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What do we do

Everything your AI product needs to earn trust.

From the first conversational turn to the deepest enterprise workflow, we, as an AI design agency, design every layer of your AI product experience.

  • LLM Conversational Interface Design

    Chat architecture, stream-responsive design, multi-turn context visualization, source citation components, conversation memory indicators, tone calibration controls, and model-switching UX. We design the full conversational layer, not just the chat window.

  • AI Agent Interface Design

    When AI evolves from conversation to action, the interface must make every step clear. We design agent dashboards, progress flows, action-confirmation patterns, and failure-recovery UX for your complex and multi-step agents.

  • MCP-Connected Workflow Design

    When AI connects to your enterprise systems via MCP, users need to see exactly what was accessed, what changed, and why. We design the permission layer, audit trail UX, and live data connection indicators for your MCP-powered products. This is AI-powered product design at the infrastructure level.

  • Multi-Model Platform Design

    Enterprise AI platforms that route tasks across Claude, GPT-4o, and Gemini need interfaces that make model selection meaningful, not puzzling. We design unified dashboards for multi-LLM architectures, featuring real-time capability comparisons, model-switching controls, and per-model response quality indicators.

  • RAG & Knowledge Interface Design

    Retrieval-Augmented Generation gives AI access to your proprietary knowledge, but users need to see where answers come from. We design source citation UI, document preview drawers, knowledge base browsing UX, and confidence grading components that make RAG-powered answers trustworthy, not mysterious

  • AI Onboarding & Trust Design

    The first time a user encounters AI in your product determines whether they explore or disengage. Our human-centered AI design approach covers AI onboarding flows, capability introduction sequences, permission UX, and progressive trust-building patterns that turn first encounters into lasting adoption.

MCP Interface Design

When AI touches your live systems, Design is not optional.

Model Context Protocol (MCP) gives AI agents the keys to your enterprise—from Salesforce to Slack. It’s an extraordinary capability and a profound AI UX design responsibility.

Lollypop has designed the user-facing layer for MCP-powered enterprise products that make AI agents trustworthy and under human command.

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Connection Visibility Panels

Users see exactly which systems the AI has access to, with real-time connection health and last-accessed timestamps. No invisible access.

Live Tool-Call Feedback

When the agent calls an MCP tool, the action streams to the interface in real time with clear, plain-language descriptions.

Permission Scoping Interface

Users grant or revoke access: per system, per scope, and per agent. Clear permission controls with audit trail — not hidden OAuth flows buried in settings.

Human Override & Undo Flows

When AI takes any action on behalf of users, it is fully reversible with undo flows, confirmation gates, and human escalation paths.

How We Work

Research-led. Collaboration-driven. Shipped to production.

Our AI product design process is built on a single conviction: You cannot design a great AI interface without understanding the underlying logic. We don’t just design AI; we create a human experience around it.

Discover

AI Behaviour Mapping

Before wireframes, we map the AI system's actual behavior, what models are being used, what tools the agent calls, what data MCP provides it access to, where it can fail, and what the user's mental model of the AI needs to be.

Define

User Trust Research

We run user research specifically for AI trust: how users form expectations, where they over-rely, where they under-trust, and what triggers abandonment after an error. This research provides confidence signals, transparency components, and control mechanisms in our AI UX design services.

Design

Component System & Interaction Design

We design purpose-built AI component systems for every product, designed for AI's unique interaction patterns, not repurposed from conventional UI libraries. This is the core of our AI-powered product design practice.

Validate

Usability Testing with Live AI

We test with real AI behavior and not static mockups. Our usability sessions use live LLM integration to see how users really react to actual AI responses, delays, mistakes, and actions.

Deliver

Production-Ready Handover

We bring complete design specifications, annotated components, interaction flows, responsive breakpoints, and developer handover sessions with AI-specific documentation that most design systems don't address.

Organisations that we’ve partnered with

Are the ones who are
building with AI

We’ve worked with brands that trusted us to craft human-centered, AI solutions for the future. Our portable AI design system adapts to each industry context while maintaining consistent design quality.

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One stop solution for seamless
AI-driven asset management

"They crafted a responsive, effortless platform." — Hear the full story from the founder of
Asato.ai, Anush Mohandass.

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FAQ

When in doubt, always ask

AI UX design delivers value across a variety of industries including healthcare AI platforms, financial technology tools, enterprise automation systems, retail AI solutions, logistics dashboards, and educational platforms powered by AI. With the rise of generative AI and machine learning interfaces, intuitive design is essential to build trust, usability, and engagement for both technical and non-technical users.

To begin your journey with us, simply reach out with your idea or AI product vision. We’ll initiate a discovery workshop to identify key user pain points, platform goals, and opportunities for AI UX optimization. From concept to execution, our team supports your AI UX/UI transformation with research-led, user-centric strategies tailored for scalable AI applications.

Our process revolves around thorough research, creating user personas, and designing intuitive interfaces that make AI processes transparent and easy to navigate. We ensure all designs are empathy-driven and focused on enhancing productivity and usability.

We create intuitive, empathy-driven designs tailored to generative AI’s unique requirements. Our designs simplify complex AI workflows while enabling users to fine-tune their experiences with ease.

Yes, we handle everything from research and prototyping to design and final implementation. We build scalable, pixel-perfect digital applications and integrate them with your existing systems.

We focus on crafting seamless, human-centered designs that are transparent, accessible, and personalized. Our designs don’t just look great—they solve real user problems and enhance the overall experience.

We’ve partnered with companies like PeakXV, Tattwa and Asato.ai, helping them create innovative, AI-driven solutions. Check out our case studies and testimonials for a deeper look at our work.

For generative AI, we design intuitive, customizable interfaces with prompt control and output visualization for personalized, human-AI interaction.
For predictive AI, we focus on explainable UX, using data visualization and confidence indicators to build trust and clarity.
Both approaches follow human-centered AI design principles to ensure usability and transparency.

Got an idea?

We'll tell you how design makes the difference.

Let’s craft brilliance together!
Get in touch
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