senior engineers, tech leads, staff/principal engineers, and architects who need to move from receiving PRDs to shaping product and architecture decisions. Designed for product and engineering leaders who need better decisions, not more theatre. Translate product intent into technical options, trade-offs, thin slices, risks, and measurable learning.Use - [Slicing the Problem, Growing the Solution](https://yevgrashyn.com/workshops/slicing-the-problem-growing-the-solution/): Workshop Slicing the Problem, Growing the Solution A licensed Alistair Cockburn workshop for turning large, vague, risky problems into smaller slices that can be demonstrated, learned from, and grown safely. Designed for complex product, engineering, and leadership problems. Move from ambition to action without pretending the whole problem is understood upfront.Find slices that create learning,