Driving Healthcare outcomes by connecting leaders with high-impact talent | Founder at Talenta | CHRO

Chief HR Officer. Executive Recruiter. Founder. Business Builder.

The game of business is the challenge of a lifetime — and the one I keep coming back to.

I’ve built my career on a clear conviction: companies that scale well are led well. In private equity, founder-led, and high-growth environments, leadership and people systems determine whether momentum compounds or stalls.

I serve as Chief HR Officer at Premier Roofing, a Denver-based, Aurora Capital–backed business scaling in a fiercely competitive market. Alongside that, I run Talenta HR Group, my boutique firm helping PE-backed companies solve their toughest people challenges through executive search, fractional CHRO support, and talent strategy advisory.

I also created TalentSignal— an AI-powered recruiting visibility tool that helps growth companies uncover brand blind spots, benchmark funnels, and attract the right talent faster.

What you’ll find here: sharp takes on talent, performance, private equity, and business in general. Wins, mistakes, and the occasional contrarian view.

If you’re building something ambitious — or wrestling with the friction of scale — my DMs are open.

Alden Pennington

Brian R. Spisak, PhD

I'm a leading voice in AI transformation and human factors in healthcare with a proven record for increasing employee engagement, boosting patient satisfaction, and achieving sustainable growth.  

- I have 15+ years of experience innovating next-level results with diverse organizations, including AdventHealth, the American College of Healthcare Executives, Harvard, Meta, NATO, and PwC Health Industries. 

- I leverage high-quality data, proven science, and cutting-edge tech to build a thriving and modern workforce in healthcare.

𝐑𝐞𝐜𝐞𝐧𝐭 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬

- Contributed to a multi-billion-dollar digital transformation initiative for a national healthcare agency.

- Helped formalize a data utilization strategy that significantly raised patient Net Promoter Score for a large health system.

- Co-created processes leading to a new multi-regional team for enhanced patient assessment and seamless service coordination across multiple providers.

- Authored the best-selling book, 𝘊𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘓𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱.

𝐑𝐞𝐜𝐞𝐧𝐭 𝐓𝐡𝐨𝐮𝐠𝐡𝐭 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩

- Spisak, B. R. (2023). How leading consultancies can better manage AI risk. 𝘏𝘢𝘳𝘷𝘢𝘳𝘥 𝘉𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘙𝘦𝘷𝘪𝘦𝘸.

- Spisak, B. R., Rosenberg, L. B., Beilby, M. (2023). 13 principles for using AI responsibly. 𝘏𝘢𝘳𝘷𝘢𝘳𝘥 𝘉𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘙𝘦𝘷𝘪𝘦𝘸. 

- Spisak, B. R. (2022). How data can make better managers. 𝘏𝘢𝘳𝘷𝘢𝘳𝘥 𝘉𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘙𝘦𝘷𝘪𝘦𝘸.

𝐑𝐞𝐜𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤

- “I think Dr. Spisak is an expert in this subject matter which highly elevated the substance of what we were reviewing. He is a thought leader, highly invested, and has created an opportunity for us to explore more alongside him. I have yet to have this kind of experience (it is invaluable exposure).”

- “Appreciated Brian's real-world experience, sense of humor, engagement with the group (rather than just 'reading through the slides'), and efforts to promote interactivity.”

- “[Brian's] program has definitely given me an awareness of the AI opportunities that exist and how we must lead first and use them [AI-powered solutions] as tools/co-pilots…Our [engagement with Brian] has helped me be better prepare for conversations internally and with our external partners.”

Strategic Partner - Hospital Workforce and Cultural Improvement 

• Integrating CareLuminate's comprehensive care quality data with my expertise in workforce and cultural improvement to empower executives with actionable insights that elevate provider and patient outcomes.

Brian PhD

𝟭𝟯 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝗳𝗼𝗿 𝗨𝘀𝗶𝗻𝗴 𝗔𝗜 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝘆. Published in Harvard Business Review, this framework I co-authored is essential as AI adoption continues to outpace governance. Here’s the summary:

1. Informed Consent

AI should only be used when people clearly understand what it does, why it’s used, and the risks involved.

2. Aligned Interests

Responsible AI ensures the benefits and risks are transparently shared.

3. Opt-In & Easy Exits

Participation in AI systems must be voluntary, reversible, and free from hidden penalties.

4. Conversational Transparency

AI systems should openly disclose their goals, especially when influencing human decisions or behavior.

5. Debiased & Explainable AI

Organizations must actively reduce bias and be able to explain how AI reaches its conclusions.

6. AI Training & Development

Employees need ongoing education to use AI safely, effectively, and responsibly.

7. Health & Well-Being

AI should enhance human performance, not create stress, surveillance anxiety, or psychological harm.

8. Data Collection

Only necessary data should be collected, with clear limits on intrusive or invasive practices.

9. Data Use & Sharing

People deserve transparency about how their data is used, shared, and for what purpose.

10. Privacy & Security

Strong safeguards must protect personal data and define clear responses to breaches.

11. Third-Party Disclosure

Organizations should clearly identify all AI vendors and how they protect stakeholder privacy.

12. Communication

Any changes to AI systems, data practices, or partners must be clearly and proactively communicated.

13. Laws & Regulations

Responsible AI requires continuous compliance with evolving legal and regulatory standards.

𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲

Without clear AI governance grounded in these principles, speed will keep winning over safety, and organizations will pay the price sooner rather than later!

________________________________
PS: A big thanks to my coauthors Louis Rosenberg and Max Beilby (source in the comments).

Brian Spisak PhD

Healthcare Executive | Harvard AI & Leadership Program Director | Best-Selling Author

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