Agentic Experiences
We’re not designing
interfaces anymore.
Enterprise software that works for the people who actually use it. From offshore platforms to control rooms.
Get In Touch→Low-penalty, ambiguous, and unpredictable —
nobody is designing these.
We’re different.
The Problem
Agentic AI is being
built by engineers,
for engineers.
Most enterprise AI initiatives fail not because the technology doesn’t work, but because the humans can’t work with it.
AI agents are being deployed without consideration for how operators will monitor them, when they should intervene, or how to build the trust required for effective human-AI collaboration.
The result? Expensive AI systems that get ignored, overridden, or abandoned.
Of enterprise AI projects fail to deliver expected value
– Gartner Research
Enterprise
Human Factors for AI
We apply decades of human factors research from aviation, nuclear, and industrial safety to the design of AI agent interfaces and workflows.
Calibrated Trust
Users need to know when to trust the agent and when to intervene. We design transparency mechanisms that build appropriate trust, not blind faith or excessive skepticism.
Explainable Actions
Operators can't supervise what they don't understand. We ensure every agent action can be explained in terms the operator understands and can verify.
Graceful Handoff
When agents reach their limits, control must transfer smoothly to humans. We design escalation paths that feel natural, not alarming.
Appropriate Autonomy
Not every task should be automated. We help organizations find the right balance between agent autonomy and human oversight.
We come from
high-stakes industries.
Our team has designed human-machine interfaces for oil platforms, nuclear facilities, air traffic control systems, and military operations.
In these environments, unclear interfaces don't just reduce productivity. They cost lives. We've learned what it takes to design systems people can truly rely on.
We bring that same rigor to AI agent design.
“In safety-critical environments, there's no room for ‘the user should have known better.’ The system must guide correct actions.”
– Daito Design Research Team
The Agent Journey
We help organizations understand where they are in the transition to agentic AI,
and design the right experience for each stage.
Automation Islands
Discrete RPA & basic automation
AI-Assisted
Recommendations & insights
Semi-Autonomous
Agents with approval gates
Supervised Autonomy
Agents with exception handling
Collaborative Intelligence
Multi-agent orchestration
Our Process
How we work
Field Research
We embed with your operators to understand their work, their workarounds, and their pain points. No assumptions. No surveys. Real observation in real environments.
Interaction Design
We design the conversation between human and agent: when to inform, when to ask, when to act. We prototype and test with real operators before a single line of code is written.
Change Enablement
We don't just deliver designs. We help organizations build the muscle memory for human-AI collaboration through training, playbooks, and ongoing support.
Resources
Start Your AXD Journey
Free tools to assess your current state and learn the framework.
Agentic Risk
Assessment
10 questions. 3 minutes. Discover your organization’s AI agent deployment risks across data, business, human oversight, and compliance dimensions.
Take the AssessmentThe Agentic
Manual
A comprehensive framework for designing Human-AI collaboration. Covers the HAS Map, Calibrated Trust, Explainable Actions, Graceful Handoffs, and Appropriate Autonomy.
Download the Guide→Ready to design your Agentic Experience?
Whether you’re planning your first AI agent deployment or scaling existing systems, we can help you design for adoption.