10+ years
of experience
in UI/UX design
in UI/UX design
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AI conversational design
Become a client
Transform user interactions with AI systems that feel human. Our conversational design expertise turns complex interactions into natural, engaging conversations that drive user retention and business results.
We design conversational interfaces that understand user intent, reduce user frustration, and create consistent user experience across all communication channels. No generic chatbots, just conversation design that works.
- Eliminate User Frustration with Smart Flows
Designing conversational flows that anticipate user needs and handle complex interactions smoothly. We map every conversation path to prevent dead ends. - Build Human-Centric AI Systems
Our human centric approach ensures your AI assistants communicate like trusted advisors, not robotic responses. Users engage naturally without learning technical language. - Maximize User Engagement Through Context
Contextual awareness drives successful interaction. We design AI systems that remember past interactions and adapt to the user's context for meaningful conversations. - Scale Customer Experience with AI Tools
Voice assistants and conversational AI strategy that reduces dependency on human agents while maintaining quality. Your users get instant, accurate responses 24/7. - Optimize Technical Capabilities for Real Use
We bridge the gap between machine learning potential and actual user behavior. Your conversational AI grows smarter with structured data and continuous monitoring.
/ 01
$500M+
in funding secured
for our clients
for our clients
/ 02
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
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
How Poor Conversational Design Fails User Adoption
Badly designed AI conversations frustrate users and damage your product's reputation. Most companies rush into conversational AI without understanding conversation design principles.
Users abandon AI systems that don't understand human language patterns, ignore user feedback, or respond with confusing technical jargon. Poor conversation flow design creates more problems than it solves.
Users Can't Complete Basic Tasks
Conversational interfaces that don't map user intent properly leave customers stuck. They repeat requests multiple times or give up entirely, hurting your conversion rates.
AI Responses Feel Robotic and Unhelpful
Generic responses without clear system persona make users feel like they're talking to a broken machine. This destroys trust in your brand.
No Learning from User Interactions
Systems that don't gather feedback or improve from user inputs waste every conversation. Your AI stays dumb while competitors get smarter.
Complex Features Remain Unused
Users avoid advanced features because the conversation design doesn't guide them properly. Your investment in sophisticated AI capabilities generates zero ROI.
Our Conversational Design Approach
We build AI conversations that feel natural from the first interaction. Lazarev.agency’s structured approach combines user research with technical expertise to create conversational experiences that users actually want to use.
Map Real User Intent
Our conversational designers start with actual user behavior data and conversation analysis. User research reveals how people naturally express needs, not how engineers think they should.
Design Human-Like Conversation Patterns
Natural language processing works best when conversation flows mirror human interaction patterns.
Build Contextual Memory Systems
Conversational AI that remembers past interactions creates smoother user experiences. We design memory systems that make every conversation feel personal and continuous.
Test and Refine Through User Feedback
Continuous improvement through real user testing. Our design patterns evolve based on actual conversation data, not theoretical models.
Case studies
Proven Results in AI Conversation Design
Our conversational design work has transformed user engagement for startups and enterprises across multiple industries.
What We Deliver in Conversational AI Design
What Our Clients Experience
Our conversational design transforms how users interact with AI systems. Clients see immediate improvements in user engagement and task completion rates.
Working with Lazarev.agency means getting conversation design that actually works in the real world.
/ 01
"Finally, an AI system our users actually want to use instead of avoiding."
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"I've never worked with a vendor operating so well, especially on a creative job."
Industries We Transform with Conversational AI
We specialize in conversational design for industries where communication quality directly impacts business results.
Our experience spans from FinTech platforms requiring precise financial conversations to healthcare systems handling sensitive patient interactions.
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
/ 03
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.
Our Conversational Design Process
From user research to live conversation monitoring, we handle every step of conversational AI development.
Our proven process ensures your AI system launches with conversations that work from day one, not after months of user complaints and fixes.
We design conversations that users choose over human agents.
01
Discover Real Conversation Patterns
We analyze how your users currently communicate and identify their natural language preferences. Real user research, not guesswork.
02
Map User Intent and Context
Every possible user goal gets mapped with appropriate conversation paths. Our team designs for edge cases before they become user problems.
03
Design and Test Conversation Flows
Rapid prototyping of conversational interfaces with real user testing. We refine flows based on actual conversation attempts.
04
Build Technical Implementation
Working with software engineers to ensure conversational design translates into working systems. Conversational designers bridge the gap between design and technical reality.
05
Monitor and Optimize Performance
Continuous improvement through conversation analytics and user feedback. Your AI system gets smarter with every interaction.
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FAQ
/00-1
How do you apply principles of conversation design to create effective communication system users?
We follow proven principles of conversation design rooted in human communication patterns. Our approach ensures communication system users learn natural interaction flows that feel intuitive. We study how successful conversation flow works in real-world scenarios and apply these insights to design interactions that users adopt quickly. Every virtual agent we create follows conversational language patterns that make sense to your specific audience.
/00-2
What makes your conversation forward approach different from traditional AI design?
Our conversation forward methodology prioritizes how users naturally communicate over technical capabilities. Instead of forcing users to adapt to rigid AI responses, we design interactions that flow like human conversations. This approach creates AI agents that feel responsive and intelligent. We focus on conversation flow design that guides users smoothly toward their goals while maintaining natural dialogue patterns.
/00-3
How do you design voice interfaces that compete with systems like Google Assistant?
We design voice interfaces by studying what makes conversation flow successful across different platforms. Our team understands that voice interactions require different conversational language than text-based systems. We create conversation forward experiences that handle interruptions, context switching, and natural speech patterns. Our voice interfaces integrate seamlessly with existing systems while maintaining consistent conversation flow throughout the user journey.
/00-4
What role do software engineers play in your conversational design process?
Software engineers work directly with our conversation designers to ensure technical feasibility without compromising user experience. We bridge the gap between conversational language design and technical implementation. Our collaborative approach means virtual agents actually work as designed, not as simplified versions that disappoint users. Engineers help us understand technical constraints while we ensure the final product maintains natural conversation flow.
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How does continuous monitoring improve communication system users over time?
Continuous monitoring tracks how communication system users learned to interact with your AI system. We analyze conversation patterns to identify where users struggle or succeed. This data drives iterative improvements to conversation flow and helps virtual agents respond more effectively. Our monitoring systems track user satisfaction, task completion rates, and conversation success metrics to guide ongoing optimization of design interactions.
/00-6
Can you integrate conversational AI with web design and existing digital products?
Yes, we specialize in integrating conversational AI with web design and existing digital platforms. Our AI agents work seamlessly within your current user interface without disrupting established user workflows. We ensure conversation forward design enhances rather than replaces existing functionality. Our team handles both the conversational design and technical integration to create cohesive user experiences across all touchpoints.
/00-7
What is voice interface design, and why does it matter?
Voice interface design is about creating seamless, natural ways for users to interact with technology using spoken language. It matters because when done well, the voice feels intuitive, no screens, no clicks, just a simple conversation. Great voice UX means users don’t have to think twice.
/00-8
How is conversational AI product design different from traditional UX design?
Traditional UX is mostly visual, menus, buttons, layouts. Conversational AI product design, on the other hand, is built around dialogue. It anticipates intent, handles context, and responds naturally. You’re not just designing a screen; you’re designing a personality that guides users.
/00-9
What does “multimodal AI designed” mean?
Multimodal AI combines different input types like voice, text, gestures, and visuals into one smart system. When an AI is multimodal-designed, it can understand not just what users say, but what they show, type, or touch. It’s a fuller, more flexible experience.
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