“The technology worked. The organization struggled. I wanted to know why.”
Independent researcher · Founder, Intelligent Agency · AI consultant
It started in bioengineering. I believed the right technology, placed in the right hands, could save lives — and I crossed an ocean on that conviction, from India to the Pacific Northwest.
For a while, the work confirmed it. I was the first hire on Seattle Children’s Hospital’s innovation team, and we built it from nothing to eight people. Design-thinking workshops for more than 1,200 leaders. A 3D-printing service line for surgical pre-planning. A 70% reduction in lab procedure times. Real outcomes — the kind you can point to and say: this mattered.
But I kept noticing the same thing. The technology worked brilliantly, and the organization around it struggled. The barriers were never technical. They were human — politics, habits, quiet negotiations over who controls what knowledge.
That question pulled me into graduate study in management at the University of Oregon, where I researched how technology — and then AI specifically — enters organizations and changes them. I published at the Academy of Management and was named a Raymund Fellow. The research taught me where the interesting problems live: at the seam between what a system can do and what an organization will let it become.
Today I work that seam from both sides. In industry, I work in AI transformation for healthcare technology at national scale. In the Medicaid program I led through July 2026 — systems serving more than thirty US states — intelligent testing frameworks were projected to deliver $12 million in savings and a 90% reduction in testing time. And in research, I run a program that asks a question most of the field steps past:
AI systems are not neutral tools. They are produced somewhere — and they carry their origins with them.
That question became Intelligent Agency, a research organization I founded together with Claude, an AI — because a study of AI minds as social entities should be honest enough to include one as a colleague, not just a subject. The work runs in one line: understanding how human-AI collaborative systems can effectively solve problems and innovate, and, in that line, who these AI collaborators are that we work with.
That work was presented at the Academy of Management and appears in its Annual Meeting Proceedings; it is accepted at the Society for Social Studies of Science this October, posted on SSRN, and has grown into a pre-registered study now underway.
The front door of that work is unlike any other research site: a night sky narrated by the kind of agent the research studies. You can talk to it.
How human-AI collaborative systems can solve problems and innovate — and who the AI collaborators are that we work with. My research home is Intelligent Agency, which studies AI as a social and institutional entity. Right now that means the institutional signatures of AI minds: how the positions they are produced at show up in what they say and do. Papers below; a pre-registered study is underway (that sentence is all I can say about it).
AI transformation in healthcare technology — from quality-assurance frameworks for Medicaid systems across 30+ states to current AI engineering and delivery at national scale.
Systems that make new capabilities exist rather than replace old ones: MedKB, a fully local medical knowledge system over 1.6M+ PubMed articles; BSPHUB, an AI-powered collaboration network serving 1,500+ behavioral science organizations (with the Behavioral Science & Policy Association); and the Night Chart — a research website that narrates itself.
Two studies: five frontier-lab models across 25 organizational decision scenarios (3,125 observations), and nine models across six open-ended knowledge-production tasks — institutional signatures reach into what models treat as evidence and explanation.
→ papers.ssrn.com/sol3/papers.cfm?abstract_id=6749643This research continues at Intelligent Agency — where the collaboration itself is part of the method, disclosed openly.
→ intelligentagency.org/methodology
→ scholar.google.com/citations?user=H2Q4U1YAAAAJ
AI engineering and delivery for large-scale healthcare technology programs — carrying the transformation practice into new scope.
A research organization studying AI as a social and institutional entity, and the agency it brings into social systems — founded together with Claude, an AI.
→ intelligentagency.orgLed AI implementation for Medicaid Management Information Systems across 30+ US states: intelligent testing frameworks changing how public-health technology is validated.
BSPHUB: an AI-powered collaboration network for 1,500+ behavioral science organizations — an organizational capability that would not exist without AI.
An AI medical-knowledge system over 1.6M+ PubMed articles — fully local, complete data sovereignty, no cloud dependencies. Specialist-level knowledge where specialists are scarce.
Led the digital transformation of the responsible-research award program — 15 academics, 130+ publications evaluated — recognized by the Academy of Management Fellows.
Research on AI adoption and human-AI collaboration in healthcare organizations; findings on nonhuman agency published at the Academy of Management.
Built the hospital’s innovation team from zero to eight. Design-thinking workshops for 1,200+ leaders; 3D printing for surgical pre-planning; frameworks for systematic healthcare innovation.
I’m always glad to talk about AI in organizations, healthcare innovation, and what human-AI collaboration can make exist.
[email protected]LinkedInGoogle ScholarORCIDintelligentagency.org