About¶
Founder¶
Nikhil Singhal¶
Enterprise AI Architect & Builder | Hands-on CTO | Founder, AI Trust Commons
I design, architect, and ship production AI systems. Agentic pipelines, retrieval and RAG, multi-agent orchestration. The work runs across the full Human Intelligence Partnership Charter map: Foundation, Tooling, Pipeline, and Integration patterns. These are not wrappers. They are architectures designed for two intelligences working together.
The building taught me something. The hardest problem in AI is not what the machine can produce. It is the structural gap between what the human means and what the machine does. I call it the Intent Layer. That insight became the HIP Charter, AI Trust Commons, and the From Instinct to Intent™ series.
Three decades at Microsoft, T-Mobile, AT&T, Expedia, and Hitachi Consulting. The governance layer between intent and execution was always the hardest part to get right. The same pattern is playing out in AI.
nikhilsinghal.com LinkedIn GitHub ORCID Email
What is AI Trust Commons?¶
An open-source initiative building the cross-provider governance layer that is missing. The connective tissue between what governments and organizations want AI to do (governance intent) and what AI systems actually do (technical enforcement).
Publications¶
The From Instinct to Intent™ Series¶
The core thesis: the bottleneck in AI is no longer the technology. It is humanity's ability to discover and express intent, what we actually want AI to do, in forms that machines can act on faithfully.
The Human Intelligence Partnership Charter¶
Four partnership patterns. Fifteen positions on the map. Drop "artificial." Start building with intelligence.
Read the Charter at hipcharter.com
Charter DOI: 10.5281/zenodo.19078843
NIST Submissions¶
| Title | Channel | DOI |
|---|---|---|
| Public Comment on AI Agent Governance (~5,000 words) | regulations.gov | 10.5281/zenodo.18903117 |
| NCCoE: Intent Conveyance in AI Agent Authorization (~5,900 words) | aitrustcommons.org | 10.5281/zenodo.19197399 |
All articles published on aitrustcommons.org, Medium, and Zenodo. From Instinct to Intent™ is a registered trademark (USPTO Serial 99690685).