Bradley W. Petersen

Two healthcare technology exits. Active doctoral research on high-stakes decision architecture. Production AI infrastructure shipping today.

Bradley W. Petersen

Two ways to work together

Select the engagement that fits what you are evaluating. Senior leadership and consulting in tech and healthcare.

CEO and C-suite roles in technology and healthcare

Open to CEO, Chief AI Officer, Chief Strategy Officer, and other C-suite roles, full-time or fractional, at technology and healthcare organizations from growth-stage startups through publicly traded enterprises, where the strategic question is AI in a high-stakes environment. Right fit matters more than the title.

About this pathway

AI projects for organizations that need senior judgment

Most large consulting firms cannot match the combination of executive track record, active doctoral research, and production AI infrastructure. Forty years across healthcare, financial services, retail, transportation, energy, and technology. AI strategy, infrastructure design, and implementation for organizations where AI investments need to deliver and where getting it wrong costs patient harm, financial loss, regulatory exposure, or reputation.

Explore consulting

Or start with The High Stakes Review.

A senior diagnostic review of your AI initiative. The structural exposure, the unstaffed roles, the failure modes. Diagnosis and direction, in writing.

Learn about The High Stakes Review
Two healthcare technology exits
Madison Dearborn Partners logo

Total Benchmark Solution acquired by Kaufman Hall and Madison Dearborn Partners

IBM Watson Health logo

Built the BI platform that became part of IBM Watson Health

Forty years of work

2,000+
Hospitals on platforms I architected
1,000+
Healthcare organizations served as a consultant
2
Companies built and exited

Active in 2026

3
Platforms shipping under Orbis Scientia
8
Papers and essays released
2
Peer-reviewed conference proceedings on startup success factors
See clients by sector
How I Help You

Implementing AI successfully in high-stakes environments.

Two active research streams. The first studies entrepreneurial success at scale, drawing on a longitudinal venture database of more than four million firms. The second studies high-stakes decision architecture, where the alignment of necessary conditions and the weakest link constrain outcomes that averaging methods cannot natively express.

May 2026Free Download

High Stakes Reasoning

White paper

A Strategic Framework for Accountable AI. Synthesizes five reasoning architectures into PARS and introduces the High Stakes Reasoning Gate.

Read the summary
April 2026Free Download

The High Stakes Decision

White paper

Why high-stakes AI decisions require alignment-based and weakest-link architecture, and why most platforms cannot express it.

Read the summary
April 2026Free Download

When AI Fails

White paper

Twelve case studies, two analyst forecasts, and one architectural diagnosis.

Read the summary
Currently in Market

Production AI infrastructure shipping today.

Three product properties under Orbis Scientia, all in market or finalizing for launch. The same architectural thesis behind the consulting work is in production code I am shipping now. The platforms below are how the methodology gets deployed.

Enterprise AI Infrastructure for High-Stakes Workflows

OrbisFramework

The infrastructure layer for complex enterprise AI workflows.

Now shipping

Enterprise AI workflow infrastructure built for complex workflows and high-stakes decisions. Complete pipeline of governance, orchestration, data integration, security, audit, and decision gates pre-built and inherited on day one. Workflows reach production in weeks, not quarters.

Academic and Institutional Research

Orbis Scientia

The intelligent research workflow platform.

In pilot. Full rollout planned for 2026.

The research software that built OrbisFramework. End-to-end research lifecycle from initial idea to publication-ready manuscript, with persistent memory, full audit trails, and reproducibility frameworks aligned with PRISMA, STROBE, and CONSORT. Designed for serious scholars and institutional research environments.

Individual Researchers, Doctoral Candidates, Faculty

OrbisScholar

Gen AI Mastery for Research Amplification.

Course finalizing for launch

A 50+ hour competency-based practicum that takes research professionals from foundational understanding through advanced prompting, persistent project configuration, live MCP database integration, and full research lifecycle application. Every asset built during the course is the researcher's to keep and deploy. The researcher is the authority. Gen AI is the amplifier.

Ford Motor Company and Chrysler

1977 to 1978

Deming quality methodology

Accenture

1979 to 1989

Vizient

1989 to 1993

Exit: Built the BI platform that became part of IBM Watson Health

American Healthcare Solutions

1993 to 2024

Total Benchmark Solution

2005 to 2016

Exit: Acquired by Kaufman Hall and Madison Dearborn Partners

Orbis Scientia

2024 to present

Shipping today

Forty years building, scaling, and exiting healthcare technology businesses. The full path is on the About page.

Read the full story

The standard for AI in high-stakes environments is not whether it works in a demo. It is whether a board, a regulator, and a patient's family would all accept the answer. Most platforms cannot meet that standard. The ones that can are built differently from the ground up.

From 'The High Stakes Decision,' April 2026

When you absolutely have
to get the decision right.

100% of the time, 24 hours a day, 365 days a year. When getting it wrong means financial loss, customer loss, reputational loss, or worse, regulatory shutdown.
Call me. I can help.

Consulting engagement, full-time role, fractional seat, strategic review, or a question that does not fit any of those yet. We will figure out the fit on the call.