Akshat Mishra
Lead Product Designer for Agentic Experiences at Docusign
San Francisco product designer at Docusign with a computer science and human-computer interaction background from the University of Michigan School of Information. He works at the seam between design and AI, prototyping and shipping production code with AI tools, and previously worked on AI products at Appen.
Key arguments & positions
- Argues designers should build, not just specify — using AI tools to carry an idea from prototype to shipped code.
- Advocates writing down product and design judgment in a constraint document (his "taste.md" idea) so AI tools produce work that fits rather than generic output.
- Talks about how AI changes team dynamics and the speed at which product decisions get made.
- From his conference talk: a workflow for shipping agentic features that are useful instead of "AI slop".
Accomplishments
- Lead Product Designer for Agentic Experiences at Docusign, after about four years there.
- Previously worked on AI products at Appen.
- Speaker at UXCON Vienna, Future Builders and the AI Builders Global Conference 2026.
- Maintains a public portfolio of shipped work, including In-Platform Audit, Sair and the Appen rebrand.
Papers & key writings
Links
In the library
Nothing of theirs is filed in the hub yet. Browse the full library.
Recommended next
Hand-picked from the hub based on what Akshat Mishra covers.
OpenDesign
An open-source design workspace for building prototypes, landing pages, dashboards, slides, and HTML video with your own coding agent.
Why this: Also about prototyping
How CEOs Can Help CTOs and CIOs Prepare for Agentic AI
BCG article (2026) on what chief executives can do to help technology leaders get their organizations ready for agentic AI.
Why this: Also about agentic AI
Webinar: The Harder Problem — Proving Action Correctness in the Age of Agentic AI
An AWS-led session on why detection systems miss authorized-but-wrong actions, revisiting the concept of 'repudiation' and applying a correctness framework to securing newly deployed AI agents.
Why this: Also about agentic AI
AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC
Proposes AIMS, an agentic AI framework that turns a plain-language deployment request into a sim-to-real configuration for multi-modal integrated sensing and communication (ISAC) in wireless networks. A scene construction agent and a scene understanding agent coordinate sensing, wireless and learning components, and experiments on the real-world DeepSense 6G dataset show improved vehicle detection and beam prediction over simulation and fusion baselines.
Why this: Also about agentic AI
