Healthcare · Legal · Regulated industries

Practical AI for Regulated Work

I help healthcare, legal, and other regulated organizations use AI on real work with privacy, compliance, and professional risk in view.

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How I work

Learn on real work. Keep the decision system.

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AI workshops for leadership teams

Four working sessions for 4 to 8 senior professionals. Your team works on real deliverables in the tools your organization already approves, with the confidentiality and compliance decision made as part of each exercise.

Healthcare variantLegal variant
Workshop detailsFrom $5,000

What the org keeps

  • A safe-use map for your approved tools and data classes
  • A risk triage rubric your team can apply to any new use case
  • A ranked list of your own AI use cases, built in the room
  • A 90-day plan with named owners and success measures
Ongoing

Advisory retainer

A fractional AI advisor for use-case decisions, vendor review, policy and governance, and staff enablement, all inside the tools your organization already approves.

  • Monthly advisory cadence with the leadership team
  • Vendor and tooling decisions, with the questions to ask
  • Policy and governance guidance your compliance officer can sign
Advisory detailsFrom $8,000 per month
Add-on

Executive intensive

Private one-to-one onboarding for the sponsoring executive, usually attached to a workshop or a retainer. Four sessions on your own work, at your own pace, without an audience.

Session detailsFrom $4,000

Why Clayton Advisory

Most AI consultants have not worked a day inside a regulated industry.

The questions that stall AI adoption in healthcare and law are not prompting questions. They are “what can staff paste into this tool,” “what becomes discoverable,” and “what will our compliance officer approve.” Answering those takes time inside the industry and time inside AI safety work. I have both.

20 years
Inside healthcare

Kaiser Permanente, Huron Consulting, and McKinsey's healthcare practice, before AI was the job.

9 of the 10
Largest US health systems

Served while leading healthcare analytics work at McKinsey.

5
Health system partnerships

Built while leading AI product work at Suki, voice AI for clinicians.

>99%
The bar I hold AI to

Experience shaping AI systems to be highly accurate, because the work is consequential.

Teera Price, Founder and Principal Advisor at Clayton Advisory
Teera Price
Founder and Principal Advisor
Full background

Engagement

How an engagement actually runs

No discovery phase you pay for, no deck-only deliverable. Here is the whole shape of it.

  1. 01

    A 30-minute call

    What your organization is trying to do with AI, who is driving it, and what your compliance officer will and will not approve.

  2. 02

    A written proposal

    Fixed price, named deliverables, and a scope that says what is not included. No hourly billing anywhere.

  3. 03

    The working sessions

    Your team, hands on keyboard, on your own real deliverables. Intake beforehand so the exercises use your work, not toy examples.

  4. 04

    What you keep

    A safe-use map for your environment, a risk triage rubric, a ranked list of your own use cases, and a 90-day plan with owners.

Ready to get your leadership team fluent, safely?

Tell me what your organization is wrestling with. If I am not the right fit, I will say so.

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