Voice conversation design
Turn-taking, silence handling, interruption logic, tone calibration, and spoken response design for voice-first AI products.
Services · AI Experience Design
In the age of AI, there is no UI.
The interface is the conversation. The experience is the outcome. Most teams are still designing screens when they should be designing interactions - and it shows.
iMessage
Patient ↔ Clinical AI
iMessage
The Shift
AI doesn't need a screen. It needs a design.
The best AI products aren't defined by their dashboards. They're defined by how the AI understands the user, what it delivers, and how that delivery feels. That's what we design.
- 01
How AI understands your customers
What context does it need? How does it gather it without friction? What does it do when it's uncertain?
- 02
How AI delivers the outcome
Speed, tone, format, confidence. Every delivery decision shapes how users perceive your product.
- 03
How the system is designed around the AI
Fallbacks, handoffs, memory, escalation. The invisible architecture that makes AI feel reliable.
What We Design
Every channel your AI touches.
AI experiences aren't just chat windows. They span every surface where your product interacts with users.
Messaging channel design
WhatsApp, SMS, and email conversation flows designed for the constraints and expectations of each channel.
Chat experience design
In-app chat interactions - response format, progressive disclosure, clarification flows, and graceful failure states.
Agentic workflow UX
How users interact with multi-step AI agents - visibility into what the agent is doing, when to trust it, and when to intervene.
Human-AI handoff design
When does the AI escalate to a human? How does that transition feel? Designing the moments where AI reaches its limits.
Onboarding and trust design
First impressions matter more with AI. Designing the flows that get users to trust and rely on your AI from day one.
Case Studies
AI Experiences We've Designed
WeKare
Building the Voice-First Life Management App with WeKare
Tequity took WeKare from discovery to a live consumer voice-to-tasks app on both the App Store and Play Store - including the messy parts most teams trip on: payment infra, Apple's AI disclosure bar, and a clean subscription model.
Live on App Store and Play Store
Client name withheld
Breaking the Language Barrier in Healthcare with Real-Time AI Translation
End-to-end HIPAA-compliant engineering for a US health-tech company building a real-time clinical translation engine - sub-second latency, hallucination detection, and edge-case-language support, all in production.
50,000+ voice minutes of real-time medical translation per month
Client name withheld
Automating Patient Outreach at Scale with AI SMS + Voice
End-to-end design and engineering for a US healthcare outreach platform - multi-tenant, multi-language (90+), with AI auto-response, redetermination workflows, and full traceability through Langfuse for every AI decision.
100,000+ AI-generated SMS sent through the platform
MonkSpaces
Transforming Property Management With a Unified, Streamlined SaaS Experience
Rebuilt MonkSpaces' property management platform into a unified SaaS product that consolidates tenant management, maintenance, payments, and reporting into one intuitive system.
All property operations unified in one platform
Engagement Options
Design it once, or keep improving it.
AI experience isn't a one-time problem. User expectations shift, models improve, and the best products iterate continuously.
ONE-TIME
AI Experience Design Sprint
Design your core AI interactions end-to-end.
- Audit of existing AI interactions and gaps
- User journey mapping for AI-led flows
- Conversation and interaction design across chosen channels
- Tone of voice and response framework
- Failure states and fallback design
- Figma prototypes and interaction documentation
ONGOING RETAINER
Continuous AI Experience
Iterate and improve as your product evolves.
- Everything in the Design Sprint
- Monthly interaction review and iteration
- New channel and feature design as you ship
- User feedback analysis and design responses
- AI model update impact assessment
- Quarterly AI experience audit and roadmap
From the Blog
Related Reading
Design
7 Principles for Designing AI-Powered Interfaces
Designing for AI is different from designing for deterministic software. These principles guide how we approach AX design.
Ishiyetaa Sani
Co-Founder & Head of Design
Design
How to Run UX Research for AI Products
Standard usability testing doesn't capture the unique challenges of AI interfaces. Here's how to adapt your research process.
Ishiyetaa Sani
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AI Engineering
Building Production Voice AI: What We've Learned
Voice AI in demos feels like magic. In production, it's a systems engineering problem. Here's what we've learned.
Rahul Nair
Co-Founder & Head of Engineering
Your AI is only as good as the experience around it.
Let's design interactions that make your AI feel like the product - not just a feature bolted onto it.