Field-level analysis of specialty pharmacy operations, AI governance, and patient access — written for the people running the platform. The keynotes cover the rest.
Looking for the deeper work? Whitepapers & Reports →
The inaugural field report: The State of Healthcare AI Readiness 2026 →

The second half of The Autonomy Line: when automation hands back hours, who ends up holding them.

The first half of The Autonomy Line: the one question that tells you whether an AI rollout worked.

How to choose a hub partner in the forced-transition window — three pillars, five red flags, one pricing model.

How fragmented hubs quietly tax every stakeholder.

Why the forced-transition moment is the best hub hiring window in twenty years.

The whole framework in one place: three areas, one continuum, and why readiness reads from the weakest one.

Why the governance and accountability questions are actually an architecture question.

Why every healthcare AI rollout is measuring the wrong thing.

High adoption scores can coexist with an organization that is not ready for the first AI decision that goes wrong.

The gap between documented policy and actual workflow is where the liability lives.

The danger isn't AI errors. It's what happens when AI is mostly right and people stop looking.
Essays, field notes, and episode companions published on Substack. Same practice, different shelf.
The three-layer architecture and the $200K playbook, with Versatad's Rob Tinsley and Jason St. Peter.
How the gap between the admin P&L and the medical-loss ratio makes prior-auth “savings” reappear as downstream care cost.

How a per-case contract structure quietly converts every touchpoint into billable friction — the full argument.

Access friction isn't a model problem. It's an incentive and architecture problem wearing an AI costume.

Adoption metrics can be green while the people carrying the change are quietly leaving.

The three-layer architecture that makes AI work in HUB operations.

On performance reviews, self-worth, and the careers that outgrow the systems measuring them.
Disconnected care isn't inevitable. It's an architecture choice — and the version of AI failure no one talks about.

The goal isn't less oversight. It's smarter oversight — calibrated to risk, not defaulted to fear.

"Human-in-the-loop" without workflow specificity is a gap wearing the vocabulary of a framework.

These aren't implementation failures. They're sequencing failures.
This is the thinking behind ARC. The assessments turn it into a measured picture of your organization.
See where you stand ↗Thirty minutes, on your calendar, no forms in between.
Prefer email? ankur.jain@arthaconsultinglab.com