A framework for human oversight into everyday decisions affecting AI-powered products — with clear interfaces and workflows to manage, review, and control automated decisions.
See the framework in action
Quiz
Most AI products ship without real human oversight. Answer 5 questions to see where yours stands.
Question 1 of 5
The AI Governance Problem
Most AI governance efforts stop at the algorithm — monitoring outputs, logging decisions, and filing compliance reports. They don't address the layer where those actions actually land: the interface where a clinician accepts a recommendation, or a compliance officer tries to understand why a model flagged a record.
When that layer is designed without intention, governance becomes little more than going through the motions. Humans are technically "in the loop," but they can't see the reasoning, push back on the system, or intervene before the damage is done.
That's the gap The Human Seam was built to close.
Common problems
The UX Solution
AI governance and human oversight UX focuses on how humans interact with AI decisions and oversee systems. Instead of managing the infrastructure, it designs accountability mechanisms.
Interfaces must
The Human Seam™ Framework
A framework for designing the human interaction layer into automated products. Because governance shouldn't just be compliant — it should be comprehensible.
01
Users understand how decisions are made in models. Interfaces convey reasoning, not just results — making the otherwise invisible logic of AI visible to the people who depend on it.
02
Humans are able to monitor and intervene. Design gives people control when they need it — not the illusion of control buried in a settings menu.
03
Decisions are logged and discoverable. UX makes audit trails practical — connecting data to human understanding for regulatory confidence and institutional trust.
04
Mistakes can be easily flagged and fixed. Systems are designed with potential failures in mind — creating clear pathways for humans to challenge, override, and improve AI behavior over time.
Why Now
The EU AI Act is in effect. FDA guidance on Software as a Medical Device is tightening. CMS is issuing new requirements around AI-assisted clinical decision-making. ISO 42001 is establishing the global standard for AI management systems. And for the first time, regulators aren't just asking whether your AI works — they're asking whether the humans responsible for it can actually understand, supervise, and override it when it doesn't.
Most product teams aren't ready for that question. The Human Seam helps you get ahead of it. Not with a compliance checklist, but with a UX strategy that makes human oversight real, and defensible.
How we work
We start with a structured intake: your product, your AI features, your current governance posture, and your regulatory obligations. I map the human touchpoints where oversight should be happening, and where it isn't.
I run a full AI Governance UX Audit against the four-pillar framework — evaluating your current interface against transparency, oversight, accountability, and correction standards. You receive a prioritized findings report with severity ratings and reference to applicable regulatory guidance.
Depending on scope, deliverables include: annotated UX recommendations, designed human oversight interfaces for system workflows, AI governance framework with standards and guidelines for responsible AI deployment. Everything is built to hand off to your team or agency partner.
All work is confidential and covered by mutual NDA.
Who it's for
About
An independent advisory practice focused on designing the human layer of AI systems — where automated decision-making meets real-world responsibility.
Led by Stacie Kincade, Senior UX & Information Architecture Strategist.
For over 9 years, Stacie has designed complex digital systems for healthcare, pharma, and enterprise platforms. In these high-stakes industries, the margin for error is small and the consequences are operational, financial, and regulatory.
Today, her work focuses on an emerging problem: How do we design AI systems that preserve real human agency in automated environments?
As organizations rapidly integrate machine learning into critical products and workflows, the interface between human judgment and AI output becomes the place where risk, accountability, and trust are governed. The Human Seam works with product teams and leadership to design the interfaces, workflows, and governance mechanisms that allow organizations to:
The goal is simple: AI systems that humans can truly oversee and operate — not just compliant on paper.
Tell me a bit about what you're building and where AI governance sits on your roadmap.
See the framework in action
The Human Seam AI Governance UX Audit surfaces exactly where your product's human oversight layer is missing, incomplete, or misleading — mapped against the four pillars and your applicable regulatory obligations.
Sample: Human Review Dashboard · Komodo Health Audit
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