Safe, Intuitive & Trustworthy
UX for AI-Enabled Healthcare Software
Whether you’re building a new healthcare application or innovating on an existing product, AI and LLM are bound to play some role.
The question is: what role? How can you harness AI safely—without losing control, risking unpredictable outputs, or disrupting critical workflows?
With 1,500+ successful healthcare UX design projects to our name – with many increasingly utilizing AI and LLM – we focus on finding the right solution to achieve your vision, on time and on budget.
There Are Three Ways Koru Helps
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Prototype A New
AI-Powered App
Bring your AI-driven healthcare ideas to life with a working prototype
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Level Up AI POCs
For Wider Adoption
Fine-tune AI experiences for your next stage of growth
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Integrating AI Into
Existing Products
Thoughtfully incorporate AI into workflows users already trust and understand.
Prototype a new AI-Powered Product
You want to bring your early-stage concept to life and make a lasting first impression with investors, industry professionals, and early adopters.
You need to balance bleeding-edge AI with intuitive usability, transparency and control, so users feel confident using your product.
Our process guides you through rapid prototyping, user-centered design, and regulatory considerations to craft a compelling user experience typically reserved for more mature apps.
The goal? Demonstrate viability and build trust from day one.
Simplify Your Path To Product-Market Fit
Before Koru
“I’m overwhelmed! AI/LLM is evolving so rapidly that I’m not sure the best way to incorporate it into my product design.”
“I’m not sure if users will trust our AI-powered outputs. The safety and regulatory risks are huge.”
“I’m worried our AI use case is too innovative, novel or unfamiliar – will users even know how to use it?”
“It’s hard starting from scratch – we have no data sets or users to train our AI workflows.”
With Koru
“I have a clear, user-centric roadmap for prototyping AI/LLM features, with a focused path to market, and a design strategy grounded in user research and scalability.”
“Users trust our AI outputs and feel confident using them in healthcare settings thanks to the guardrails we’ve implemented, providing complete transparency and control.”
“Users intuitively navigate our product. Users don’t see “AI”, they just see a solution they want to keep using because it makes their life easier."
“We’ve been able to test, build and validate our prototype. It performs as expected and we’re confident the design will scale.”
AI-Powered Medical Assessments For Patient Visits And Self-Assessments
Our client, a healthtech founder, recognized a need to transform the traditionally rigid and impersonal medical assessment process. Instead of inhumane Q&A web forms, patients now engage in natural conversations with an AI agent that records responses as structured data, enabling more insightful and personalized care.
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Level Up AI POCs For Wider Adoption
Your AI MVP has broken new ground, but in healthcare and medicine, novelty alone won’t get you to the next phase.
Early adopters might be intrigued by what you’ve built—but without full trust, seamless usability and clear alignment with patient workflows, "good enough” is not good enough.
Perhaps there is a lack of transparency. Maybe scalability and complex integrations are not fully baked in. Either way, without refining these elements, your AI innovations risks stalling— putting investor interest, future funding, and major client traction on the line.
We take your MVP from early-stage app to polished product, helping you to deliver the type of intuitive user experience users expect from mature healthtechs.
Overcome AI Barriers To Wider Adoption & Growth
Before Koru
"We’re not progressing as quickly as we’d like (and may be in danger of stalling or even falling)."
"Users are sceptical and resistant to adopting AI, doubting its utility and ethics."
"Even after successful tests, we worry about pushing live in high-stakes healthcare environments."
"We're worried that inevitable failures will compromise safety or patient outcomes."
With Koru
"We're shipping impactful AI features, quickly responding to user feedback, and confidently meeting aggressive product roadmaps."
"AI complements human expertise, delivering reliable, transparent, and ethical solutions users trust."
"With a user-friendly interface and intuitive workflows, we’re confident healthcare professionals will quickly adopt and champion the platform."
"We have clear safeguards in place that ensure transparency, explainability, and trust in live clinical environments."
AI-Powered Care Coordination Tool For Healthcare Providers
A healthcare platform sought to streamline care coordination with AI by generating task recommendations, care plan suggestions, and patient interaction summaries. Our UX audit revealed that the AI’s workflow integration showed promise, but it was too primitive to be genuinely useful in a live clinical setting.
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AI-First UX Design
An AI-first approach isn’t just about adding smart features; it’s about rethinking the entire user experience to harness AI’s transformative power. From intelligent automation to personalized care, it’s how we future-proof our designs.
Integrating AI Into Existing Products
You’ve built a recognized and trusted platform, but staying ahead means looking at AI to tackle problems that weren’t solvable before.
AI presents novel opportunities for experimentation— finding where you can deliver new business value while blending seamlessly into existing workflows.
Maybe that’s launching new standalone products, expanding your feature set, or exploring challenges that were previously too complex. Or perhaps it’s simplifying, strengthening or reimagining existing solutions for greater efficiency.
We take a thoughtful approach to integrating AI and enhancing user experiences, ensuring your mature platform remains reliable, innovative, and relevant— now and into the future.
Unearth New Pockets Of Business Value
Before Koru
"We want to uncover opportunities to use AI to drive new business value and UX improvements."
"We’ve got multiple AI features and standalone apps on our roadmap. We need a design partner who can help us execute, fast."
"We’re uniquely poised to capture new users (even entirely new markets) – but the AI first-mover advantage won’t last long."
"I’m worried about change and disruption – will our users be adversely affected by well-intentioned new AI features and workflows?"
"We don’t have the luxury of ‘moving fast and breaking things’ – our users are sensitive to change and our hard-earned reputation is on the line."
With Koru
"We have a prioritized roadmap of AI opportunities that will enhance user experiences and deliver measurable business outcomes.”
"We are rapidly prototyping, designing and launching new features as quickly as we would like."
"We’re capitalizing on our existing brand and market share to launch successful AI products and features."
"Despite countless AI product enhancements, our UI and UX remains intuitive and distinctively ‘us’."
"We’re confident that we’re working on the ‘right’ AI initiatives and we have a strategic and measured plan for adding business value and enhancing user experiences."
AI-Powered Scribe To Elevate Provider-Patient Communication
Healthcare providers struggled with real-time documentation during patient interactions, leading to inconsistent medical records and reduced quality of care. While an AI-powered scribe was integrated to assist with documentation, the user experience needed to foster provider confidence in the AI's capabilities while allowing for full control over the documentation process.
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Why AI Does Not Guarantee Good UX
AI is not a shortcut to great design. Exceptional products require effort, and with AI, the challenge often increases—not decreases.
Novel technology alone doesn’t solve user problems; thoughtful design does. Without careful crafting, AI can amplify complexity, overwhelm users, and erode trust.
Good UX makes AI seamless, empowering users while keeping them in control. Ultimately, great UX isn’t about what AI can do—it’s about what users can achieve with it.
14 Key AI Patterns for
Designers Building
Smarter AI Interfaces
Design AI experiences that prioritize clarity,
transparency, and user control.
Koru’s 6-Step AI UX Design Methodology
Unlike traditional products, AI-powered products often introduce unpredictability in their outputs, requiring a new approach to design. Our UX for AI approach prioritizes the entire user experience, ensuring AI solutions are functional, human-centered, and built on trust.
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Koru’s 6-Step
AI UX Design Methodology
Prototype: AI Interface Design (and AI Model Training)
You’ll create intuitive AI interfaces that build trust by clearly communicating what your system can and cannot do, ensuring users feel confident and in control.
We’ll test your prototypes in real-world scenarios, like noisy environments, multilingual contexts, or high-pressure situations, to ensure workflows are intuitive and practical.
Your designs will also adapt to various modalities—voice, text, and visuals—so your software will be inclusive and accessible to all users.
The Result:
Your AI will feel seamless, inspire confidence, and deliver immediate value to your users in real-world conditions.
Validate: User Testing AI Products
You’ll discover how users interact with your product’s AI features and ensure it performs as expected in real-world settings.
We’ll embed tools that explain how your AI reaches conclusions, helping your users trust the outputs and confidently take action.
Our testing will focus on addressing latency and ensuring real-time performance, so your AI operates seamlessly even in high-pressure or time-sensitive situations.
The Result:
Your AI will deliver reliable, transparent, and actionable outputs, fitting effortlessly into workflows and enhancing decision-making.
Deploy: Large-Scale Testing (and AI Model Operation)
You’ll deploy a system built for adaptability, allowing features to be toggled on or off without disrupting workflows, giving you the flexibility to experiment and iterate confidently.
We’ll prepare your system for potential errors, designing clear recovery paths and visual indicators to handle challenges like bad predictions, transcription failures, or cold starts.
Your AI will include predictive assistance features that anticipate user needs, streamlining workflows and improving decision-making.
The Result:
Your system will be flexible, scalable, and reliable, encouraging exploration and building trust with your users.
Define: Human-centric AI Design Strategy (Data Collection)
You’ll develop a data collection strategy that ensures diverse, high-quality data, reflecting real-world complexities to deliver accurate, fair, and actionable AI outputs.
Your system will integrate seamlessly across devices—desktop, mobile, and wearables—providing a consistent, unified experience for your users wherever they interact with it.
We’ll address multilingual and multimodal challenges to ensure your AI remains accessible and functional for all users, regardless of context or environment.
The Result:
Your AI will deliver reliable insights, fit naturally into daily workflows, and build confidence in its outputs.
Empathize: Balance Human/AI Needs
You’ll empower users by designing systems that prioritize clarity, transparency, and control in every interaction.
We’ll include explainability features to show how decisions are made, while progressive disclosure will simplify complexity by presenting only the most relevant information at each step.
These designs will help bridge the gap between what users expect from AI and what it can realistically deliver, building confidence and avoiding over-reliance.
The Result:
Your system will empower users to make informed decisions while feeling confident and in control.
Learn: User-Driven Training
You’ll continuously improve your AI system with embedded feedback loops that adapt based on real-world usage and user needs.
We’ll include safeguards to address challenges like cold starts, bad predictions, and system failures, so your AI remains reliable in all scenarios.
Impact metrics, such as increased efficiency or error reduction, will guide ongoing refinements to keep your system aligned with evolving user expectations.
The Result:
Your AI will deliver measurable improvements and long-term value, evolving naturally with your users’ needs.
Ready to Find Out More?
Design Safe, Intuitive & Trustworthy Experiences for Your AI-Enabled Healthcare Software
