Everyone is talking about Artificial Intelligence. The conversations happening in boardrooms, at conferences, and across LinkedIn all tend to follow the same pattern. Which tools should we adopt? How do we get our people using AI faster? How do we keep up?
Those are understandable questions. They are also the wrong ones to start with.
If you have been following the ISPI Renaissance Revival series, you already know why. Guy Wallace reminded us that performance improvement is not about fixing people or handing them new tools. It is about designing the whole system so people can succeed. Roger Kaufman spent decades making the case that "need" is a noun, not a verb: it is a gap in results, not a call to action. Judy Hale brought it full circle: HPT is not just systemic in its view. It is systematic in its discipline.
When we apply that same lens to Artificial Intelligence, the question changes. It is no longer "which AI tools should we adopt?" The question becomes: "What gap in performance are we actually trying to close, and is AI the right intervention to close it?"
That is the question AI4PI was built to answer.
What AI4PI Actually Is
AI4PI, Artificial Intelligence for Performance Improvement, is ISPI's flagship professional pathway. It is the first of its kind in the performance improvement field. No other professional organization in our discipline has built an evidence-based, structured framework for applying AI as a performance intervention rather than as a novelty or a shortcut.
And here is the part that makes it fundamentally different from every AI certification you have seen advertised in the last two years: the focus of AI4PI is not on the technology itself. It is on how performance improvement professionals can apply AI in their practice, grounded in the same diagnostic rigor that defines our field.
The AI4PI Framework is built on four principles and six process steps (Dalat, 2024). The principles establish the ethical foundation: Human Oversight of AI solutions, Data Integrity and Privacy, Biases and Ethical Considerations, and Governance and Risk Management. The six process steps should look familiar to any HPT practitioner, because they begin exactly where our field has always insisted we begin.
Step one is Discovery and Needs Analysis.
Not tool selection. Not platform comparison. Needs analysis.
That is not an accident. That is evidence-based practice applied to a new domain.
Why This Is the Breakthrough Pillar
The second pillar of the ISPI Renaissance is Breakthrough, and it is easy to misread what that word means. It does not mean chasing whatever is new. It means leading the field into new territory using the rigor we already have.
AI4PI is what that looks like in practice. It is the same systems thinking that Guy Wallace described. It is the same commitment to results that Roger Kaufman spent his career defining. It is just applied to the most consequential technological shift of our professional lifetime.
The field needed a standard for applying AI responsibly, ethically, and effectively. Not a list of tools. Not a one-day workshop. A standard. ISPI built one.
How to Get Involved
The AI4PI Journey is available now, a self-paced, project-based learning program that walks you through the framework in the context of real performance improvement work. ISPI members can access the Certified AI Performance Technologist (CAIT) certification at a special introductory rate through December 2026. The AI4PI Award application window opens in July, recognizing projects that have used AI responsibly to advance human and organizational performance.
The Renaissance is not just a look backward at the masters who built this field. It is a commitment to carrying their rigor forward into the territory that comes next. AI4PI is how we do that.
Something else is coming. Stay close.
Join us in the ISPI Renaissance
The future of performance improvement requires all of us. Here is how you can get involved and support the movement:
Become a Member: Connect with a global community of systems thinkers and performance technologists.
Volunteer: Bring your expertise to our strategic initiatives and help shape the future of our field.
Donate: Invest in the ISPI mission and support vital programs like the Training Masters Revival series.
Article by Dr. Lynne MacBain, CPT, CAIT
Dalat, Y. (2024). A FRAMEWORK TO IMPLEMENT EFFECTIVE, SUSTAINABLE HUMAN-CENTERED ARTIFICIAL INTELLIGENCE SOLUTIONS. Performance Improvement, 63(2), 47–51. https://doi.org/10.56811/PFI-24-0001.1