An agentic website is built so AI agents can draft, structure, and update it, with a person approving everything before it goes live. Brief a page in the morning, publish it that afternoon. Every page is structured so AI engines can cite you. Building one is a single engagement, and it ends with your team owning the admin. Four signs you need one:
How it compares to the site you run now:
What is inside the agentic website build
Components built right the first time, so shipping fast never means shipping off-brand, and every new page costs less to make than the one before it.
Publishing without developers, with roles, approvals and brand rules built into the content system. Guardrails are part of the product.
Schema, structured data, and llms.txt on every page from day one, so AI engines can crawl, parse, and cite what you publish.
Analytics, testing, and the visibility dashboard wired in before the first page ships, so you can track progress from the very start.
Our portfolio encompasses a wide range of digital designs essential for the growth of modern businesses.
Lazarev.agency is more than about making profits for us and our clients. We're committed to saving lives in Ukraine, taking on pro bono projects, championing diversity, equity, and inclusion.
in funding secured for our clients
awards backing our excellence
founded, 10+ years of experience
AI product design agency
from user research to production-ready design systems
Among our clients:
We’re a UX/UI web design agency with 120+ awards that helps AI‑native and AI‑ambitious B2B teams translate complex products into clear, conversion‑ready websites.
Webby Awards x10
Red Dot Design Award x6
Awwwards x16
FWA x5
We exist for B2B teams under pressure to turn an AI roadmap into visible product usage, expansion, and a safer story in front of the C‑suite and investors. If design isn’t moving revenue, adoption, or retention, it’s decoration. We design to avoid that. Since 2015, we’ve shipped 600+ products and earned 120+ awards for work on complex, data-heavy tools: fintech platforms, AI copilots, decision engines, and vertical SaaS. Our work has helped clients turn “we have AI features” into “our customers actually use and pay for them.”
We started designing AI products in 2017, long before “AI-native” became a buzzword. With 30+ AI products shipped, we focus on the hard part most teams struggle with: making complex intelligence feel simple, trustworthy, and obviously valuable in a demo, a POC, or a QBR. We’re a 40+ person team of UX strategists, product designers, and analysts who treat design as a business function.
What sets us apart from a typical agency or a single in-house hire is pattern recognition at scale. We’ve seen what works – and what quietly kills adoption – across hundreds of AI and data-heavy products. That lets us spot failure modes early, bring proven interaction patterns to your team, and reduce the risk that your next AI release is another unused toggle in a settings menu.
We start with research not because it’s “best practice,” but because designing without understanding your users, your market, and your revenue model is just guessing with nicer pixels. From there, we collaborate with your product, AI, and design leaders to define where AI should show up, how it should behave, and how to make it obvious, safe, and monetizable.
If you’re a Head of AI, Product, or an AI-native founder who needs AI capabilities to be seen, understood, and used now, not someday, we’re built to be that partner.
At this stage, clients engage us for 4–6+ month AI & data product UX redesign programs, treating us as their primary product design partner for the core platform.
of experience in UI/UX design
Trusted by over 1,000 companies of all sizes
international industry awards
projects successfully completed
We map how your buyers make decisions, in their language, with stages that fit your market specifically.
Keywords with real volume, business terms with none, long-tail questions, and the prompts buyers ask AI assistants, grouped by intent and agreed with you before anything else starts.
The page map grows out of the approved clusters, so every page exists to win a specific question.
The true stories of your product, proof and point of view, placed where the journey needs them.
Pages assemble from the design system while the admin and guardrails are built alongside, so handover is real. Migration with redirects and rankings held with your team at the steering wheel.
How we work, scale, and deliver measurable outcomes.
No. People design the site and people approve everything that ships. Agentic describes who does the production work: agents draft, structure, publish and keep optimizing, at a pace humans cannot hold on their own. The taste is human, and the stories are true because a person signed them off.
The opposite. Today the site is controlled by whoever holds the ticket queue. On an agentic website your marketers publish inside guardrails: roles, approvals and brand rules that catch a wrong page before it goes live. At handover your team owns the admin, the design system, and the documentation.
Holding them is an acceptance criterion. Agents take apart whatever you run now, map every URL that earns traffic, and move it with redirects and parity checks. If your current platform is a legacy CMS, that same process is our legacy migration service. Rankings held is how we define done.
A storytelling website is about what the site says: the right stories, the right information architecture, the right design and development, so it wins traffic and people's trust. An agentic website is about how the site runs: who publishes, how fast, and whether AI engines can read it. We build them as one thing, and the storytelling work has its own page if the stories are the part you are missing.
Let's talk about your AI adoption challenge
