Bradley W. Petersen

Two healthcare technology exits. Performance improvement coaching. Production AI infrastructure shipping today.

Performance improvement coaching and production AI infrastructure are two forms of one thesis: the value is not the model or the analysis, but the structure around it and the judgment that improves with use. The Cycle of Success Institute builds that structure in people. OrbisFramework builds it in software.

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Bradley W. Petersen

Two ways to work together

Select the engagement that fits what you are evaluating. Coaching for teams that need to improve performance;
consulting for organizations facing high-stakes AI decisions.

Performance improvement coaching

The Cycle of Success Institute is a business coaching and education program running since 2001, built on empowered cross-functional Tiger Teams, a structure taken from NASA, that run continuous improvement inside your organization rather than delivering findings to it. Forty years of performance improvement work behind it, from the profit improvement methodology team at Accenture through American Healthcare Solutions. 6 major turnarounds delivered.

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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.

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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

2
Product platforms in market under Orbis Scientia
8
Papers and essays released
2
Peer-reviewed conference proceedings on startup success factors
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Currently in Market

Production AI infrastructure shipping today.

Two product platforms under Orbis Scientia, both in market. 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.

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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.

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More about what I build
The Thinking Behind It

The research behind the work.

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.

2026Peer-reviewed

Organizing for Growth: How Market-Facing Department Formation Drives Startup Success

Peer-reviewed conference proceedings

Also presented as Signaling Market Readiness: Early-Stage Startup Behavior and Venture Funding Progression. Cox proportional hazards models across 265,509 global ventures.

Read the abstract
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.

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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.

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April 2026Free Download

When AI Fails

White paper

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

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See all academic research

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

Cycle of Success Institute

2026 to present

Performance improvement coaching

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

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“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.

Coaching engagement, consulting project, or strategic review. Fifteen minutes will tell us which one fits.

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