10+ years
of experience
in UI/UX design
in UI/UX design
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Product redesign
Become a client
Our product redesign services take your platform end-to-end and rework it so workflows make sense, the design system scales, and the redesign lands in production without hurting the KPIs you already report to the C-suite. A dedicated UX overhaul for complex B2B platforms — a hybrid of product strategy, UX, and design, with AI-aware patterns layered in where they create real value.
- Re-architected IA your users move through cleanly
A product redesign should make workflows demo-ready inside one screen. Re-architected IA with clear entry points and decision support for every role replaces the menu-deep dashboards customers get lost in. - Higher AI adoption inside the workflows your C-suite cares about
A product redesign earns confidence when adoption signals show up in the next reporting cycle. Unified interaction patterns and guardrails surface where users need them, so the features your team invested in stop sitting two clicks deep and start showing up in usage reports. - A scalable design system mapped to your data layer
Your team keeps direction; we extend the system. Tokens, components, variants, and patterns for uncertainty, overrides, and explainability. Think of enterprise-grade documentation your engineering and product team can work from.
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$500M+
in funding secured
for our clients
for our clients
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120+
awards backing
our excellence
our excellence
/ 03
2015
founded, 10+ years
of experience
of experience
/ 04
San Francisco, CA
AI product design agency
/ 05
full-cycle product design
from user research to production-ready design systems
Lazarev.agency designs the best UI for AI products. Officially.
2026 Webby Winner, AI — Visual Design. Three years of Webby recognition for AI product design.
Among our clients:
Awards
& Recognition
& Recognition
Our team’s work was honored with most of the world-known trophies
120+
Awards won all time
CSS Design
Website of the year
Awwwards
Agency of the year nominee
The Webby Awards
The FWA
Awwwards
Red Dot Awards
Behance
the drum awards
Why most product redesigns make the product worse
The same failure mode keeps founders and product owners up at night. A redesign agency ignores the workflows already converting and ships finished-looking mockups, achieving nothing short of wasted resources. The new version looks decent, but it performs worse than the old one. Adoption plateaus, the redesign budget gets second-guessed, and the team rebuilds the rebuild.
Redesigns starting from a blank canvas
A vendor opens Figma to a blank file and proposes “rethinking everything from first principles.” Six months later, the team has a sleek prototype with none of the workflows your existing customers depend on. The current product was built on real usage data. The new one was built on an art director’s instinct.
Finished-looking mockups failing at inference time
Mockups assume perfect model output. Yet latency, hallucinations, partial responses, and tool failures show up in the first week of production. The new flows don’t have the right surfaces for the unavoidable states, so the experience breaks where the old product had a workaround. And your power users are the first to notice. The next thing you know, they are gone.
Design systems vendors invent and leave
A redesign ends, and the internal team inherits a system with naming conventions and patterns nobody on the team wrote. Every new feature requires deciphering what the vendor meant. The design lead absorbs the debt while the rest of the team builds around the system.
KPIs sliding during the rollout
Activation, retention, and revenue dip during the redesign because the rollout plan moved features faster than users could adapt. Heads of Product end up explaining a quarter of soft numbers to the C-suite while the redesign team is already onto the next project, claiming the design as a win.
How the redesign engagement is structured
A redesign is not a rebuild. The first two weeks separate what is working in the current product from what is losing users, and your design lead confirms the scope before any new design work begins. The rest of the engagement runs as a sequenced replacement plan to protect activation, retention, and revenue throughout.
Map what protects current revenue before redesigning anything
Activation, retention, and revenue paths get inventoried first. Surfaces customers depend on stay live through the engagement. The redesign budget moves to the workflows where adoption is bleeding.
Your design lead owns direction, we own the volume
For a redesign to land internally, your design lead has to feel like they shaped it. We bring options and documented tradeoffs to every structural decision; they pick. The depth of work, like AI workflows, data-dense states, and edge cases, gets handled without consuming their roadmap.
Prototype the highest-risk flows first
High-risk flows go into clickable prototypes wired to data in the first month of the engagement. Synthetic user simulations reveal where confusion lands before engineering builds. The most uncertain parts of the redesign get pressure-tested while the cost of changing them is still low.
Rollout sequenced around your reporting cycle
New surfaces ship in waves designed around your QBR cadence and investor reporting calendar. Your C-suite gets confident numbers throughout the rollout. The redesign becomes a story you can tell quarter by quarter.
Case studies
Redesigns built to protect revenue and move adoption
Each case study below began inside a live B2B product with growing UX complexity, fragmented workflows, or outdated interfaces. The redesigns simplified decision-making, clarified navigation, and turned overloaded enterprise tools into systems teams could operate with confidence at scale.
What the redesign engagement delivers
Why teams pick us for a full redesign
Teams come to us when the existing UX is creaking under new AI features and when an internal design team needs senior AI UX support without losing control of the system. Our business clients describe the same outcome at the end of an engagement: the redesign ships, and the internal team carries it forward after we step out of the room.
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"We saw an increase in engagement metrics, in users and in resume submissions."
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"Lazarev is top-notch in what they do and they charge accordingly."
Industries we redesign products inside
We work with complex industries where dense data, regulatory pressure, and trust dynamics make redesign decisions consequential.
Who we are and why teams like yours work with us
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. Every engagement is anchored to the metrics you care about: AI feature adoption, activation and retention in key accounts, time-to-decision in core workflows, and upgrade/expansion tied to AI-powered plans.
120+
international
industry awards
industry awards
/ 02
600+
projects
successfully completed
successfully completed
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We operate on a simple principle: if you're not measuring design against business outcomes, you're wasting money.
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.
How our product redesign works
A 4–8 month engagement runs in five phases. The team running phase one is the team running phase five. Your design lead, internal Product, AI, and Engineering leads stay close to the work through weekly or bi-weekly sessions, with async coordination in Slack between them.
Anyone can add AI. We rebuild the product around it.
01
Intake and UX audit
Stakeholder sessions across Product, AI, Design, Engineering, and GTM. We dig through events, funnels, AI usage, roles, and edge cases together. The audit defines what we redesign and what we leave alone. Your design lead signs off on the scope before new design work begins.
02
AI UX strategy tied to product vision and workflows
We define where AI adds real value inside workflows, when automation, recommendations, or copilots guide decisions, and how conversational AI fits the product journey. The strategy shapes how people will work with AI inside the product.
03
Prototyping and AI conversational design
High-risk flows get clickable prototypes with realistic or synthetic data, synthetic user simulations to observe how people interact with AI flows, and AI conversational design for chatbots and copilots. Risk on the most uncertain parts of the product drops before engineering builds.
04
Scalable UI and design system
Production-ready UI with tokens, components, variants, and patterns for uncertainty, overrides, and explainability. Enterprise-grade documentation for engineering and product to work with. Components map to the data layer so engineering ships instrumentation alongside the surface.
05
Rollout, enterprise UX, and iteration
Implementation guidance, UX QA on staging, change management for internal users, and iteration tied to adoption, activation, and expansion. The team carries confident usage data into the next QBR.
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FAQ
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Will the redesign hurt our existing KPIs during rollout?
No, because we design the rollout sequence around activation, retention, and revenue. New surfaces ship with usage data attached; old flows stay live where users still depend on them. Heads of Product carry clean numbers into the next QBR instead of explaining a redesign-induced dip during the change window.
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How do you work alongside our internal design team?
We work under your design lead’s direction, inside your file structure, with your token and naming conventions. The lead stays in the driver’s seat on UX language and IA; we handle the volume — complex AI workflows, data-dense states, edge cases. Design leads keep ownership of the system after the engagement ends.
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How fast can we see results inside a redesign?
For an early-stage founder shipping a near-term round, 3–4 months gets a working demo investors evaluate. Inside a full 4–8 month redesign, the first new surfaces typically reach production around month 3 with adoption instrumentation attached. Heads of AI under quarterly pressure see signals inside the first quarter instead of month 8.
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Can you redesign without rebuilding the engineering stack?
Yes. The audit phase explicitly maps what stays and what changes. Engineering investments already in production stay in production unless the data argues for replacement. Many redesigns ship without a stack rewrite because the workflow and UX changes are where the adoption lift lives.
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