Quality, specified!
The Standard
Every run answers to a standard I wrote first, so the output is checked rather than trusted.
Design Lead at EPAM Systems. I work on how design organisations should operate once AI becomes part of the delivery infrastructure, not simply on how designers use it.
Quality, specified!
Every run answers to a standard I wrote first, so the output is checked rather than trusted.
Review, built in!
Every agent checks its own work against it before a person is ever asked to look.
Judgment, kept!
The agent flags what falls short. Whether that is really a problem is still my call.
Pipeline, shared!
Anyone brings a brief in, the pipeline runs the same way, and they review at the checkpoints.
Gaps, reported!
The team runs it on their own work, and every gap and better idea comes straight back.
Pipeline, refined!
User needs, team notes, run results, business goals: I weigh them, refine the pipeline, it starts again.
To those building design organisations
Most of what gets called AI-native design is a faster way to make the same artefacts. The drawings arrive sooner. Nothing else changes.
The question I work on is not how designers use AI. It is how a design organisation should operate once AI is part of the delivery infrastructure: how complex design work decomposes into reusable skills, specialised agents, orchestration, validation, and the human decision points that hold the whole thing accountable.
That last part is the part everyone skips. A pipeline that grades its own work and passes is not a pipeline, it is a demo. Something has to be able to stop it, and someone has to be willing to.
I deliberately separate automation from delegation.
Design leadership in an AI-native organization requires knowing the difference.
Avadhesh Kumar Singh
Awarded inside the studio, by the people who saw the work land.
Assessed outside it, against someone else’s bar.